Chongjun Wang

1.6k citations
127 papers · 910 · h-index 15

Impact in

    • Text and Document Classification Technologies
    • Advanced Text Analysis Techniques
    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Advanced Graph Neural Networks
    • Anomaly Detection Techniques and Applications
    • Domain Adaptation and Few-Shot Learning

Papers in

    • Text and Document Classification Technologies 24
    • Topic Modeling 13
    • Advanced Graph Neural Networks 13
    • Advanced Text Analysis Techniques 13
    • Domain Adaptation and Few-Shot Learning 12
    • Sentiment Analysis and Opinion Mining 11

Chongjun Wang

117 papers receiving 870 citations

Peers

Chongjun Wang
Comparison fields: 5 of 116
  • Artificial Intelligence 468
  • Signal Processing 110
  • Computer Vision and Pattern Recognition 141
  • Information Systems 152
  • Computer Networks and Communications 130
Replace Patricia Riddle with:
Patricia Riddle New Zealand
Yun Sing Koh New Zealand
Abdul Rauf Baig Pakistan
Tong Zhao China
Francesco Cauteruccio Italy
Xuchao Zhang United States
Chunxia Zhang China
William Eberle United States
Weiqing Liu China
Xun Zheng China
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Citations per field
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Patricia Riddle · 1×
Citations per year

Countries citing papers authored by Chongjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chongjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021153
2 202244
3 200832
4 201831
5 200731
6 202127
7 201726
8 201124
9 201723
10 202222
11 201921
12 202220
13 201620
14 202318
15 202215
16 202114
17 202314
18 200614
19 201314
20 200613

About Chongjun Wang

Chongjun Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 127 papers that have together received 910 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (24 papers), Complex Network Analysis Techniques (15 papers), Topic Modeling (13 papers), Advanced Graph Neural Networks (13 papers), Advanced Text Analysis Techniques (13 papers), Domain Adaptation and Few-Shot Learning (12 papers), Sentiment Analysis and Opinion Mining (11 papers) and Auction Theory and Applications (11 papers). The work is most often cited by research in Artificial Intelligence (468 citations), Signal Processing (110 citations), Computer Vision and Pattern Recognition (141 citations), Information Systems (152 citations) and Computer Networks and Communications (130 citations). Chongjun Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Junyuan Xie, Yuntao Du, Shifu Chen, Wenjie Feng, Jindong Wang, Sinno Jialin Pan, Tao Qin, Renjun Xu, Hengyang Lu and Yi Zhang. Their work appears in journals such as Neural Networks, Wireless Communications and Mobile Computing, Knowledge-Based Systems, Autonomous Agents and Multi-Agent Systems and Applied Intelligence.

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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