Huang He Qi

Personal Details

First Name:	Huang
Middle Name:	He
Last Name:	Qi
Suffix:
RePEc Short-ID:	pqi124
	[This author has chosen not to make the email address public]

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Bamisile, Olusola & Huang, Qi & Xu, Xiao & Hu, Weihao & Liu, Wen & Liu, Zhou & Chen, Zhe, 2020. "An approach for sustainable energy planning towards 100 % electrification of Nigeria by 2030," Energy, Elsevier, vol. 197(C).

   Cited by:

   1. Juanpera, M. & Domenech, B. & Ferrer-Martí, L. & Garzón, A. & Pastor, R., 2021. "Renewable-based electrification for remote locations. Does short-term success endure over time? A case study in Peru," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
   2. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
   3. Dimnwobi, Stephen & Madichie, Chekwube & Ekesiobi, Chukwunonso & Asongu, Simplice A, 2022. "Financial Development and Renewable Energy Consumption in Nigeria," MPRA Paper 119312, University Library of Munich, Germany.
      • Dimnwobi, Stephen Kelechi & Madichie, Chekwube V. & Ekesiobi, Chukwunonso & Asongu, Simplice A., 2022. "Financial development and renewable energy consumption in Nigeria," Renewable Energy, Elsevier, vol. 192(C), pages 668-677.
      • Stephen K. Dimnwobi & Chekwube V. Madichie & Chukwunonso Ekesiobi & Simplice A. Asongu, 2022. "Financial Development and Renewable Energy Consumption in Nigeria," Working Papers of the African Governance and Development Institute. 22/024, African Governance and Development Institute..
      • Stephen K. Dimnwobi & Chekwube V. Madichie & Chukwunonso Ekesiobi & Simplice A. Asongu, 2022. "Financial Development and Renewable Energy Consumption in Nigeria," Working Papers 22/024, European Xtramile Centre of African Studies (EXCAS).
   4. Juan Carlos Osorio-Aravena & Marina Frolova & Julio Terrados-Cepeda & Emilio Muñoz-Cerón, 2020. "Spatial Energy Planning: A Review," Energies, MDPI, vol. 13(20), pages 1-14, October.
   5. Tanoto, Yusak & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2021. "Reliability-cost trade-offs for electricity industry planning with high variable renewable energy penetrations in emerging economies: A case study of Indonesia’s Java-Bali grid," Energy, Elsevier, vol. 227(C).
   6. Groppi, Daniele & Nastasi, Benedetto & Prina, Matteo Giacomo, 2022. "The EPLANoptMAC model to plan the decarbonisation of the maritime transport sector of a small island," Energy, Elsevier, vol. 254(PA).
   7. Joseph Akpan & Oludolapo Olanrewaju, 2023. "Towards a Common Methodology and Modelling Tool for 100% Renewable Energy Analysis: A Review," Energies, MDPI, vol. 16(18), pages 1-42, September.
   8. Owebor, K. & Diemuodeke, E.O. & Briggs, T.A., 2022. "Thermo-economic and environmental analysis of integrated power plant with carbon capture and storage technology," Energy, Elsevier, vol. 240(C).
   9. Okonkwo, Eric C. & Wole-Osho, Ifeoluwa & Bamisile, Olusola & Abid, Muhammad & Al-Ansari, Tareq, 2021. "Grid integration of renewable energy in Qatar: Potentials and limitations," Energy, Elsevier, vol. 235(C).
