Kai Ding

508 citations
36 papers · 387 · h-index 9

Impact in

Papers in

Kai Ding

34 papers receiving 368 citations

Peers

Kai Ding
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 113
  • Aerospace Engineering 86
  • Software 14
  • Computational Theory and Mathematics 53
  • Control and Systems Engineering 73
Replace Melissa Greeff with:
Melissa Greeff Canada
Andrea Carron Switzerland
Khizer Mehmood Pakistan
A. H. Mazinan Iran
Somnath Deb United States
Georg Stettinger Austria
Qian Meng China
Zhongqin Bi China
Anirudha Majumdar United States
Kai Ding relative to Melissa Greeff Canada Melissa Greeff's profile →
Citations per field
00.5×
Melissa Greeff · 1×
Citations per year

Countries citing papers authored by Kai Ding

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 201966
3 202149
4 202334
5 201520
6 202114
7 202311
8 20179
9 20188
10 20067
11 20197
12 20166
13 20206
14 20236
15
Actuator Fault Diagnosis of Autonomous Underwater Vehicle Based on Wavelet Neural Network
20075
16 20255
17 20195
18 20245
19 20185
20 20205

About Kai Ding

Kai Ding is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 36 papers that have together received 387 indexed citations. Recurring topics across this work include Radiation Effects in Electronics (6 papers), UAV Applications and Optimization (5 papers), Software Reliability and Analysis Research (4 papers), Advanced Fiber Optic Sensors (3 papers), Multilevel Inverters and Converters (3 papers), Advanced Neural Network Applications (3 papers), Formal Methods in Verification (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Aerospace Engineering (86 citations), Software (14 citations), Computational Theory and Mathematics (53 citations) and Control and Systems Engineering (73 citations). Kai Ding has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Juan Yang, Ronggui Wang, Yongfu Li, Haoting Liu, Andrey Morozov, Klaus Janschek, Jianguo Zhang, Baoquan Jin, Xin Liu and Qing Bai. Their work appears in journals such as IEEE Access, Drones, Shock and Vibration, Neurocomputing and IEEE Transactions on Network 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.

Explore authors with similar magnitude of impact