Chun Wang

3.0k citations
192 papers · 1.9k indexed · h-index 25

Impact in

Papers in

Chun Wang

164 papers receiving 1.8k citations

Peers

Chun Wang
Comparison fields: 5 of 157
  • Management Science and Operations Research 886
  • Statistics and Probability 359
  • Experimental and Cognitive Psychology 310
  • Computer Networks and Communications 420
  • Computer Science Applications 79
Replace Alina A. von Davier with:
Alina A. von Davier United States
Dorothy T. Thayer United States
Sandip Sinharay United States
Ratna Nandakumar United States
Kikumi K. Tatsuoka United States
Thomas R. Willemain United States
Qing Yi China
Benjamin M. Marlin United States
Pascal Poupart Canada
Chun Wang relative to Alina A. von Davier United States Alina A. von Davier's profile →
Citations per field
00.5×
Alina A. von Davier · 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-authorship network

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
#Work
1 20251
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16 202017
17
Information Network Security Situation Awareness Technology Based on Artificial Intelligence
20190
18 201726
19
Intelligent Integrated Modeling and Synthetic Optimization for Blending Process in Lead-Zinc Sintering
20093
20
Centroid of nLie superalgebras
20061

About Chun Wang

Chun Wang is a scholar working on Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications, Artificial Intelligence and Computer Science Applications, having authored 192 papers that have together received 1.9k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (55 papers), Advanced Statistical Modeling Techniques (26 papers), Intelligent Tutoring Systems and Adaptive Learning (11 papers), Cognitive Abilities and Testing (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 (886 citations), Statistics and Probability (359 citations), Experimental and Cognitive Psychology (310 citations), Computer Networks and Communications (420 citations) and Computer Science Applications (79 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 Fereshteh Mafakheri. 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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