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A topic modeling based bibliometric exploration of hydropower research

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Cited by:

  1. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
  2. Imran, Muhammad & Haglind, Fredrik & Asim, Muhammad & Zeb Alvi, Jahan, 2018. "Recent research trends in organic Rankine cycle technology: A bibliometric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 552-562.
  3. Long Ho & Peter Goethals, 2020. "Research hotspots and current challenges of lakes and reservoirs: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 603-631, July.
  4. Bai, Xiwen & Zhang, Xiunian & Li, Kevin X. & Zhou, Yaoming & Yuen, Kum Fai, 2021. "Research topics and trends in the maritime transport: A structural topic model," Transport Policy, Elsevier, vol. 102(C), pages 11-24.
  5. Ćurlin Tamara & Jaković Božidar & Miloloža Ivan, 2019. "Twitter usage in Tourism: Literature Review," Business Systems Research, Sciendo, vol. 10(1), pages 102-119, April.
  6. Jihong Chen & Kai Zhang & Yuan Zhou & Yufei Liu & Lingfeng Li & Zheng Chen & Li Yin, 2019. "Exploring the Development of Research, Technology and Business of Machine Tool Domain in New-Generation Information Technology Environment Based on Machine Learning," Sustainability, MDPI, vol. 11(12), pages 1-38, June.
  7. Manvendra Janmaijaya & Amit K. Shukla & Ajith Abraham & Pranab K. Muhuri, 2018. "A Scientometric Study of Neurocomputing Publications (1992–2018): An Aerial Overview of Intrinsic Structure," Publications, MDPI, vol. 6(3), pages 1-22, July.
  8. Ramón Barrera-Barrera, 2022. "Selecting the appropriate leading journal in Hospitality and Tourism research: a guide based on the topic-journal fit and the JCR impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1801-1823, April.
  9. Xieling Chen & Juan Chen & Gary Cheng & Tao Gong, 2020. "Topics and trends in artificial intelligence assisted human brain research," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-27, April.
  10. Xia, Bingqing & Qiang, Maoshan & Chen, Wenchao & Fan, Qixiang & Jiang, Hanchen & An, Nan, 2018. "A benefit-sharing model for hydropower projects based on stakeholder input-output analysis: A case study of the Xiluodu Project in China," Land Use Policy, Elsevier, vol. 73(C), pages 341-352.
  11. Jiang, Hanchen & Qiang, Maoshan & Fan, Qixiang & Zhang, Mengqing, 2018. "Scientific research driven by large-scale infrastructure projects: A case study of the Three Gorges Project in China," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 61-71.
  12. Zhikun Ding & Rongsheng Liu & Zongjie Li & Cheng Fan, 2020. "A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management," Energies, MDPI, vol. 13(18), pages 1-33, September.
  13. Muhammad Farooq & Muhammad Asim & Muhammad Imran & Shahid Imran & Jameel Ahmad & Muhammad Rizwan Younis, 2018. "Mapping past, current and future energy research trend in Pakistan: a scientometric assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1733-1753, December.
  14. Aminath Shausan & Aapeli Vuorinen, 2023. "Thirty-six years of contributions to queueing systems: a content analysis, topic modeling, and graph-based exploration of research published in the QUESTA journal," Queueing Systems: Theory and Applications, Springer, vol. 104(1), pages 3-18, June.
  15. Afful-Dadzie, Eric & Afful-Dadzie, Anthony, 2017. "Liberation of public data: Exploring central themes in open government data and freedom of information research," International Journal of Information Management, Elsevier, vol. 37(6), pages 664-672.
  16. Chankook Park & Minkyu Kim, 2021. "A Study on the Characteristics of Academic Topics Related to Renewable Energy Using the Structural Topic Modeling and the Weak Signal Concept," Energies, MDPI, vol. 14(5), pages 1-24, March.
  17. Won Sang Lee & So Young Sohn, 2017. "Identifying Emerging Trends of Financial Business Method Patents," Sustainability, MDPI, vol. 9(9), pages 1-21, September.
  18. de Wildt, Tristan E. & Chappin, Emile J.L. & van de Kaa, Geerten & Herder, Paulien M., 2018. "A comprehensive approach to reviewing latent topics addressed by literature across multiple disciplines," Applied Energy, Elsevier, vol. 228(C), pages 2111-2128.
  19. Debnath, R. & Darby, S. & Bardhan, R. & Mohaddes, K. & Sunikka-Blank, M., 2020. "Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research," Cambridge Working Papers in Economics 2062, Faculty of Economics, University of Cambridge.
  20. Sung-Ho Shin & Oh Kyoung Kwon & Xiao Ruan & Prem Chhetri & Paul Tae-Woo Lee & Shahrooz Shahparvari, 2018. "Analyzing Sustainability Literature in Maritime Studies with Text Mining," Sustainability, MDPI, vol. 10(10), pages 1-19, September.
  21. Anne Parlina & Kalamullah Ramli & Hendri Murfi, 2021. "Exposing Emerging Trends in Smart Sustainable City Research Using Deep Autoencoders-Based Fuzzy C-Means," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
  22. Minkyu Kim & Chankook Park, 2021. "Academic Topics Related to Household Energy Consumption Using the Future Sign Detection Technique," Energies, MDPI, vol. 14(24), pages 1-24, December.
  23. Gema Hernández-Moral & Sofía Mulero-Palencia & Víctor Iván Serna-González & Carla Rodríguez-Alonso & Roberto Sanz-Jimeno & Vangelis Marinakis & Nikos Dimitropoulos & Zoi Mylona & Daniele Antonucci & H, 2021. "Big Data Value Chain: Multiple Perspectives for the Built Environment," Energies, MDPI, vol. 14(15), pages 1-21, July.
  24. Scherer, Laura & Pfister, Stephan, 2016. "Global water footprint assessment of hydropower," Renewable Energy, Elsevier, vol. 99(C), pages 711-720.
  25. Xie, Xiaomin & Jiang, Xiaoyun & Zhang, Tingting & Huang, Zhen, 2019. "Regional water footprints assessment for hydroelectricity generation in China," Renewable Energy, Elsevier, vol. 138(C), pages 316-325.
  26. Hakyeon Lee & Pilsung Kang, 2018. "Identifying core topics in technology and innovation management studies: a topic model approach," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1291-1317, October.
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