   10. Makhloufi, Saida & Khennas, Smail & Bouchaib, Sami & Arab, Amar Hadj, 2022. "Multi-objective cuckoo search algorithm for optimized pathways for 75 % renewable electricity mix by 2050 in Algeria," Renewable Energy, Elsevier, vol. 185(C), pages 1410-1424.
   11. Wang, Xiaokui & Bamisile, Olusola & Chen, Shuheng & Xu, Xiao & Luo, Shihua & Huang, Qi & Hu, Weihao, 2022. "Decarbonization of China's electricity systems with hydropower penetration and pumped-hydro storage: Comparing the policies with a techno-economic analysis," Renewable Energy, Elsevier, vol. 196(C), pages 65-83.
   12. Sandra Chukwudumebi Obiora & Olusola Bamisile & Evans Opoku-Mensah & Adasa Nkrumah Kofi Frimpong, 2020. "Impact of Banking and Financial Systems on Environmental Sustainability: An Overarching Study of Developing, Emerging, and Developed Economies," Sustainability, MDPI, vol. 12(19), pages 1-21, September.
   13. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
   14. Hamagham Peter Ishaku & Humphrey Adun & Moein Jazayeri & Mehmet Kusaf, 2022. "Decarbonisation Strategy for Renewable Energy Integration for Electrification of West African Nations: A Bottom-Up EnergyPLAN Modelling of West African Power Pool Targets," Sustainability, MDPI, vol. 14(23), pages 1-36, November.
   15. Zhang, Changbing & Cao, Wenzhe & Xie, Tingting & Wang, Chongxun & Shen, Chunhe & Wen, Xiankui & Mao, Cheng, 2022. "Operational characteristics and optimization of Hydro-PV power hybrid electricity system," Renewable Energy, Elsevier, vol. 200(C), pages 601-613.
   16. Sorknæs, Peter & Johannsen, Rasmus M. & Korberg, Andrei D. & Nielsen, Tore B. & Petersen, Uni R. & Mathiesen, Brian V., 2022. "Electrification of the industrial sector in 100% renewable energy scenarios," Energy, Elsevier, vol. 254(PB).
   17. Mustapha Mukhtar & Sandra Obiora & Nasser Yimen & Zhang Quixin & Olusola Bamisile & Pauline Jidele & Young I. Irivboje, 2021. "Effect of Inadequate Electrification on Nigeria’s Economic Development and Environmental Sustainability," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
   18. Yao Li & Liulin Yang & Tianlu Luo, 2023. "Energy System Low-Carbon Transition under Dual-Carbon Goals: The Case of Guangxi, China Using the EnergyPLAN Tool," Energies, MDPI, vol. 16(8), pages 1-16, April.
   19. Nielsen, Steffen & Østergaard, Poul Alberg & Sperling, Karl, 2023. "Renewable energy transition, transmission system impacts and regional development – a mismatch between national planning and local development," Energy, Elsevier, vol. 278(PA).
   20. Wasiu Olalekan Idris & Mohd Zamri Ibrahim & Aliashim Albani, 2020. "The Status of the Development of Wind Energy in Nigeria," Energies, MDPI, vol. 13(23), pages 1-16, November.
   21. Temitope Adeyemi-Kayode & Sanjay Misra & Hope Orovwode & Anthony Adoghe, 2022. "Modeling the Next Decade of Energy Sustainability: A Case of a Developing Country," Energies, MDPI, vol. 15(14), pages 1-19, July.

