Ling Ding

37 papers receiving 400 citations

Peers

Ling Ding
Comparison fields: 5 of 63
  • Electronic, Optical and Magnetic Materials 119
  • Control and Systems Engineering 120
  • Polymers and Plastics 69
  • Electrical and Electronic Engineering 246
  • Process Chemistry and Technology 8
Replace Zhiyuan Yang with:
Zhiyuan Yang China
Zhe Xin China
Yi‐Feng Su United States
Željko V. Despotović Serbia
Tao Wen China
Chuanyang Li China
Chen Xue China
Wenjie Li China
Ling Ding relative to Zhiyuan Yang China Zhiyuan Yang's profile →
Citations per field
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Zhiyuan Yang · 1×
Citations per year

Countries citing papers authored by Ling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201953
2 201753
3 202345
4 201945
5 202339
6 202033
7 201226
8 201312
9 202411
10 202311
11 202310
12 20238
13 20247
14 20016
15 20135
16 20115
17 20114
18 20154
19 20233
20 20023

About Ling Ding

Ling Ding is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 41 papers that have together received 415 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (15 papers), Magnetic Bearings and Levitation Dynamics (8 papers), Magnetic Properties and Applications (6 papers), Wireless Communication Networks Research (6 papers), Advanced Wireless Network Optimization (5 papers), Conducting polymers and applications (4 papers), Advanced Wireless Communication Techniques (4 papers) and Induction Heating and Inverter Technology (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (119 citations), Control and Systems Engineering (120 citations), Polymers and Plastics (69 citations), Electrical and Electronic Engineering (246 citations) and Process Chemistry and Technology (8 citations). Ling Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guohai Liu, Qian Chen, Wenxiang Zhao, Gui‐Gen Wang, Jinghua Ji, Shan Jiang, Junqiang Zheng, Xiangzhong Li, Haichao Liang and J.S. Lehnert. Their work appears in journals such as IEEE Transactions on Energy Conversion, Nano Energy, IEEE Transactions on Vehicular Technology, Journal of Solid State Chemistry and International Journal of Wireless Information Networks.

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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