Sheng Jin

1.3k citations
23 papers · 478 indexed · h-index 13
Topics
Human Pose and Action Recognition (9 papers)Video Surveillance and Tracking Methods (7 papers)Advanced Image and Video Retrieval Techniques (3 papers)
Partner nations
ChinaHong KongAustralia

In The Last Decade

Sheng Jin

23 papers receiving 467 citations

Peers

Sheng Jin
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 286
  • Artificial Intelligence 134
  • Biomedical Engineering 60
  • Signal Processing 41
  • Dermatology 40
Replace Yunfan Liu with:
Yunfan Liu China
Begoña Acha Spain
Manal Abdel Wahed Egypt
Boqiang Liu China
Alauddin Bhuiyan Australia
Pengcheng Xi Canada
Ibrahim Abdulrab Ahmed Saudi Arabia
João C. Neves Portugal
Moez Baccouche France
Yiren Zhou China
Sheng Jin relative to Yunfan Liu China Yunfan Liu's profile →
Citations per field
00.5×1.5×2.2×
Yunfan Liu · 1×
Citations per year

Countries citing papers authored by Sheng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Jin. A scholar is included among the top collaborators of Sheng Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheng Jin. Sheng Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 5
4 19
5 35
6 32
7 39
8
When Counterpoint Meets Chinese Folk Melodies
3
9 19
10 3
11 27
12 3
13 55
14 12
15 11
16
Connectionist Temporal Classification with Maximum Entropy Regularization
25
17 42
18 12
19
Acute toxicity of dipfluzine and its effects on isolated vascular smooth muscle.
2
20 3

About Sheng Jin

Sheng Jin is a scholar working on Computer Vision and Pattern Recognition, Music and Toxicology, having authored 23 papers that have together received 478 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (286 citations), Human-Computer Interaction (40 citations) and Dermatology (40 citations). Sheng Jin has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Wentao Liu, Chen Qian, Wanli Ouyang, Changshui Zhang, Ping Luo, Xiaogang Wang, Kun Hwang, Jiang Lu, Nan Jiang and Jian Liang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

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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