2. Hu, Rui & Hu, Weihao & Gökmen, Nuri & Li, Pengfei & Huang, Qi & Chen, Zhe, 2019. "High resolution wind speed forecasting based on wavelet decomposed phase space reconstruction and self-organizing map," Renewable Energy, Elsevier, vol. 140(C), pages 17-31.

   Cited by:

   1. Lu, Peng & Ye, Lin & Zhao, Yongning & Dai, Binhua & Pei, Ming & Tang, Yong, 2021. "Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges," Applied Energy, Elsevier, vol. 301(C).
   2. Jiang, Zhe & Zhang, Lin & Zhang, Lingling & Wen, Bo, 2022. "Investor sentiment and machine learning: Predicting the price of China's crude oil futures market," Energy, Elsevier, vol. 247(C).
   3. Lin, Boqiang & Zhang, Chongchong, 2021. "A novel hybrid machine learning model for short-term wind speed prediction in inner Mongolia, China," Renewable Energy, Elsevier, vol. 179(C), pages 1565-1577.
   4. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
   5. Zhang, Chu & Ji, Chunlei & Hua, Lei & Ma, Huixin & Nazir, Muhammad Shahzad & Peng, Tian, 2022. "Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction," Renewable Energy, Elsevier, vol. 197(C), pages 668-682.
   6. Yang, Rui & Liu, Hui & Nikitas, Nikolaos & Duan, Zhu & Li, Yanfei & Li, Ye, 2022. "Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach," Energy, Elsevier, vol. 239(PB).
   7. Jianguo Zhou & Dongfeng Chen, 2021. "Carbon Price Forecasting Based on Improved CEEMDAN and Extreme Learning Machine Optimized by Sparrow Search Algorithm," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
   8. Yang, Qiuling & Deng, Changhong & Chang, Xiqiang, 2022. "Ultra-short-term / short-term wind speed prediction based on improved singular spectrum analysis," Renewable Energy, Elsevier, vol. 184(C), pages 36-44.
   9. Gao, Tian & Niu, Dongxiao & Ji, Zhengsen & Sun, Lijie, 2022. "Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm," Energy, Elsevier, vol. 261(PB).
   10. Wang, Han & Yan, Jie & Han, Shuang & Liu, Yongqian, 2020. "Switching strategy of the low wind speed wind turbine based on real-time wind process prediction for the integration of wind power and EVs," Renewable Energy, Elsevier, vol. 157(C), pages 256-272.
   11. Wang, Yun & Xu, Houhua & Song, Mengmeng & Zhang, Fan & Li, Yifen & Zhou, Shengchao & Zhang, Lingjun, 2023. "A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting," Applied Energy, Elsevier, vol. 333(C).
   12. Ifaei, Pouya & Nazari-Heris, Morteza & Tayerani Charmchi, Amir Saman & Asadi, Somayeh & Yoo, ChangKyoo, 2023. "Sustainable energies and machine learning: An organized review of recent applications and challenges," Energy, Elsevier, vol. 266(C).

3. Li, Pengfei & Hu, Weihao & Hu, Rui & Huang, Qi & Yao, Jun & Chen, Zhe, 2019. "Strategy for wind power plant contribution to frequency control under variable wind speed," Renewable Energy, Elsevier, vol. 130(C), pages 1226-1236.

   Cited by:

   1. Anukriti Pokhriyal & José Luis Domínguez-García & Pedro Gómez-Romero, 2022. "Impact of Battery Energy System Integration in Frequency Control of an Electrical Grid with Wind Power," Clean Technol., MDPI, vol. 4(4), pages 1-15, October.
   2. Lingqin Xia & Guang Chen & Tao Wu & Yu Gao & Ardashir Mohammadzadeh & Ebrahim Ghaderpour, 2022. "Optimal Intelligent Control for Doubly Fed Induction Generators," Mathematics, MDPI, vol. 11(1), pages 1-16, December.
   3. Wang, Huaizhi & Liu, Yangyang & Zhou, Bin & Voropai, Nikolai & Cao, Guangzhong & Jia, Youwei & Barakhtenko, Evgeny, 2020. "Advanced adaptive frequency support scheme for DFIG under cyber uncertainty," Renewable Energy, Elsevier, vol. 161(C), pages 98-109.
   4. Krzysztof Wrobel & Krzysztof Tomczewski & Artur Sliwinski & Andrzej Tomczewski, 2021. "Optimization of a Small Wind Power Plant for Annual Wind Speed Distribution," Energies, MDPI, vol. 14(6), pages 1-18, March.
   5. Dariusz Świsulski & Piotr Warda, 2023. "Implementation of an Adaptive Method for Changing the Frequency Division of the Counter Clock Signal in a Frequency-to-Code Converter," Energies, MDPI, vol. 16(14), pages 1-21, July.
   6. Khan, Asif & Seyedmahmoudian, Mehdi & Raza, Ali & Stojcevski, Alex, 2021. "Analytical review on common and state-of-the-art FR strategies for VSC-MTDC integrated offshore wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
   7. Mohamed Hadri & Vincenzo Trovato & Agnes Bialecki & Bruno Merk & Aiden Peakman, 2021. "Assessment of High-Electrification UK Scenarios with Varying Levels of Nuclear Power and Associated Post-Fault Behaviour," Energies, MDPI, vol. 14(6), pages 1-23, March.

