Wenjun Ma

56 papers receiving 1.0k citations

Wenjun Ma's Hit Papers

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence 2014 · 386 citations
3860+4+8Years since publication100200300

Peers

Wenjun Ma
Comparison fields: 5 of 131
  • Computational Mathematics 8
  • Artificial Intelligence 365
  • General Decision Sciences 20
  • Management Science and Operations Research 118
  • Computer Vision and Pattern Recognition 155
Replace Paul Dagum with:
Paul Dagum United States
Zhaoran Wang United States
Stig Kjær Andersen Denmark
Ming Hou Canada
Samantha Kleinberg United States
Pengfei Liu China
Karen M. Feigh United States
Agapito Ledezma Spain
Mu Zhu Canada
Seyed Reza Shahamiri New Zealand
Wenjun Ma relative to Paul Dagum United States Paul Dagum's profile →
Citations per field
00.5×4.1×
Paul Dagum · 1×
Citations per year

Countries citing papers authored by Wenjun Ma

Since Specialization
Citations

This map shows the geographic impact of Wenjun Ma'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 Wenjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Ma more than expected).

Fields of papers citing papers by Wenjun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenjun Ma. 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 Wenjun Ma. The network helps show where Wenjun Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Wenjun Ma, 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 Wenjun Ma Line = papers co-authored together Wenjun Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence
Hit paper breakdown →
2014386
2 200595
3 202044
4 201938
5 201233
6 201331
7 201730
8 202326
9 202224
10 202423
11 202223
12 202220
13 202318
14 201717
15 202215
16 201715
17 202213
18 202313
19 201611
20 202010

About Wenjun Ma

Wenjun Ma is a scholar working on Artificial Intelligence, Physiology, Management Science and Operations Research, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (12 papers), Sleep and Work-Related Fatigue (8 papers), EEG and Brain-Computer Interfaces (6 papers), Topic Modeling (5 papers), Multi-Criteria Decision Making (5 papers), Advanced Graph Neural Networks (5 papers), Bayesian Modeling and Causal Inference (5 papers) and Game Theory and Applications (4 papers). The work is most often cited by research in Computational Mathematics (8 citations), Artificial Intelligence (365 citations), General Decision Sciences (20 citations), Management Science and Operations Research (118 citations) and Computer Vision and Pattern Recognition (155 citations). Wenjun Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xudong Luo, Weiru Liu, Yuncheng Jiang, Xiaomao Fan, Yanping Li, Jin Wu, Xiaoqi Hu, Guansheng Ma, Xianhui Chen and Yujie Li. Their work appears in journals such as International Journal of Intelligent Systems, IEEE Journal of Biomedical and Health Informatics, Expert Systems with Applications, BMC Medical Informatics and Decision Making and American Journal of Hypertension.

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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