Dunwei Wen

43 papers receiving 606 citations

Peers

Dunwei Wen
Comparison fields: 5 of 86
  • Computer Science Applications 98
  • Statistics, Probability and Uncertainty 113
  • Management Science and Operations Research 103
  • Artificial Intelligence 207
  • Safety, Risk, Reliability and Quality 50
Replace Jia Hao with:
Jia Hao China
Pablo Romero Uruguay
Nikica Hlupić Croatia
Kamran Shafi Australia
Grzegorz J. Nalepa Poland
Michael Roth Germany
A. William Evans United States
Meirav Taieb‐Maimon Israel
Jiabao Guo China
Dunwei Wen relative to Jia Hao China Jia Hao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dunwei Wen

Since Specialization
Citations

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

Fields of papers citing papers by Dunwei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011185
2 201448
3 201337
4 201936
5 201935
6 201835
7 201633
8 201424
9 201219
10 201518
11 201213
12 201612
13 202310
14 201710
15 201110
16 20128
17 20088
18 20087
19 20147
20 20107

About Dunwei Wen

Dunwei Wen is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications and Developmental and Educational Psychology, having authored 44 papers that have together received 632 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Semantic Web and Ontologies (6 papers), Advanced Text Analysis Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Innovative Teaching and Learning Methods (5 papers), Image Retrieval and Classification Techniques (5 papers), Online Learning and Analytics (5 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Computer Science Applications (98 citations), Statistics, Probability and Uncertainty (113 citations), Management Science and Operations Research (103 citations), Artificial Intelligence (207 citations) and Safety, Risk, Reliability and Quality (50 citations). Dunwei Wen has collaborated with scholars based in Canada, China and Taiwan. Frequent co-authors include Hong-Zhong Huang, Jianping Yang, Shun‐Peng Zhu, Kinshuk Kinshuk, Fuhua Lin, Nian‐Shing Chen, Erkki Sutinen, M. Ali Akber Dewan, Dragan Gašević and Alexander Whitelock‐Wainwright. Their work appears in journals such as Expert Systems with Applications, Computers & Education, The International Review of Research in Open and Distributed Learning, Educational Technology Research and Development and Applied Sciences.

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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