4. Wang, Ni & Li, Jian & Hu, Weihao & Zhang, Baohua & Huang, Qi & Chen, Zhe, 2019. "Optimal reactive power dispatch of a full-scale converter based wind farm considering loss minimization," Renewable Energy, Elsevier, vol. 139(C), pages 292-301.

   Cited by:

   1. Wang, Ni & Li, Jian & Yu, Xiang & Zhou, Dao & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2020. "Optimal active and reactive power cooperative dispatch strategy of wind farm considering levelised production cost minimisation," Renewable Energy, Elsevier, vol. 148(C), pages 113-123.
   2. Xu, Xiao & Hu, Weihao & Cao, Di & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Optimized sizing of a standalone PV-wind-hydropower station with pumped-storage installation hybrid energy system," Renewable Energy, Elsevier, vol. 147(P1), pages 1418-1431.
   3. Hu, Rui & Hu, Weihao & Gökmen, Nuri & Li, Pengfei & Huang, Qi & Chen, Zhe, 2019. "High resolution wind speed forecasting based on wavelet decomposed phase space reconstruction and self-organizing map," Renewable Energy, Elsevier, vol. 140(C), pages 17-31.
   4. Yuchen Song & Weihao Hu & Xiao Xu & Qi Huang & Gang Chen & Xiaoyan Han & Zhe Chen, 2019. "Optimal Investment Strategies for Solar Energy Based Systems," Energies, MDPI, vol. 12(14), pages 1-17, July.
   5. Song, Dongran & Liu, Junbo & Yang, Jian & Su, Mei & Wang, Yun & Yang, Xuebing & Huang, Lingxiang & Joo, Young Hoon, 2020. "Optimal design of wind turbines on high-altitude sites based on improved Yin-Yang pair optimization," Energy, Elsevier, vol. 193(C).
   6. Liao, Hao & Hu, Weihao & Wu, Xiawei & Wang, Ni & Liu, Zhou & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Active power dispatch optimization for offshore wind farms considering fatigue distribution," Renewable Energy, Elsevier, vol. 151(C), pages 1173-1185.
   7. Huang, Zhanghao & Zhang, Yachao & Xie, Shiwei, 2022. "Data-adaptive robust coordinated optimization of dynamic active and reactive power flow in active distribution networks," Renewable Energy, Elsevier, vol. 188(C), pages 164-183.
   8. Jianjun Chen & Weihao Hu & Di Cao & Bin Zhang & Qi Huang & Zhe Chen & Frede Blaabjerg, 2019. "An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach," Energies, MDPI, vol. 12(14), pages 1-15, July.

5. Li, Pengfei & Hu, Weihao & Xu, Xiao & Huang, Qi & Liu, Zhou & Chen, Zhe, 2019. "A frequency control strategy of electric vehicles in microgrid using virtual synchronous generator control," Energy, Elsevier, vol. 189(C).

