Jingang Shi

2.1k citations
59 papers · 1.2k indexed · 1 hit paper · h-index 19
Topics
Advanced Image Processing Techniques (12 papers)Image and Signal Denoising Methods (10 papers)Human Pose and Action Recognition (9 papers)
Partner nations
ChinaFinlandSingapore

In The Last Decade

Jingang Shi

54 papers receiving 1.2k citations

Hit Papers

PhysFormer: Facial Video-based Physiological Measurement ...202220262023202420224080120

Peers

Jingang Shi
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 588
  • Biomedical Engineering 489
  • Cardiology and Cardiovascular Medicine 324
  • Artificial Intelligence 234
  • Signal Processing 176
Replace Noureddine Ellouze with:
Noureddine Ellouze Tunisia
Wai-Chi Fang Taiwan
Mihir Narayan Mohanty India
Kimiaki Shirahama Germany
Hoda Mohammadzade Iran
Allam Jaya Prakash India
Lakhan Dev Sharma India
Yung‐Hui Li Taiwan
J. S. Sahambi India
K. Vasanth India
Jingang Shi relative to Noureddine Ellouze Tunisia Noureddine Ellouze's profile →
Citations per field
00.5×10×15×19.9×
Noureddine Ellouze · 1×
Citations per year

Countries citing papers authored by Jingang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jingang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jingang Shi. A scholar is included among the top collaborators of Jingang Shi 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 Jingang Shi. Jingang Shi 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 4
2 1
3 1
4 9
5 2
6 8
7 1
8 43
9 1
10 2
11 31
12 74
13
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformerbreakdown →
142
14 52
15 76
16
AutoHR:a strong end-to-end baseline for remote heart rate measurement with neural searching
97
17 7
18 23
19 46
20 73

About Jingang Shi

Jingang Shi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (12 papers), Image and Signal Denoising Methods (10 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (588 citations), Signal Processing (176 citations) and Human-Computer Interaction (83 citations). Jingang Shi has collaborated with scholars based in China, Finland and Singapore. Frequent co-authors include Guoying Zhao, Zitong Yu, Xiaobai Li, Chun Qi, Wei Peng, Yuan Zong, Yuming Shen, Philip H. S. Torr, Hengshuang Zhao and Wenming Zheng. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors and Actuators B Chemical.

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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