Weining Wang

433 citations
30 papers · 240 · h-index 9

Impact in

Papers in

    • Generative Adversarial Networks and Image Synthesis 7
    • Video Analysis and Summarization 7
    • Human Pose and Action Recognition 5
    • Face recognition and analysis 5
    • Multimodal Machine Learning Applications 4
    • Video Surveillance and Tracking Methods 3
    • Image Enhancement Techniques 2
    • Music and Audio Processing 3

Weining Wang

24 papers receiving 236 citations

Peers

Weining Wang
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 169
  • Human-Computer Interaction 12
  • Signal Processing 18
  • Artificial Intelligence 39
  • Biomedical Engineering 44
Replace Duy-Linh Nguyen with:
Duy-Linh Nguyen South Korea
Ninghang Hu Netherlands
Ce Gao China
Hao Shao China
Purnawarman Musa Indonesia
Alexandros Stergiou Netherlands
Feiyu Chen China
Bayan Alabdullah Saudi Arabia
Iván Huerta Spain
Wenxuan Zhang China
Weining Wang relative to Duy-Linh Nguyen South Korea Duy-Linh Nguyen's profile →
Citations per field
00.5×3.7×
Duy-Linh Nguyen · 1×
Citations per year

Countries citing papers authored by Weining Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weining Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202148
2 202242
3 202128
4 202116
5 202415
6 202412
7 202410
8 20219
9 20238
10 20227
11 20236
12 20216
13 20235
14 20235
15 20214
16 20214
17 20083
18 20253
19 20253
20 20222

About Weining Wang

Weining Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Biomedical Engineering and Rehabilitation, having authored 30 papers that have together received 240 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (7 papers), Video Analysis and Summarization (7 papers), Human Pose and Action Recognition (5 papers), Face recognition and analysis (5 papers), Multimodal Machine Learning Applications (4 papers), Music and Audio Processing (3 papers), Video Surveillance and Tracking Methods (3 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Human-Computer Interaction (12 citations), Signal Processing (18 citations), Artificial Intelligence (39 citations) and Biomedical Engineering (44 citations). Weining Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jing Liu, Hao Wang, Liang Wang, Yongzhen Huang, Qi Li, Chunfeng Song, Zhenan Sun, Jian Zhao, Xinxin Zhu and Chunjie Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, Pattern Recognition, Economic Modelling and International Journal of Computer Vision.

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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