   Cited by:

   1. Xing, Wei & Wang, Hewu & Lu, Languang & Han, Xuebing & Sun, Kai & Ouyang, Minggao, 2021. "An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids," Energy, Elsevier, vol. 233(C).
   2. Rao, Yingqing & Yang, Jun & Xiao, Jinxing & Xu, Bingyan & Liu, Wenjing & Li, Yonghui, 2021. "A frequency control strategy for multimicrogrids with V2G based on the improved robust model predictive control," Energy, Elsevier, vol. 222(C).
   3. Mousavizade, Mirsaeed & Bai, Feifei & Garmabdari, Rasoul & Sanjari, Mohammad & Taghizadeh, Foad & Mahmoudian, Ali & Lu, Junwei, 2023. "Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations," Applied Energy, Elsevier, vol. 341(C).
   4. Géremi Gilson Dranka & Paula Ferreira, 2020. "Electric Vehicles and Biofuels Synergies in the Brazilian Energy System," Energies, MDPI, vol. 13(17), pages 1-22, August.
   5. Adlan Pradana & Mejbaul Haque & Mithulanathan Nadarajah, 2023. "Control Strategies of Electric Vehicles Participating in Ancillary Services: A Comprehensive Review," Energies, MDPI, vol. 16(4), pages 1-36, February.
   6. Gao, Yan & Jiang, Chen & Yu, Dahai & Ahmad, Maiwand, 2023. "A novel electric differential and synchronization control method for 4WD/4WS electric vehicles based on fictitious master," Energy, Elsevier, vol. 274(C).
   7. Yeong Yoo & Yousef Al-Shawesh & Alain Tchagang, 2021. "Coordinated Control Strategy and Validation of Vehicle-to-Grid for Frequency Control," Energies, MDPI, vol. 14(9), pages 1-23, April.
   8. Myada Shadoul & Razzaqul Ahshan & Rashid S. AlAbri & Abdullah Al-Badi & Mohammed Albadi & Mohsin Jamil, 2022. "A Comprehensive Review on a Virtual-Synchronous Generator: Topologies, Control Orders and Techniques, Energy Storages, and Applications," Energies, MDPI, vol. 15(22), pages 1-27, November.
   9. Huo, Yujia & Gruosso, Giambattista, 2020. "A novel ramp-rate control of grid-tied PV-Battery systems to reduce required battery capacity," Energy, Elsevier, vol. 210(C).
   10. Yuxin Wen & Peixiao Fan & Jia Hu & Song Ke & Fuzhang Wu & Xu Zhu, 2022. "An Optimal Scheduling Strategy of a Microgrid with V2G Based on Deep Q-Learning," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
   11. Xiu, Liancheng & Du, Zhiye & Wu, BinBing & Li, Guanjun & Wang, Dongjie & Song, Hanliang, 2021. "A novel adaptive frequency extraction method for fast and accurate connection between inverters and microgrids," Energy, Elsevier, vol. 221(C).
   12. Faris Adnan Padhilah & Kyeong-Hwa Kim, 2021. "A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints," Sustainability, MDPI, vol. 13(16), pages 1-37, August.

6. Yuchen Song & Weihao Hu & Xiao Xu & Qi Huang & Gang Chen & Xiaoyan Han & Zhe Chen, 2019. "Optimal Investment Strategies for Solar Energy Based Systems," Energies, MDPI, vol. 12(14), pages 1-17, July.

   Cited by:

   1. Alexandra G. Papadopoulou & George Vasileiou & Alexandros Flamos, 2020. "A Comparison of Dispatchable RES Technoeconomics: Is There a Niche for Concentrated Solar Power?," Energies, MDPI, vol. 13(18), pages 1-22, September.
   2. Elisa Marrasso & Carlo Roselli & Francesco Tariello, 2020. "Comparison of Two Solar PV-Driven Air Conditioning Systems with Different Tracking Modes," Energies, MDPI, vol. 13(14), pages 1-24, July.

7. Xiawei Wu & Weihao Hu & Qi Huang & Cong Chen & Zhe Chen & Frede Blaabjerg, 2019. "Optimized Placement of Onshore Wind Farms Considering Topography," Energies, MDPI, vol. 12(15), pages 1-18, July.

