Qiujiang Liu

Personal Details

First Name:	Qiujiang
Middle Name:
Last Name:	Liu
Suffix:
RePEc Short-ID:	pli1177
	[This author has chosen not to make the email address public]

Affiliation

Centro de Investigação de Mercados e Activos Financeiro (CEMAF)
ISCTE - Instituto Universitário de Lisboa (ISCTE-IUL)

Lisboa, Portugal
http://cemaf.iscte.pt/
RePEc:edi:ceiscpt (more details at EDIRC)

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.

Working papers

Sorry, no citations of working papers recorded.

Articles

1. Junqi Zhang & Mingli Wu & Qiujiang Liu, 2018. "A Novel Power Flow Algorithm for Traction Power Supply Systems Based on the Thévenin Equivalent," Energies, MDPI, vol. 11(1), pages 1-17, January.

   Cited by:

   1. Xiaoqiong He & Haijun Ren & Jingying Lin & Pengcheng Han & Yi Wang & Xu Peng & Zeliang Shu, 2019. "Power Flow Analysis of the Advanced Co-Phase Traction Power Supply System," Energies, MDPI, vol. 12(4), pages 1-20, February.
   2. Zhongbei Tian & Ning Zhao & Stuart Hillmansen & Shuai Su & Chenglin Wen, 2020. "Traction Power Substation Load Analysis with Various Train Operating Styles and Substation Fault Modes," Energies, MDPI, vol. 13(11), pages 1-18, June.

2. Zhang, Caiping & Jiang, Jiuchun & Gao, Yang & Zhang, Weige & Liu, Qiujiang & Hu, Xiaosong, 2017. "Charging optimization in lithium-ion batteries based on temperature rise and charge time," Applied Energy, Elsevier, vol. 194(C), pages 569-577.

   Cited by:

   1. Feng, Xuning & Zheng, Siqi & Ren, Dongsheng & He, Xiangming & Wang, Li & Cui, Hao & Liu, Xiang & Jin, Changyong & Zhang, Fangshu & Xu, Chengshan & Hsu, Hungjen & Gao, Shang & Chen, Tianyu & Li, Yalun , 2019. "Investigating the thermal runaway mechanisms of lithium-ion batteries based on thermal analysis database," Applied Energy, Elsevier, vol. 246(C), pages 53-64.
   2. Wang, Bin & Wang, Shifeng & Tang, Yuanyuan & Tsang, Chi-Wing & Dai, Jinchuan & Leung, Michael K.H. & Lu, Xiao-Ying, 2019. "Micro/nanostructured MnCo2O4.5 anodes with high reversible capacity and excellent rate capability for next generation lithium-ion batteries," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
   3. Yin, Yilin & Choe, Song-Yul, 2020. "Actively temperature controlled health-aware fast charging method for lithium-ion battery using nonlinear model predictive control," Applied Energy, Elsevier, vol. 271(C).
   4. Xiaogang Wu & Wenwen Shi & Jiuyu Du, 2017. "Multi-Objective Optimal Charging Method for Lithium-Ion Batteries," Energies, MDPI, vol. 10(9), pages 1-18, August.
   5. Joris De Hoog & Joris Jaguemont & Mohamed Abdel-Monem & Peter Van Den Bossche & Joeri Van Mierlo & Noshin Omar, 2018. "Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging," Energies, MDPI, vol. 11(4), pages 1-15, March.
   6. Yu Ji & Xiaogang Hou & Lingfeng Kou & Ming Wu & Ying Zhang & Xiong Xiong & Baodi Ding & Ping Xue & Junlong Li & Yue Xiang, 2019. "Cost–Benefit Analysis of Energy Storage in Distribution Networks," Energies, MDPI, vol. 12(17), pages 1-23, September.
   7. Veneri, Ottorino & Capasso, Clemente & Patalano, Stanislao, 2018. "Experimental investigation into the effectiveness of a super-capacitor based hybrid energy storage system for urban commercial vehicles," Applied Energy, Elsevier, vol. 227(C), pages 312-323.
   8. Hong, Jichao & Wang, Zhenpo & Yao, Yongtao, 2019. "Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
   9. Song, Ziyou & Hou, Jun & Li, Xuefeng & Wu, Xiaogang & Hu, Xiaosong & Hofmann, Heath & Sun, Jing, 2020. "The sequential algorithm for combined state of charge and state of health estimation of lithium-ion battery based on active current injection," Energy, Elsevier, vol. 193(C).
   10. Rechkemmer, Sabrina Kathrin & Zang, Xiaoyun & Zhang, Weimin & Sawodny, Oliver, 2019. "Lifetime optimized charging strategy of Li-ion cells based on daily driving cycle of electric two-wheelers," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
   11. Yan, Xiaohe & Gu, Chenghong & Li, Furong & Xiang, Yue, 2018. "Network pricing for customer-operated energy storage in distribution networks," Applied Energy, Elsevier, vol. 212(C), pages 283-292.
   12. Hongli Liu & Luoqi Wang & Ji Li & Lei Shao & Delong Zhang, 2023. "Research on Smart Power Sales Strategy Considering Load Forecasting and Optimal Allocation of Energy Storage System in China," Energies, MDPI, vol. 16(8), pages 1-18, April.
   13. Zou, Changfu & Hu, Xiaosong & Wei, Zhongbao & Tang, Xiaolin, 2017. "Electrothermal dynamics-conscious lithium-ion battery cell-level charging management via state-monitored predictive control," Energy, Elsevier, vol. 141(C), pages 250-259.
   14. Zhao, Yang & Wang, Zhenpo & Shen, Zuo-Jun Max & Sun, Fengchun, 2021. "Data-driven framework for large-scale prediction of charging energy in electric vehicles," Applied Energy, Elsevier, vol. 282(PB).
   15. Nguyen, Su & Peng, Wei & Sokolowski, Peter & Alahakoon, Damminda & Yu, Xinghuo, 2018. "Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading," Applied Energy, Elsevier, vol. 228(C), pages 2567-2580.
   16. Woo-Seok Lee & Jin-Hak Kim & Shin-Young Cho & Il-Oun Lee, 2018. "An Improved Wireless Battery Charging System," Energies, MDPI, vol. 11(4), pages 1-12, March.
   17. Boshi Wang & Haitao Min & Weiyi Sun & Yuanbin Yu, 2021. "Research on Optimal Charging of Power Lithium-Ion Batteries in Wide Temperature Range Based on Variable Weighting Factors," Energies, MDPI, vol. 14(6), pages 1-21, March.
   18. Wu, Bing & Tang, Yuheng & Yan, Xinping & Guedes Soares, Carlos, 2021. "Bayesian Network modelling for safety management of electric vehicles transported in RoPax ships," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
   19. Yang, Lin & Cai, Yishan & Yang, Yixin & Deng, Zhongwei, 2020. "Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles," Applied Energy, Elsevier, vol. 257(C).
   20. Luis Oliveira & Arun Ulahannan & Matthew Knight & Stewart Birrell, 2020. "Wireless Charging of Electric Taxis: Understanding the Facilitators and Barriers to Its Introduction," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
   21. Zhang, Xinghui & Li, Zhao & Luo, Lingai & Fan, Yilin & Du, Zhengyu, 2022. "A review on thermal management of lithium-ion batteries for electric vehicles," Energy, Elsevier, vol. 238(PA).
   22. Fei, Zicheng & Yang, Fangfang & Tsui, Kwok-Leung & Li, Lishuai & Zhang, Zijun, 2021. "Early prediction of battery lifetime via a machine learning based framework," Energy, Elsevier, vol. 225(C).
   23. Ran Li & Xue Wei & Hui Sun & Hao Sun & Xiaoyu Zhang, 2022. "Fast Charging Optimization for Lithium-Ion Batteries Based on Improved Electro-Thermal Coupling Model," Energies, MDPI, vol. 15(19), pages 1-19, September.
   24. Choi, Wonjae & Song, Han Ho, 2018. "Well-to-wheel greenhouse gas emissions of battery electric vehicles in countries dependent on the import of fuels through maritime transportation: A South Korean case study," Applied Energy, Elsevier, vol. 230(C), pages 135-147.
   25. Tom Verstraten & Md Sazzad Hosen & Maitane Berecibar & Bram Vanderborght, 2023. "Selecting Suitable Battery Technologies for Untethered Robot," Energies, MDPI, vol. 16(13), pages 1-21, June.
   26. Jiang, Benben & Berliner, Marc D. & Lai, Kun & Asinger, Patrick A. & Zhao, Hongbo & Herring, Patrick K. & Bazant, Martin Z. & Braatz, Richard D., 2022. "Fast charging design for Lithium-ion batteries via Bayesian optimization," Applied Energy, Elsevier, vol. 307(C).
   27. Fan, Zhaohui & Fu, Yijie & Liang, Hong & Gao, Renjing & Liu, Shutian, 2023. "A module-level charging optimization method of lithium-ion battery considering temperature gradient effect of liquid cooling and charging time," Energy, Elsevier, vol. 265(C).
   28. Donateo, Teresa & Spedicato, Luigi, 2017. "Fuel economy of hybrid electric flight," Applied Energy, Elsevier, vol. 206(C), pages 723-738.
   29. Tian, Jiaqiang & Wang, Yujie & Liu, Chang & Chen, Zonghai, 2020. "Consistency evaluation and cluster analysis for lithium-ion battery pack in electric vehicles," Energy, Elsevier, vol. 194(C).

