Kai Ding

511 citations
40 papers · 357 · h-index 8

Impact in

Papers in

Kai Ding

38 papers receiving 338 citations

Peers

Kai Ding
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 106
  • Aerospace Engineering 90
  • Artificial Intelligence 99
  • Control and Systems Engineering 70
  • Computational Theory and Mathematics 46
Replace Vasileios Tzoumas with:
Vasileios Tzoumas United States
Xiaolin Dai China
Kranthi Kumar Deveerasetty China
Hongyan Wang China
A. H. Mazinan Iran
Boaz Ben‐Moshe Israel
Claus Danielson United States
Zhuoran Zhang China
Hadi Nobahari Iran
Kai Ding relative to Vasileios Tzoumas United States Vasileios Tzoumas's profile →
Citations per field
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Vasileios Tzoumas · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 201961
3 202146
4 202330
5 201519
6 202114
7 202310
8 20188
9 20067
10 20176
11 20236
12 20166
13
Actuator Fault Diagnosis of Autonomous Underwater Vehicle Based on Wavelet Neural Network
20075
14 20205
15 20205
16 20195
17 20195
18 20204
19 20194
20 20064

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 40 papers that have together received 357 indexed citations. Recurring topics across this work include UAV Applications and Optimization (5 papers), Radiation Effects in Electronics (4 papers), Radar Systems and Signal Processing (3 papers), Robotic Path Planning Algorithms (3 papers), Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (3 papers), Multilevel Inverters and Converters (3 papers) and Advanced Fiber Optic Sensors (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Aerospace Engineering (90 citations), Artificial Intelligence (99 citations), Control and Systems Engineering (70 citations) and Computational Theory and Mathematics (46 citations). Kai Ding has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Ronggui Wang, Juan Yang, Yongfu Li, Haoting Liu, Baoquan Jin, Xin Liu, Pengfei Wang, Qing Bai, Dong Wang and Jianguo Zhang. Their work appears in journals such as IEEE Access, Shock and Vibration, Drones, Neurocomputing and Electronics.

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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