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Funding acknowledgment analysis: Queries and caveats

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Cited by:

  1. Guangyuan Hu & Lei Wang & Rong Ni & Weishu Liu, 2020. "Which h-index? An exploration within the Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1225-1233, June.
  2. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
  3. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
  4. Ji-ping Gao & Cheng Su & Hai-yan Wang & Li-hua Zhai & Yun-tao Pan, 2019. "Research fund evaluation based on academic publication output analysis: the case of Chinese research fund evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 959-972, May.
  5. Zhang, Lin & ZHAO, Wenjing & Liu, Jianhua & Sivertsen, Gunnar & HUANG, Ying, 2020. "Do national funding organizations properly address the diseases with the highest burden? - Observations from China and the UK," SocArXiv ckpf8, Center for Open Science.
  6. Junwen Zhu & Guangyuan Hu & Weishu Liu, 2019. "DOI errors and possible solutions for Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 709-718, February.
  7. Star X. Zhao & Wen Lou & Alice M. Tan & Shuang Yu, 2018. "Do funded papers attract more usage?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 153-168, April.
  8. Guo, Liying & Wang, Yang & Li, Meiling, 2024. "Exploration, exploitation and funding success: Evidence from junior scientists supported by the Chinese Young Scientists Fund," Journal of Informetrics, Elsevier, vol. 18(2).
  9. Weishu Liu, 2020. "Accuracy of funding information in Scopus: a comparative case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 803-811, July.
  10. Wen Lou & Yuehua Zhao & Yuchen Chen & Jin Zhang, 2018. "Research or management? An investigation of the impact of leadership roles on the research performance of academic administrators," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 191-209, October.
  11. Weishu Liu, 2021. "A matter of time: publication dates in Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 849-857, January.
  12. Lin Zhang & Wenjing Zhao & Jianhua Liu & Gunnar Sivertsen & Ying Huang, 2020. "Do national funding organizations properly address the diseases with the highest burden?: Observations from China and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1733-1761, November.
  13. Manoj Kumar Verma & Daud Khan & Mayank Yuvaraj, 2023. "Scientometric assessment of funded scientometrics and bibliometrics research (2011–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4305-4320, August.
  14. Daniele Rotolo & Michael Hopkins & Nicola Grassano, 2023. "Do funding sources complement or substitute? Examining the impact of cancer research publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 50-66, January.
  15. Hui Li & Weishu Liu, 2020. "Same same but different: self-citations identified through Scopus and Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2723-2732, September.
  16. Li Tang & Jennifer Kuzma & Xi Zhang & Xinyu Song & Yin Li & Hongxu Liu & Guangyuan Hu, 2023. "Synthetic biology and governance research in China: a 40-year evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5293-5310, September.
  17. Alberto Baccini & Eugenio Petrovich, 2022. "Normative versus strategic accounts of acknowledgment data: The case of the top-five journals of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 603-635, January.
  18. Shanwu Tian & Xiurui Xu & Ping Li, 2021. "Acknowledgement network and citation count: the moderating role of collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7837-7857, September.
  19. Xiaoling Huang & Lei Wang & Weishu Liu, 2023. "Identification of national research output using Scopus/Web of Science Core Collection: a revisit and further investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2337-2347, April.
  20. Erjia Yan & Chaojiang Wu & Min Song, 2018. "The funding factor: a cross-disciplinary examination of the association between research funding and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 369-384, April.
  21. Belén Álvarez-Bornstein & Fernanda Morillo & María Bordons, 2017. "Funding acknowledgments in the Web of Science: completeness and accuracy of collected data," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1793-1812, September.
  22. Liu, Weishu, 2021. "Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  23. Jamal El-Ouahi, 2024. "Research funding in the Middle East and North Africa: analyses of acknowledgments in scientific publications indexed in the Web of Science (2008–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 2933-2968, June.
  24. Liu, Weishu & Hu, Guangyuan & Tang, Li, 2018. "Missing author address information in Web of Science—An explorative study," Journal of Informetrics, Elsevier, vol. 12(3), pages 985-997.
  25. Du, Jian & Li, Peixin & Guo, Qianying & Tang, Xiaoli, 2019. "Measuring the knowledge translation and convergence in pharmaceutical innovation by funding-science-technology-innovation linkages analysis," Journal of Informetrics, Elsevier, vol. 13(1), pages 132-148.
  26. Junwen Zhu & Fang Liu & Weishu Liu, 2019. "The secrets behind Web of Science’s DOI search," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1745-1753, June.
  27. Mu-Hsuan Huang & Mei-Jhen Huang, 2018. "An analysis of global research funding from subject field and funding agencies perspectives in the G9 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 833-847, May.
  28. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Natalia R. Delbianco & Maria Cláudia Cabrini Grácio, 2024. "Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 5841-5868, October.
  29. Weishu Liu & Li Tang & Guangyuan Hu, 2020. "Funding information in Web of Science: an updated overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1509-1524, March.
  30. Shuo Xu & Liyuan Hao & Xin An & Dongsheng Zhai & Hongshen Pang, 2019. "Types of DOI errors of cited references in Web of Science with a cleaning method," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1427-1437, September.
  31. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
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