A review of scientific impact prediction: tasks, features and methods

W Xia, T Li, C Li - Scientometrics, 2023 - Springer
With the rapid evolution of scientific research, there are a huge volume of papers published
every year and the number of scholars is also growing fast. How to effectively predict the …

Early indicators of scientific impact: Predicting citations with altmetrics

AP Akella, H Alhoori, PR Kondamudi, C Freeman… - Journal of …, 2021 - Elsevier
Identifying important scholarly literature at an early stage is vital to the academic research
community and other stakeholders such as technology companies and government bodies …

Prediction methods and applications in the science of science: A survey

J Hou, H Pan, T Guo, I Lee, X Kong, F Xia - Computer science review, 2019 - Elsevier
Science of science has become a popular topic that attracts great attentions from the
research community. The development of data analytics technologies and the readily …

A century of science: Globalization of scientific collaborations, citations, and innovations

Y Dong, H Ma, Z Shen, K Wang - Proceedings of the 23rd ACM SIGKDD …, 2017 - dl.acm.org
Progress in science has advanced the development of human society across history, with
dramatic revolutions shaped by information theory, genetic cloning, and artificial …

Standing on the shoulders of giants

T Amjad, Y Ding, J Xu, C Zhang, A Daud, J Tang… - Journal of …, 2017 - Elsevier
Young scholars in academia often seek to work in collaboration with top researchers in their
field in pursuit of a successful career. While success in academia can be defined differently …

Context-aware academic collaborator recommendation

Z Liu, X Xie, L Chen - Proceedings of the 24th ACM SIGKDD …, 2018 - dl.acm.org
Collaborator Recommendation is a useful application in exploiting big academic data.
However, existing works leave out the contextual restriction (ie, research topics) of people's …

Finding rising stars through hot topics detection

A Daud, F Abbas, T Amjad, AA Alshdadi… - Future Generation …, 2021 - Elsevier
Topic modeling methods have usually been applied in the past to identify the research
interests of researchers. Observing the scientific growth, the trending topics can be identified …

Toward online node classification on streaming networks

L Jian, J Li, H Liu - Data Mining and Knowledge Discovery, 2018 - Springer
The proliferation of networked data in various disciplines motivates a surge of research
interests on network or graph mining. Among them, node classification is a typical learning …

The gene of scientific success

X Kong, J Zhang, D Zhang, Y Bu, Y Ding… - ACM Transactions on …, 2020 - dl.acm.org
This article elaborates how to identify and evaluate causal factors to improve scientific
impact. Currently, analyzing scientific impact can be beneficial to various academic activities …

CSTeller: Forecasting scientific collaboration sustainability based on extreme gradient boosting

W Wang, B Xu, J Liu, Z Cui, S Yu, X Kong, F Xia - World Wide Web, 2019 - Springer
The mechanism why two strange scholars become collaborators has been extensively
studied from the perspective of social network analysis. In academia, two scholars may …