Yaping Dai

2.1k citations
176 papers · 1.5k · h-index 19

Impact in

Papers in

Yaping Dai

157 papers receiving 1.5k citations

Peers

Yaping Dai
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 502
  • Media Technology 201
  • Water Science and Technology 216
  • Experimental and Cognitive Psychology 164
  • Industrial and Manufacturing Engineering 98
Replace Abhishek Sharma with:
Abhishek Sharma India
Dongmei Fu China
Mei Han China
Dongqing Zhang China
Yilin Wang China
Zhifeng Li China
Ke Lin China
Yuhang Zhang China
Shenglan Liu China
Siqi Wang China
Yaping Dai relative to Abhishek Sharma India Abhishek Sharma's profile →
Citations per field
00.5×4.3×
Abhishek Sharma · 1×
Citations per year

Countries citing papers authored by Yaping Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001147
2 2011137
3 201298
4 202271
5 201164
6 202356
7 202144
8 201941
9 201336
10 201629
11 202127
12 201827
13 201727
14 201527
15 202226
16 202123
17 201722
18 202121
19 201419
20 201218

About Yaping Dai

Yaping Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 176 papers that have together received 1.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Adaptive Control of Nonlinear Systems (11 papers), Scheduling and Optimization Algorithms (10 papers), Advanced Measurement and Detection Methods (10 papers), Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (10 papers), Advanced Queuing Theory Analysis (9 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (502 citations), Media Technology (201 citations), Water Science and Technology (216 citations), Experimental and Cognitive Psychology (164 citations) and Industrial and Manufacturing Engineering (98 citations). Yaping Dai has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zhiyang Jia, Pingxiao Wu, Kaoru Hirota, Nengwu Zhu, Ping Li, Jinhua Wu, Zhi Dang, Kaoru Hirota, Junjie Ma and K. Hanasaki. Their work appears in journals such as Information Sciences, Remote Sensing, Knowledge-Based Systems, IEEE Transactions on Automation Science and Engineering and International Journal of Computational Intelligence Systems.

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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