Rongjun Ding

771 citations
47 papers · 551 · h-index 13

Impact in

Papers in

Rongjun Ding

42 papers receiving 546 citations

Peers

Rongjun Ding
Comparison fields: 5 of 55
  • Automotive Engineering 246
  • Control and Systems Engineering 264
  • Electrical and Electronic Engineering 190
  • Computer Vision and Pattern Recognition 56
  • Mechanical Engineering 93
Replace Siheon Jeong with:
Siheon Jeong South Korea
Yulin Ma China
Peicheng Shi China
Te Chen China
Chengning Zhang China
Hui Xie China
Mohammed E. Sayed United Kingdom
Huamin Jie Singapore
Rongjun Ding relative to Siheon Jeong South Korea Siheon Jeong's profile →
Citations per field
00.5×7.8×
Siheon Jeong · 1×
Citations per year

Countries citing papers authored by Rongjun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Rongjun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 202063
3 202254
4 201950
5 200848
6 202133
7 200829
8 201322
9 201517
10 200516
11 202215
12 202314
13 202313
14 202212
15 202210
16 202210
17 20238
18 20227
19 20185
20 20245

About Rongjun Ding

Rongjun Ding is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Mechanical Engineering and Automotive Engineering, having authored 47 papers that have together received 551 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (6 papers), Advanced DC-DC Converters (5 papers), Machine Fault Diagnosis Techniques (5 papers), Robotics and Sensor-Based Localization (5 papers), Silicon Carbide Semiconductor Technologies (5 papers), Vehicle Dynamics and Control Systems (4 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Automotive Engineering (246 citations), Control and Systems Engineering (264 citations), Electrical and Electronic Engineering (190 citations), Computer Vision and Pattern Recognition (56 citations) and Mechanical Engineering (93 citations). Rongjun Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingjia Cui, Bing Zhou, Xiaojian Wu, Chongfeng Wei, Qingsong Tang, Manjiang Hu, Kan Liu, Yougang Bian, Lihua Chen and Fang Z. Peng. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, IET Power Electronics, IEEE Robotics and Automation Letters and Vehicle System Dynamics.

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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