   Cited by:

   1. Chakib El Mokhi & Adnane Addaim, 2020. "Optimization of Wind Turbine Interconnections in an Offshore Wind Farm Using Metaheuristic Algorithms," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
   2. Daniel Duda & Václav Uruba & Vitalii Yanovych, 2021. "Wake Width: Discussion of Several Methods How to Estimate It by Using Measured Experimental Data," Energies, MDPI, vol. 14(15), pages 1-19, August.
   3. Florin Onea & Andrés Ruiz & Eugen Rusu, 2020. "An Evaluation of the Wind Energy Resources along the Spanish Continental Nearshore," Energies, MDPI, vol. 13(15), pages 1-23, August.
   4. Waldemar Kuczyński & Katarzyna Wolniewicz & Henryk Charun, 2021. "Analysis of the Wind Turbine Selection for the Given Wind Conditions," Energies, MDPI, vol. 14(22), pages 1-16, November.
   5. Andrés Ruiz & Florin Onea & Eugen Rusu, 2020. "Study Concerning the Expected Dynamics of the Wind Energy Resources in the Iberian Nearshore," Energies, MDPI, vol. 13(18), pages 1-25, September.
   6. Katarzyna Wolniewicz & Adam Zagubień & Mirosław Wesołowski, 2021. "Energy and Acoustic Environmental Effective Approach for a Wind Farm Location," Energies, MDPI, vol. 14(21), pages 1-17, November.

8. Jianjun Chen & Weihao Hu & Di Cao & Bin Zhang & Qi Huang & Zhe Chen & Frede Blaabjerg, 2019. "An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach," Energies, MDPI, vol. 12(14), pages 1-15, July.

   Cited by:

   1. Yuri Vankov & Aleksey Rumyantsev & Shamil Ziganshin & Tatyana Politova & Rinat Minyazev & Ayrat Zagretdinov, 2020. "Assessment of the Condition of Pipelines Using Convolutional Neural Networks," Energies, MDPI, vol. 13(3), pages 1-12, February.
   2. Jorge Maldonado-Correa & Sergio Martín-Martínez & Estefanía Artigao & Emilio Gómez-Lázaro, 2020. "Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review," Energies, MDPI, vol. 13(12), pages 1-21, June.
   3. Hongwei Li & Kaide Ren & Shuaibing Li & Haiying Dong, 2020. "Adaptive Multi-Model Switching Predictive Active Power Control Scheme for Wind Generator System," Energies, MDPI, vol. 13(6), pages 1-12, March.
   4. Chatterjee, Joyjit & Dethlefs, Nina, 2021. "Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).

9. Yufei Teng & Xiaopeng Li & Qi Huang & Yifei Wang & Shi Jing & Zhenchao Jiang & Wei Zhen, 2017. "A Novel High-Frequency Voltage Standing-Wave Ratio-Based Grounding Electrode Line Fault Supervision in Ultra-High Voltage DC Transmission Systems," Energies, MDPI, vol. 10(3), pages 1-17, March.

   Cited by:

   1. Ngo Minh Khoa & Doan Duc Tung, 2018. "Locating Fault on Transmission Line with Static Var Compensator Based on Phasor Measurement Unit," Energies, MDPI, vol. 11(9), pages 1-14, September.

10. Zhaohui Chen & Qi Huang, 2016. "Globally exponential stability and stabilization of interconnected Markovian jump system with mode-dependent delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(1), pages 14-31, January.

    Cited by:

    1. Hongqian Lu & Chaoqun Guo & Yue Hu & Wuneng Zhou, 2019. "Event-Triggered Stability Analysis of Semi-Markovian Jump Networked Control System with Actuator Faults and Time-Varying Delay via Bessel–Legendre Inequalities," Complexity, Hindawi, vol. 2019, pages 1-16, October.

