Ye Gu

30 papers receiving 424 citations

Peers

Ye Gu
Comparison fields: 5 of 71
  • Human-Computer Interaction 69
  • Control and Systems Engineering 215
  • Computer Vision and Pattern Recognition 183
  • Industrial and Manufacturing Engineering 34
  • Artificial Intelligence 110
Replace Zackory Erickson with:
Zackory Erickson United States
Christopher Parlitz Germany
Michael Görner Germany
Anthony Remazeilles Spain
Daniel Sidobre France
Claudia Pérez-D’Arpino United States
Niklas Bergström Japan
Daniel Rakita United States
Daniel Leidner Germany
David Whitney United States
Ye Gu relative to Zackory Erickson United States Zackory Erickson's profile →
Citations per field
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Zackory Erickson · 1×
Citations per year

Countries citing papers authored by Ye Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201462
2 201260
3 201652
4 201151
5 201733
6 201933
7 201318
8 202218
9 201416
10 202212
11 202411
12 20189
13 20228
14 20157
15 20116
16 20136
17 20175
18 20145
19 20204
20 20184

About Ye Gu

Ye Gu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Human-Computer Interaction, having authored 33 papers that have together received 438 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Human Pose and Action Recognition (8 papers), Hand Gesture Recognition Systems (5 papers), Robotics and Sensor-Based Localization (5 papers), Anomaly Detection Techniques and Applications (3 papers), Gait Recognition and Analysis (3 papers), Video Surveillance and Tracking Methods (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (69 citations), Control and Systems Engineering (215 citations), Computer Vision and Pattern Recognition (183 citations), Industrial and Manufacturing Engineering (34 citations) and Artificial Intelligence (110 citations). Ye Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weihua Sheng, Yongsheng Ou, Ron Alterovitz, Christopher Crick, Xiaofeng Ye, Yongqiang Li, Chris Bowen, Meiqin Liu, Tingting Chen and Yan Yan. Their work appears in journals such as Arabian Journal for Science and Engineering, Frontiers in Pharmacology, Robotics and Autonomous Systems, Springer tracts in advanced robotics and IEEE Transactions on Automation Science and Engineering.

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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