Ju Shen

1.6k citations
44 papers · 930 · 1 hit paper · h-index 11

Impact in

Papers in

Ju Shen

37 papers receiving 895 citations

Ju Shen's Hit Papers

Deep Learning-based Human Pose Estimation: A Survey 2023 · 302 citations
3020+1+2Years since publication100200300

Peers

Ju Shen
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 691
  • Human-Computer Interaction 172
  • Computer Graphics and Computer-Aided Design 30
  • Media Technology 53
  • Control and Systems Engineering 135
Replace Chunyu Wang with:
Chunyu Wang China
Subhashis Banerjee India
Katerina Fragkiadaki United States
Xi Peng United States
Taojiannan Yang United States
Mohammad Shafiei Iran
Sijie Zhu United States
Yujin Chen China
J. K. Aggarwal United States
Yuanlu Xu United States
Ju Shen relative to Chunyu Wang China Chunyu Wang's profile →
Citations per field
00.5×1.5×2.5×
Chunyu Wang · 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 44 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 →
2023302
2 2020186
3 2013104
4 199587
5 201837
6 201935
7 201333
8 202130
9 201313
10 201413
11 201313
12 20119
13 20159
14 20176
15
Virtual mirror by fusing multiple RGB-D cameras
20125
16 20195
17 20174
18 20124
19 20214
20 20183

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 44 papers that have together received 930 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Optical measurement and interference techniques (6 papers), Robotics and Sensor-Based Localization (6 papers), Human Pose and Action Recognition (5 papers), Computer Graphics and Visualization Techniques (4 papers), Mobile Ad Hoc Networks (4 papers), Human Motion and Animation (3 papers) and Voice and Speech Disorders (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (691 citations), Human-Computer Interaction (172 citations), Computer Graphics and Computer-Aided Design (30 citations), Media Technology (53 citations) and Control and Systems Engineering (135 citations). Ju Shen has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Sen-ching S. Cheung, Chen Chen, Taojiannan Yang, Ce Zheng, Sijie Zhu, Nasser Kehtarnavaz, Mubarak Shah, Vijayan K. Asari, He Wang and Ying Luo. Their work appears in journals such as International Journal of Computer Vision, Frontiers in Endocrinology, Sensors, Multimedia Tools and Applications and IEEE Transactions on Image Processing.

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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