Chun Wang

3.1k citations
198 papers · 2.1k · h-index 26

Impact in

Papers in

Chun Wang

177 papers receiving 2.0k citations

Peers

Chun Wang
Comparison fields: 5 of 157
  • Management Science and Operations Research 934
  • Statistics and Probability 370
  • Experimental and Cognitive Psychology 315
  • Computer Networks and Communications 448
  • Computer Science Applications 88
Replace Dorothy T. Thayer with:
Dorothy T. Thayer United States
Ratna Nandakumar United States
Martine De Cock Belgium
Christophe Giraud-Carrier United States
Zhaoran Wang United States
Pascal Poupart Canada
Wolfgang Aigner Austria
Slim Abdennadher Egypt
K. Robert Lai Taiwan
Robert Kosara United States
Chun Wang relative to Dorothy T. Thayer United States Dorothy T. Thayer's profile →
Citations per field
00.5×11.5×
Dorothy T. Thayer · 1×
Citations per year

Countries citing papers authored by Chun Wang

Since Specialization
Citations

This map shows the geographic impact of Chun Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Wang more than expected).

Fields of papers citing papers by Chun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chun Wang. The network helps show where Chun Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chun Wang Line = papers co-authored together Chun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015146
2 2016138
3 201660
4 201159
5 201258
6 201353
7 201252
8 201849
9 201249
10 201048
11 201148
12 200645
13 201245
14 201343
15 200242
16 201839
17 201436
18 201133
19 201832
20 201931

About Chun Wang

Chun Wang is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Statistics and Probability and Control and Systems Engineering, having authored 198 papers that have together received 2.1k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (55 papers), Advanced Statistical Modeling Techniques (26 papers), Cognitive Abilities and Testing (12 papers), Intelligent Tutoring Systems and Adaptive Learning (11 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (8 papers), Auction Theory and Applications (8 papers) and Traffic Prediction and Management Techniques (7 papers). The work is most often cited by research in Management Science and Operations Research (934 citations), Statistics and Probability (370 citations), Experimental and Cognitive Psychology (315 citations), Computer Networks and Communications (448 citations) and Computer Science Applications (88 citations). Chun Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Gongjun Xu, David J. Weiss, Hua-Hua Chang, Shengyu Jiang, Jeffrey A. Douglas, Ping Chen, Hua‐Hua Chang, Keith A. Boughton, Mahya Seyedan and Alan Huebner. Their work appears in journals such as Psychometrika, Applied Psychological Measurement, British Journal of Mathematical and Statistical Psychology, Archives of Physical Medicine and Rehabilitation and Multivariate Behavioral Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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