Jinjia Peng

1.4k citations
54 papers · 902 · h-index 17

Impact in

Papers in

    • Video Surveillance and Tracking Methods 34
    • Advanced Neural Network Applications 15
    • Advanced Image and Video Retrieval Techniques 9
    • Face and Expression Recognition 8
    • Human Pose and Action Recognition 7
    • Generative Adversarial Networks and Image Synthesis 6
    • Face recognition and analysis 6

Jinjia Peng

50 papers receiving 894 citations

Peers

Jinjia Peng
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 723
  • Computational Mathematics 20
  • Media Technology 155
  • Human-Computer Interaction 62
  • Artificial Intelligence 178
Replace Yang Wu with:
Yang Wu China
Andrews Sobral France
Yongsheng Dong China
Huchuan Lu China
Benjamin Höferlin Germany
Ben Benfold United Kingdom
Michael D. Breitenstein Switzerland
Asra Aslam Ireland
Jinjia Peng relative to Yang Wu China Yang Wu's profile →
Citations per field
00.5×1.5×2.4×
Yang Wu · 1×
Citations per year

Countries citing papers authored by Jinjia Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jinjia Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202281
2 202281
3 202076
4 202276
5 202068
6 202055
7 202150
8 202340
9 201936
10 201929
11 202029
12 201726
13 202022
14 202122
15 201820
16 201917
17 202116
18 202013
19 201910
20 20239

About Jinjia Peng

Jinjia Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering and Human-Computer Interaction, having authored 54 papers that have together received 902 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (34 papers), Advanced Neural Network Applications (15 papers), Advanced Image and Video Retrieval Techniques (9 papers), Face and Expression Recognition (8 papers), Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (723 citations), Computational Mathematics (20 citations), Media Technology (155 citations), Human-Computer Interaction (62 citations) and Artificial Intelligence (178 citations). Jinjia Peng has collaborated with scholars based in China. Frequent co-authors include Huibing Wang, Xianping Fu, Guangqi Jiang, Tongtong Zhao, Zetian Mi, Meng Wang, Yan Wang, Dongyan Chen, Ruoxi Deng and Yafei Wang. Their work appears in journals such as Neurocomputing, Engineering Applications of Artificial Intelligence, Knowledge-Based Systems, Multimedia Tools and Applications and Neural Computing and Applications.

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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