3. Liu, Q. & Liu, F. & Gu, Y.T. & Zhuang, P. & Chen, J. & Turner, I., 2015. "A meshless method based on Point Interpolation Method (PIM) for the space fractional diffusion equation," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 930-938.

   Cited by:

   1. H. Ghafouri & M. Ranjbar & A. Khani, 2020. "The Use of Partial Fractional Form of A-Stable Padé Schemes for the Solution of Fractional Diffusion Equation with Application in Option Pricing," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 695-709, December.
   2. Zieniuk, Eugeniusz, 2017. "Approximation of the derivatives of solutions in a normalized domain for 2D solids using the PIES methodAuthor-Name: Bołtuć, Agnieszka," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 138-155.
   3. Saberi Zafarghandi, Fahimeh & Mohammadi, Maryam & Babolian, Esmail & Javadi, Shahnam, 2019. "Radial basis functions method for solving the fractional diffusion equations," Applied Mathematics and Computation, Elsevier, vol. 342(C), pages 224-246.
   4. Zeid, Samaneh Soradi, 2019. "Approximation methods for solving fractional equations," Chaos, Solitons & Fractals, Elsevier, vol. 125(C), pages 171-193.
   5. Zeng, Yunhua & Tan, Zhijun, 2022. "Two-grid finite element methods for nonlinear time fractional variable coefficient diffusion equations," Applied Mathematics and Computation, Elsevier, vol. 434(C).
   6. Y. Esmaeelzade Aghdam & H. Mesgarani & A. Adl & B. Farnam, 2023. "The Convergence Investigation of a Numerical Scheme for the Tempered Fractional Black-Scholes Model Arising European Double Barrier Option," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 513-528, February.

4. H. Zhang & Q. Liu & X. Yu & L. Wang, 2014. "Influences of mulching durations on soil erosion and nutrient losses in a peanut (Arachis hypogaea)-cultivated land," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 1175-1187, June.

   Cited by:

   1. Xing Wang & Hailong Sun & Changming Tan & Xiaowen Wang & Min Xia, 2021. "Effects of Film Mulching on Plant Growth and Nutrients in Artificial Soil: A Case Study on High Altitude Slopes," Sustainability, MDPI, vol. 13(19), pages 1-15, October.
   2. Chen, Ning & Li, Xianyue & Shi, Haibin & Yan, Jianwen & Zhang, Yuehong & Hu, Qi, 2023. "Evaluating the effects of plastic film mulching duration on soil nitrogen dynamic and comprehensive benefit for corn (Zea mays L.) field," Agricultural Water Management, Elsevier, vol. 286(C).

5. B Sun & W Ma & Q Liu, 2013. "An approach to decision making based on intuitionistic fuzzy rough sets over two universes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(7), pages 1079-1089, July.

   Cited by:

   1. Abbas Mardani & Mehrbakhsh Nilashi & Jurgita Antucheviciene & Madjid Tavana & Romualdas Bausys & Othman Ibrahim, 2017. "Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature," Complexity, Hindawi, vol. 2017, pages 1-33, October.
   2. R. Mareay & Ibrahim Noaman & Radwan Abu-Gdairi & M. Badr, 2022. "On Covering-Based Rough Intuitionistic Fuzzy Sets," Mathematics, MDPI, vol. 10(21), pages 1-8, November.

6. X.-S. Zhang & J.-X. Wang & H. Wong & C.-J. Leo & Q. Liu & Y.-Q. Tang & X.-L. Yan & W.-H. Sun & Z.-Q. Huang & X.-H. Hao, 2013. "Land subsidence caused by internal soil erosion owing to pumping confined aquifer groundwater during the deep foundation construction in Shanghai," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 473-489, October.

   Cited by:

   1. Yuming Mo & Guangqiu Jin & Chenming Zhang & Jing Xu & Hongwu Tang & Chengji Shen & Alexander Scheuermann & Ling Li, 2021. "Effects of the Deep Pool on Groundwater Flow and Salinization in Coastal Reservoir and Adjacent Aquifer," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2667-2684, June.

7. Liu Q. & Proschan M.A. & Pledger G.W., 2002. "A Unified Theory of Two-Stage Adaptive Designs," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1034-1041, December.

   Cited by:

   1. Sebastian Irle & Helmut Schäfer, 2012. "Interim Design Modifications in Time-to-Event Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(497), pages 341-348, March.
   2. Bandyopadhyay, Uttam & Biswas, Atanu, 2016. "Fixed-width confidence interval for two-stage response-adaptive designs in ridit analysis," Statistics & Probability Letters, Elsevier, vol. 108(C), pages 45-51.
   3. Jingjing Chen, 2019. "A Note of Adaptive Design in Clinical Trials," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(5), pages 107-111, August.

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