Ju Shen

1.5k citations
39 papers · 800 · 1 hit paper · h-index 11

Impact in

Papers in

Ju Shen

31 papers receiving 764 citations

Ju Shen's Hit Papers

Deep Learning-based Human Pose Estimation: A Survey 2023 · 250 citations
2500+1+2Years since publication50100150200250

Peers

Ju Shen
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 605
  • Human-Computer Interaction 147
  • Computer Graphics and Computer-Aided Design 27
  • Media Technology 47
  • Geology 28
Replace Subhashis Banerjee with:
Subhashis Banerjee India
Hedi Tabia France
J. K. Aggarwal United States
Xi Peng United States
Wei Mao China
Shohei Nobuhara Japan
Sijie Zhu United States
Chunyu Wang China
Minghao Gou China
Anton Konushin Russia
Ju Shen relative to Subhashis Banerjee India Subhashis Banerjee's profile →
Citations per field
00.5×7.6×
Subhashis Banerjee · 1×
Citations per year

Countries citing papers authored by Ju Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ju Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning-based Human Pose Estimation: A Survey
Hit paper breakdown →
2023250
2 2020166
3 201393
4 199569
5 201834
6 201932
7 201330
8 202128
9 201413
10 201311
11 201311
12 20159
13 20118
14
Virtual mirror by fusing multiple RGB-D cameras
20125
15 20175
16 20195
17 20124
18 20174
19 20193
20 20173

About Ju Shen

Ju Shen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 39 papers that have together received 800 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Optical measurement and interference techniques (6 papers), Robotics and Sensor-Based Localization (6 papers), Human Pose and Action Recognition (4 papers), Computer Graphics and Visualization Techniques (4 papers), Mobile Ad Hoc Networks (3 papers), Video Surveillance and Tracking Methods (3 papers) and Voice and Speech Disorders (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (605 citations), Human-Computer Interaction (147 citations), Computer Graphics and Computer-Aided Design (27 citations), Media Technology (47 citations) and Geology (28 citations). Ju Shen has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Sen-ching S. Cheung, Chen Chen, Vijayan K. Asari, Taojiannan Yang, Sijie Zhu, Mubarak Shah, Ce Zheng, Nasser Kehtarnavaz, He Wang and Ying Luo. Their work appears in journals such as Information Sciences, IEEE Transactions on Image Processing, Machine Vision and Applications, Frontiers in Endocrinology and Computer Graphics Forum.

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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