Chenwei Tang

627 citations
39 papers · 356 · h-index 11

Impact in

Papers in

    • Advanced Neural Network Applications 8
    • Generative Adversarial Networks and Image Synthesis 8
    • Advanced Image and Video Retrieval Techniques 5
    • Image Retrieval and Classification Techniques 4
    • Domain Adaptation and Few-Shot Learning 6
    • Neural Networks and Applications 3

Chenwei Tang

33 papers receiving 349 citations

Peers

Chenwei Tang
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 162
  • Computer Graphics and Computer-Aided Design 20
  • Computational Mathematics 3
  • Artificial Intelligence 111
  • Radiology, Nuclear Medicine and Imaging 37
Replace Stavros Tsogkas with:
Stavros Tsogkas Canada
Laura Caponetti Italy
Toshikazu Wada Japan
P. Paalanen Finland
Yonggen Ling China
Wenju Xu United States
L.V. Tsap United States
Abdullah Bade Malaysia
Quan Wang China
Zizhao Wu China
Chenwei Tang relative to Stavros Tsogkas Canada Stavros Tsogkas's profile →
Citations per field
00.5×4.7×
Stavros Tsogkas · 1×
Citations per year

Countries citing papers authored by Chenwei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chenwei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201739
2 202232
3 202131
4 202226
5 202126
6 202221
7 202321
8 202320
9 202017
10 202312
11 201910
12 20258
13 20208
14 20188
15 20248
16 20247
17 20196
18 20216
19 20186
20 20246

About Chenwei Tang

Chenwei Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Control and Systems Engineering and Media Technology, having authored 39 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Neural Networks and Applications (3 papers), Industrial Vision Systems and Defect Detection (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Computer Graphics and Computer-Aided Design (20 citations), Computational Mathematics (3 citations), Artificial Intelligence (111 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Chenwei Tang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jiancheng Lv, Zhenan He, Junyu Luo, Yunxia Li, Caiyang Yu, Hongjie Wu, Shudong Huang, Wentao Feng, Jian Wang and Yancheng Zhang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Big Data Mining and Analytics, Knowledge-Based Systems and Pattern Recognition.

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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