Quantifying scientific collaboration impact by exploiting collaboration-citation network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Quantifying scientific collaboration impact by exploiting collaboration-citation network

Published:2021-06-30 Issue:9 Volume:126 Page:7993-8008
ISSN:0138-9130
Container-title:Scientometrics
language:en
Short-container-title:Scientometrics

Author:

Bai Xiaomei^ORCID,Zhang Fuli,Li Jinzhou,Xu Zhong,Patoli Zeeshan,Lee Ivan

Funder

Liaoning Provincial Key R&D Guidance Project

Liaoning Province Innovative Talent Project

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11192-021-04078-8.pdf

Reference49 articles.

1. AlShebli, B. K., Rahwan, T., & Woon, W. L. (2018). The preeminence of ethnic diversity in scientific collaboration. Nature Communications, 9(1), 1–10.

2. Bai, X., Zhang, F., Hou, J., Lee, I., Kong, X., Tolba, A., et al. (2018). Quantifying the impact of scholarly papers based on higher-order weighted citations. PloS ONE, 13(3), e0193192.

3. Bai, X., Zhang, F., Hou, J., Xia, F., Tolba, A., & Elashkar, E. (2017). Implicit multi-feature learning for dynamic time series prediction of the impact of institutions. IEEE Access, 5, 16372–16382.

4. Bai, X., Zhang, F., & Lee, I. (2019). Predicting the citations of scholarly paper. Journal of Informetrics, 13(1), 407–418.

5. Bai, X., Zhang, F., Ni, J., Shi, L., & Lee, I. (2020). Measure the impact of institution and paper via institution-citation network. IEEE Access, 8, 17548–17555.

Cited by 9 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

1. Collaboration-based scientific productivity: evidence from Nobel laureates;Scientometrics;2024-06-15

2. Dynamic bipartite network model based on structure and preference features;Knowledge and Information Systems;2024-04-06

3. The Nobel family;Scientometrics;2024-01-23

4. Predicting annus mirabilis with machine learning: Turkish movie industry;Multimedia Tools and Applications;2023-07-23

5. Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks;Journal of Informetrics;2023-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3