11. Qi Huang & Marshall S. Jiang & Jianjun Miao, 2016. "Effect of government subsidization on Chinese industrial firms’ technological innovation efficiency: A stochastic frontier analysis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(2), pages 187-200, April.

    Cited by:

    1. Wang, Mei Ling, 2023. "Effects of the green finance policy on the green innovation efficiency of the manufacturing industry: A difference-in-difference model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Chang, Kai & Long, Yu & Yang, Jiahui & Zhang, Huijia & Xue, Chenqi & Liu, Jianing, 2022. "Effects of subsidy and tax rebate policies on green firm research and development efficiency in China," Energy, Elsevier, vol. 258(C).
    3. Yongli Zhang & Sanggyun Na & Jianguang Niu & Beichen Jiang, 2018. "The Influencing Factors, Regional Difference and Temporal Variation of Industrial Technology Innovation: Evidence with the FOA-GRNN Model," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    4. Wang, Nannan & Gong, Zheng & Xu, Zhuhuizi & Liu, Zhankun & Han, Yu, 2021. "A quantitative investigation of the technological innovation in large construction companies," Technology in Society, Elsevier, vol. 65(C).

12. Chen, Zhaohui & Huang, Qi & Liu, Zhang, 2015. "Decentralized finite-time H∞ filtering for interconnected Markovian jump system with interval mode-dependent delays," Applied Mathematics and Computation, Elsevier, vol. 258(C), pages 138-154.

    Cited by:

    1. Wenhai Qi & Yonggui Kao & Xianwen Gao, 2017. "Further results on finite-time stabilisation for stochastic Markovian jump systems with time-varying delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(14), pages 2967-2975, October.

13. Qi Huang & Richard M. Levich, 2003. "Underpricing Of New Equity Offerings By Privatized Firms: An International Test," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-30.

    Cited by:

    1. Jeffry M. Netter & William L. Megginson, 2001. "From State to Market: A Survey of Empirical Studies on Privatization," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 321-389, June.
    2. Saeed Md. Abdullah & Simon Zaby, 2021. "Seasoned Equity Offerings and Differences in Share-Price Impact by Firm Categories," IJFS, MDPI, vol. 9(3), pages 1-10, July.
    3. Henna Malik & Malik Muhammad Shehr Yar & Attiya Yasmin Javid, 2017. "New Issues Puzzle: Experience from Karachi Stock Exchange," Working Papers id:12182, eSocialSciences.

14. C. Kanzow & H. Qi & L. Qi, 2003. "On the Minimum Norm Solution of Linear Programs," Journal of Optimization Theory and Applications, Springer, vol. 116(2), pages 333-345, February.

    Cited by:

    1. Moosaei, H. & Ketabchi, S. & Noor, M.A. & Iqbal, J. & Hooshyarbakhsh, V., 2015. "Some techniques for solving absolute value equations," Applied Mathematics and Computation, Elsevier, vol. 268(C), pages 696-705.
    2. Saeed Ketabchi & Hossein Moosaei, 2012. "Minimum Norm Solution to the Absolute Value Equation in the Convex Case," Journal of Optimization Theory and Applications, Springer, vol. 154(3), pages 1080-1087, September.
    3. G. Zhou & K. C. Toh, 2005. "Superlinear Convergence of a Newton-Type Algorithm for Monotone Equations," Journal of Optimization Theory and Applications, Springer, vol. 125(1), pages 205-221, April.
    4. Hossein Moosaei & Milan Hladík, 2021. "On the Optimal Correction of Infeasible Systems of Linear Inequalities," Journal of Optimization Theory and Applications, Springer, vol. 190(1), pages 32-55, July.
    5. M. J. Cánovas & M. J. Gisbert & D. Klatte & J. Parra, 2022. "Projection-Based Local and Global Lipschitz Moduli of the Optimal Value in Linear Programming," Journal of Optimization Theory and Applications, Springer, vol. 193(1), pages 280-299, June.

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