Yu Ding

1.4k citations
54 papers · 753 · h-index 13

Impact in

Papers in

Yu Ding

50 papers receiving 723 citations

Peers

Yu Ding
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 483
  • Signal Processing 186
  • Experimental and Cognitive Psychology 201
  • Human-Computer Interaction 61
  • Artificial Intelligence 159
Replace Çiğdem Eroğlu Erdem with:
Çiğdem Eroğlu Erdem Türkiye
Masahide Kaneko Japan
Kishore Konda Germany
Zhimeng Zhang China
Tony Ezzat United States
Zenghai Chen Hong Kong
P. Kakumanu United States
Gustav Eje Henter Sweden
Cheng Lu China
Petar Aleksic United States
Yu Ding relative to Çiğdem Eroğlu Erdem Türkiye Çiğdem Eroğlu Erdem's profile →
Citations per field
00.5×4.6×
Çiğdem Eroğlu Erdem · 1×
Citations per year

Countries citing papers authored by Yu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021171
2 202187
3 202274
4 202250
5 202149
6 202142
7 202226
8 202119
9 202217
10 201715
11 201414
12 202313
13 202013
14 201710
15 20219
16 20159
17 20239
18 20229
19 20239
20 20238

About Yu Ding

Yu Ding is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Experimental and Cognitive Psychology, Artificial Intelligence and Social Psychology, having authored 54 papers that have together received 753 indexed citations. Recurring topics across this work include Face recognition and analysis (20 papers), Human Motion and Animation (15 papers), Emotion and Mood Recognition (10 papers), Human Pose and Action Recognition (10 papers), Generative Adversarial Networks and Image Synthesis (10 papers), Speech and Audio Processing (7 papers), Social Robot Interaction and HRI (6 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (483 citations), Signal Processing (186 citations), Experimental and Cognitive Psychology (201 citations), Human-Computer Interaction (61 citations) and Artificial Intelligence (159 citations). Yu Ding has collaborated with scholars based in China, United States and France. Frequent co-authors include Changjie Fan, Lincheng Li, Zhimeng Zhang, Suzhen Wang, Xin Yu, Jiajia Tang, Wanzeng Kong, Wei Zhang, Hao Zeng and Keyu Chen. Their work appears in journals such as IEEE Transactions on Affective Computing, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Circuits and Systems for Video Technology, Electronics and IEEE Transactions on Multimedia.

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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