Can Ding
Impact in
- Control and Systems Engineering top 10%
- Power Systems Fault Detection
Papers in
-
- HVDC Systems and Fault Protection 14
- Electrical Fault Detection and Protection 10
- Power Transformer Diagnostics and Insulation 10
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- Power Systems Fault Detection 9
- Co-authors
- Zhao Yuan (16 shared papers)Zhe Zhang (13 shared papers)Jing Zhang (12 shared papers)Kaiming Li (3 shared papers)Bo Tang (7 shared papers)Yuan Zhao (1 shared paper)Junjia He (4 shared papers)Shengtao Li (3 shared papers)
In The Last Decade
Can Ding
74 papers receiving 377 citations
Peers
Comparison fields: 5 of 74
- Control and Systems Engineering 124
- Energy Engineering and Power Technology 13
- Modeling and Simulation 18
- Electrical and Electronic Engineering 214
- Mechanical Engineering 73
Countries citing papers authored by Can Ding
This map shows the geographic impact of Can 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 Can Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Ding more than expected).
Fields of papers citing papers by Can Ding
This network shows the impact of papers produced by Can 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 Can Ding. The network helps show where Can Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 28 | |
| 2 | 2022 | 27 | |
| 3 | 1998 | 23 | |
| 4 | 2022 | 19 | |
| 5 | 2013 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2012 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 7 |
About Can Ding
Can Ding is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 92 papers that have together received 394 indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (14 papers), Vacuum and Plasma Arcs (14 papers), High voltage insulation and dielectric phenomena (11 papers), Electrical Fault Detection and Protection (10 papers), Power Transformer Diagnostics and Insulation (10 papers), Magnetic Properties and Applications (10 papers), Power Systems Fault Detection (9 papers) and Non-Destructive Testing Techniques (8 papers). The work is most often cited by research in Control and Systems Engineering (124 citations), Energy Engineering and Power Technology (13 citations), Modeling and Simulation (18 citations), Electrical and Electronic Engineering (214 citations) and Mechanical Engineering (73 citations). Can Ding has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Zhao Yuan, Zhe Zhang, Jing Zhang, Kaiming Li, Bo Tang, Yuan Zhao, Junjia He, Shengtao Li, Feng Liu and Fanyong Cheng. Their work appears in journals such as Energies, AIP Advances, IEEE Access, Energy Reports and Advances in Condensed Matter Physics.
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.