Qin Jin

5.0k citations
112 papers · 2.3k · h-index 24

Impact in

    • Multimodal Machine Learning Applications
    • Human Pose and Action Recognition
    • Video Analysis and Summarization
    • Advanced Image and Video Retrieval Techniques
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

Qin Jin

107 papers receiving 2.2k citations

Peers

Qin Jin
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 1.2k
  • Signal Processing 596
  • Experimental and Cognitive Psychology 648
  • Artificial Intelligence 1.1k
  • Human-Computer Interaction 42
Replace AmirAli Bagher Zadeh with:
AmirAli Bagher Zadeh United States
Zheng Lian China
Shizhe Chen China
Inma Hernáez Spain
Sakriani Sakti Japan
Ya Li China
Houwei Cao United States
Yu Wu China
Thomas Hain United Kingdom
Koichi Shinoda Japan
Qin Jin relative to AmirAli Bagher Zadeh United States AmirAli Bagher Zadeh's profile →
Citations per field
00.5×10×20×33×
AmirAli Bagher Zadeh · 1×
Citations per year

Countries citing papers authored by Qin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Qin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020223
2 2020172
3 2021167
4 2015120
5 2021111
6 201795
7 202376
8 201572
9 201667
10 201650
11 202045
12 201744
13 200444
14 201242
15 201938
16 200836
17 202235
18 201831
19 202031
20 200730

About Qin Jin

Qin Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology and Language and Linguistics, having authored 112 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (45 papers), Video Analysis and Summarization (28 papers), Speech and Audio Processing (26 papers), Music and Audio Processing (25 papers), Emotion and Mood Recognition (24 papers), Advanced Image and Video Retrieval Techniques (23 papers), Human Pose and Action Recognition (21 papers) and Speech Recognition and Synthesis (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Signal Processing (596 citations), Experimental and Cognitive Psychology (648 citations), Artificial Intelligence (1.1k citations) and Human-Computer Interaction (42 citations). Qin Jin has collaborated with scholars based in China, United States and France. Frequent co-authors include Shizhe Chen, Jinming Zhao, Qi Wu, Yida Zhao, Ruichen Li, Tanja Schultz, Peng Wang, Jingwen Hu, Alexander G. Hauptmann and Jia Chen. Their work appears in journals such as IEEE Transactions on Multimedia, ACM Transactions on Information Systems, Neurocomputing, ACM Transactions on Multimedia Computing Communications and Applications and Pakistan Journal of Medical Sciences.

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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