Deqing Yang

629 citations
36 papers · 250 · h-index 9

Impact in

    • Topic Modeling
    • Advanced Graph Neural Networks
    • Natural Language Processing Techniques
    • Domain Adaptation and Few-Shot Learning
    • Recommender Systems and Techniques
    • Web Data Mining and Analysis

Papers in

    • Topic Modeling 19
    • Advanced Graph Neural Networks 14
    • Natural Language Processing Techniques 12
    • Advanced Text Analysis Techniques 4
    • Recommender Systems and Techniques 12
    • Expert finding and Q&A systems 2
    • Data Mining Algorithms and Applications 2

Deqing Yang

33 papers receiving 243 citations

Peers

Deqing Yang
Comparison fields: 5 of 42
  • Artificial Intelligence 186
  • Information Systems 124
  • Management Science and Operations Research 28
  • Computer Vision and Pattern Recognition 38
  • Statistical and Nonlinear Physics 16
Replace Lemei Zhang with:
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Sarik Ghazarian United States
Andreas Lommatzsch Germany
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Changsung Kang United States
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Deqing Yang relative to Lemei Zhang Norway Lemei Zhang's profile →
Citations per field
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Lemei Zhang · 1×
Citations per year

Countries citing papers authored by Deqing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Deqing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201838
2 202136
3 201523
4 201414
5 202213
6 201712
7 201811
8 201910
9 20199
10 20208
11 20228
12 20237
13 20226
14 20205
15 20155
16 20185
17 20235
18 20194
19 20224
20 20254

About Deqing Yang

Deqing Yang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 36 papers that have together received 250 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Advanced Graph Neural Networks (14 papers), Natural Language Processing Techniques (12 papers), Recommender Systems and Techniques (12 papers), Advanced Text Analysis Techniques (4 papers), Complex Network Analysis Techniques (4 papers), Expert finding and Q&A systems (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (186 citations), Information Systems (124 citations), Management Science and Operations Research (28 citations), Computer Vision and Pattern Recognition (38 citations) and Statistical and Nonlinear Physics (16 citations). Deqing Yang has collaborated with scholars based in China and United States. Frequent co-authors include Yanghua Xiao, Wei Wang, Jingjie Yi, Jingrui He, Shuyu Tian, Yangqiu Song, Ruoyu Liang, Wei Guo, Jingping Liu and Bo Xu. Their work appears in journals such as Knowledge and Information Systems, Kybernetes, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering and World Wide Web.

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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