Kun Ding

1.3k citations
55 papers · 1k · h-index 16

Impact in

Papers in

Kun Ding

50 papers receiving 974 citations

Peers

Kun Ding
Comparison fields: 5 of 48
  • Renewable Energy, Sustainability and the Environment 618
  • Energy Engineering and Power Technology 38
  • Control and Systems Engineering 163
  • Industrial and Manufacturing Engineering 54
  • Electrical and Electronic Engineering 297
Replace Siva Rama Krishna Madeti with:
Siva Rama Krishna Madeti India
Sofiane Kichou Czechia
Mark Dales United Kingdom
Kamel Kara Algeria
Bruce Mehrdadi United Kingdom
Varaha Satya Bharath Kurukuru India
Adolfo J. Sánchez Spain
Syafaruddin Syafaruddin Indonesia
Marium Jalal Pakistan
Zhengxun Guo China
Kun Ding relative to Siva Rama Krishna Madeti India Siva Rama Krishna Madeti's profile →
Citations per field
00.5×2×3×3.9×
Siva Rama Krishna Madeti · 1×
Citations per year

Countries citing papers authored by Kun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Kun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012243
2 202182
3 201459
4 201855
5 202246
6 202242
7
Power Characteristics of Jiuquan Wind Power Base
201040
8 202138
9 202338
10 201335
11 202325
12 201924
13 202424
14 202320
15 202218
16 202317
17 201214
18 201914
19 201914
20 201513

About Kun Ding

Kun Ding is a scholar working on Renewable Energy, Sustainability and the Environment, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Energy Engineering and Power Technology, having authored 55 papers that have together received 1k indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (36 papers), Solar Radiation and Photovoltaics (8 papers), Machine Fault Diagnosis Techniques (4 papers), Microgrid Control and Optimization (3 papers), Perovskite Materials and Applications (3 papers), Power Systems and Renewable Energy (2 papers), Electric Power System Optimization (2 papers) and Advanced DC-DC Converters (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (618 citations), Energy Engineering and Power Technology (38 citations), Control and Systems Engineering (163 citations), Industrial and Manufacturing Engineering (54 citations) and Electrical and Electronic Engineering (297 citations). Kun Ding has collaborated with scholars based in China, Germany and Malaysia. Frequent co-authors include Jingwei Zhang, Jingwei Zhang, Yongjie Liu, Zenan Yang, Yuanliang Li, Xiang Chen, Meng Jiang, Thomas Reindl, Xihui Chen and Wenming Zheng. Their work appears in journals such as Solar Energy, Energy Conversion and Management, Energy, Applied Energy and IET Renewable Power Generation.

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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