Ye Gu

27 papers receiving 326 citations

Peers

Ye Gu
Comparison fields: 5 of 66
  • Human-Computer Interaction 56
  • Computer Vision and Pattern Recognition 144
  • Control and Systems Engineering 150
  • Hepatology 21
  • Industrial and Manufacturing Engineering 25
Replace Michael Görner with:
Michael Görner Germany
Claudia Pérez-D’Arpino United States
Niklas Bergström Japan
R. Zöllner Germany
Mila Popović Denmark
Ariel Kapusta United States
Ingo Kresse Germany
R. Dillmann Germany
Melonee Wise United States
Dov Katz United States
Ye Gu relative to Michael Görner Germany Michael Görner's profile →
Citations per field
00.5×4.6×
Michael Görner · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201455
2 201251
3 201142
4 201731
5 201930
6 202218
7 201316
8 201414
9 202211
10 20228
11 20187
12 20157
13 20246
14 20136
15 20175
16 20145
17 20114
18 20184
19 20203
20 20203

About Ye Gu

Ye Gu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Human-Computer Interaction, having authored 31 papers that have together received 337 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Human Pose and Action Recognition (8 papers), Robotics and Sensor-Based Localization (5 papers), Hand Gesture Recognition Systems (5 papers), Gait Recognition and Analysis (3 papers), Video Surveillance and Tracking Methods (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Human-Computer Interaction (56 citations), Computer Vision and Pattern Recognition (144 citations), Control and Systems Engineering (150 citations), Hepatology (21 citations) and Industrial and Manufacturing Engineering (25 citations). Ye Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weihua Sheng, Yongsheng Ou, Xiaofeng Ye, Christopher Crick, Yongqiang Li, Chris Bowen, Ron Alterovitz, Meiqin Liu, Tingting Chen and Fei Wang. Their work appears in journals such as Arabian Journal for Science and Engineering, Robotics and Autonomous Systems, IEEE Transactions on Automation Science and Engineering, Image and Vision Computing and IEEE Transactions on Cybernetics.

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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