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Predicting citation counts based on deep neural network learning techniques

Citations

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Cited by:

  1. Qingnan Xie & Richard B. Freeman, 2020. "The Contribution of Chinese Diaspora Researchers to Global Science and China's Catching Up in Scientific Research," NBER Working Papers 27169, National Bureau of Economic Research, Inc.
  2. Kehan Wang & Wenxuan Shi & Junsong Bai & Xiaoping Zhao & Liying Zhang, 2021. "Prediction and application of article potential citations based on nonlinear citation-forecasting combined model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6533-6550, August.
  3. Avick Kumar Dey & Pijush Kanti Dutta Pramanik & Prasenjit Choudhury & Goutam Bandopadhyay, 2021. "Distinctive author ranking using DEA indexing," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 601-620, April.
  4. Li, Xin & Tang, Xuli & Cheng, Qikai, 2022. "Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network," Journal of Informetrics, Elsevier, vol. 16(4).
  5. Kayvan Kousha & Mike Thelwall, 2024. "Factors associating with or predicting more cited or higher quality journal articles: An Annual Review of Information Science and Technology (ARIST) paper," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(3), pages 215-244, March.
  6. Li, Xin & Ma, Xiaodi & Feng, Ye, 2024. "Early identification of breakthrough research from sleeping beauties using machine learning," Journal of Informetrics, Elsevier, vol. 18(2).
  7. Zhou, Yuhao & Wang, Ruijie & Zeng, An & Zhang, Yi-Cheng, 2020. "Identifying prize-winning scientists by a competition-aware ranking," Journal of Informetrics, Elsevier, vol. 14(3).
  8. Zhang, Fang & Wu, Shengli, 2020. "Predicting future influence of papers, researchers, and venues in a dynamic academic network," Journal of Informetrics, Elsevier, vol. 14(2).
  9. Soroush Taheri & Sadegh Aliakbary, 2022. "Research trend prediction in computer science publications: a deep neural network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 849-869, February.
  10. He, Guoxiu & Gu, Sichen & Xue, Zhikai & Duan, Yufeng & Zhu, Xiaomin, 2025. "Sequential citation counts prediction enhanced by dynamic contents," Journal of Informetrics, Elsevier, vol. 19(2).
  11. Fang Zhang & Shengli Wu, 2024. "Predicting citation impact of academic papers across research areas using multiple models and early citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4137-4166, July.
  12. Akella, Akhil Pandey & Alhoori, Hamed & Kondamudi, Pavan Ravikanth & Freeman, Cole & Zhou, Haiming, 2021. "Early indicators of scientific impact: Predicting citations with altmetrics," Journal of Informetrics, Elsevier, vol. 15(2).
  13. Chowdhury, K.P., 2021. "Functional analysis of generalized linear models under non-linear constraints with applications to identifying highly-cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
  14. Shengzhi Huang & Jiajia Qian & Yong Huang & Wei Lu & Yi Bu & Jinqing Yang & Qikai Cheng, 2022. "Disclosing the relationship between citation structure and future impact of a publication," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 1025-1042, July.
  15. Zehra Taşkın, 2021. "Forecasting the future of library and information science and its sub-fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1527-1551, February.
  16. Sato, Ryoma & Yamada, Makoto & Kashima, Hisashi, 2022. "Poincare: Recommending Publication Venues via Treatment Effect Estimation," Journal of Informetrics, Elsevier, vol. 16(2).
  17. Xie, Zheng, 2020. "Predicting publication productivity for researchers: A piecewise Poisson model," Journal of Informetrics, Elsevier, vol. 14(3).
  18. Zhou, Yuhao & Gong, Faming & Wang, Yanwei & Wang, Ruijie & Zeng, An, 2025. "Fusing structural and temporal information in citation networks for identifying milestone works," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
  19. José Satsumi López-Morales & Héctor Francisco Salazar-Núñez & Claudia Guadalupe Zarrabal-Gutiérrez, 2022. "The impact of qualitative methods on article citation: an international business research perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3225-3236, June.
  20. Hu, Ya-Han & Tai, Chun-Tien & Liu, Kang Ernest & Cai, Cheng-Fang, 2020. "Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity," Journal of Informetrics, Elsevier, vol. 14(1).
  21. Wanjun Xia & Tianrui Li & Chongshou Li, 2023. "A review of scientific impact prediction: tasks, features and methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 543-585, January.
  22. Bin Wang & Feng Wu & Lukui Shi, 2023. "AGSTA-NET: adaptive graph spatiotemporal attention network for citation count prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 511-541, January.
  23. Wan Siti Nur Aiza & Liyana Shuib & Norisma Idris & Nur Baiti Afini Normadhi, 2024. "Features, techniques and evaluation in predicting articles’ citations: a review from years 2010–2023," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(1), pages 1-29, January.
  24. Ruan, Xuanmin & Zhu, Yuanyang & Li, Jiang & Cheng, Ying, 2020. "Predicting the citation counts of individual papers via a BP neural network," Journal of Informetrics, Elsevier, vol. 14(3).
  25. Chen, Liang & Xu, Shuo & Zhu, Lijun & Zhang, Jing & Yang, Guancan & Xu, Haiyun, 2022. "A deep learning based method benefiting from characteristics of patents for semantic relation classification," Journal of Informetrics, Elsevier, vol. 16(3).
  26. Croft, William L. & Sack, Jörg-Rüdiger, 2022. "Predicting the citation count and CiteScore of journals one year in advance," Journal of Informetrics, Elsevier, vol. 16(4).
  27. Saarela, Mirka & Kärkkäinen, Tommi, 2020. "Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator," Journal of Informetrics, Elsevier, vol. 14(2).
  28. Chung, Park & Sohn, So Young, 2020. "Early detection of valuable patents using a deep learning model: Case of semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  29. Xinyuan Zhang & Qing Xie & Chaemin Song & Min Song, 2022. "Mining the evolutionary process of knowledge through multiple relationships between keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2023-2053, April.
  30. Klemiński, Rajmund & Kazienko, Przemyslaw & Kajdanowicz, Tomasz, 2021. "Where should I publish? Heterogeneous, networks-based prediction of paper’s citation success," Journal of Informetrics, Elsevier, vol. 15(3).
  31. Anqi Ma & Yu Liu & Xiujuan Xu & Tao Dong, 2021. "A deep-learning based citation count prediction model with paper metadata semantic features," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6803-6823, August.
  32. Zhao, Qihang & Feng, Xiaodong, 2022. "Utilizing citation network structure to predict paper citation counts: A Deep learning approach," Journal of Informetrics, Elsevier, vol. 16(1).
  33. Min Song & Keun Young Kang & Tatsawan Timakum & Xinyuan Zhang, 2020. "Examining influential factors for acknowledgements classification using supervised learning," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-21, February.
  34. Yuhao Zhou & Ruijie Wang & An Zeng, 2022. "Predicting the impact and publication date of individual scientists’ future papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1867-1882, April.
  35. Wumei Du & Zheng Xie & Yiqin Lv, 2021. "Predicting publication productivity for authors: Shallow or deep architecture?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5855-5879, July.
  36. Zhengang Zhang & Chuanming Yu & Jingnan Wang & Lu An, 2025. "A temporal evolution and fine-grained information aggregation model for citation count prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(4), pages 2069-2091, April.
  37. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).
  38. Morland, Christian & Tandetzki, Julia & Schier, Franziska, 2025. "An evaluation of gravity models and artificial neuronal networks on bilateral trade flows in wood markets," Forest Policy and Economics, Elsevier, vol. 172(C).
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