Author:
Zhou Yuhao,Wang Ruijie,Zeng An
Funder
national natural science foundation of china
china scholarship council
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Reference60 articles.
1. Abrishami, A., Aliakbary, S. (2019). Predicting citation counts based on deep neural network learning techniques. Journal of Informetrics 13(2), 485–499.
2. Acuna, D. E., Allesina, S., Kording, K. P. (2012). Predicting scientific success. Nature 489(7415), 201–202.
3. Akella, A. P., Alhoori, H., Kondamudi, P. R., Freeman, C., & Zhou, H. (2021). Early indicators of scientific impact: Predicting citations with altmetrics. Journal of Informetrics, 15(2), 101128.
4. Bai, S., Kolter, J.Z., Koltun, V. (2018). An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:180301271
5. Bao, P., Zhai, C. (2017). Dynamic credit allocation in scientific literature. Scientometrics 112(1), 595–606.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献