Kun Ding

1.4k citations
74 papers · 1.0k indexed · h-index 17

Impact in

Papers in

Kun Ding

64 papers receiving 964 citations

Peers

Kun Ding
Comparison fields: 5 of 62
  • Renewable Energy, Sustainability and the Environment 654
  • Energy Engineering and Power Technology 70
  • Artificial Intelligence 442
  • Electrical and Electronic Engineering 574
  • Control and Systems Engineering 216
Replace Siva Ramakrishna Madeti with:
Siva Ramakrishna Madeti India
Mahmoud Dhimish United Kingdom
Mohammed Ali Khan India
Mark Dales United Kingdom
Kuei‐Hsiang Chao Taiwan
Bruce Mehrdadi United Kingdom
Azhar Ul-Haq Pakistan
Varaha Satya Bharath Kurukuru India
Dhanup S. Pillai India
Mohamed A. Tolba Egypt
Kun Ding relative to Siva Ramakrishna Madeti India Siva Ramakrishna Madeti's profile →
Citations per field
00.5×
Siva Ramakrishna 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-authorship network

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
#Work
1 20251
2 20250
3 20250
4 20244
5 20242
6 20240
7 20242
8 20246
9 20240
10 202323
11 202313
12 20234
13 20230
14 202232
15 202135
16 202170
17 20182
18 201855
19 20121
20
Power Characteristics of Jiuquan Wind Power Base
201040

About Kun Ding

Kun Ding is a scholar working on Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (38 papers), Solar Radiation and Photovoltaics (27 papers), Power Systems and Renewable Energy (13 papers), Solar Thermal and Photovoltaic Systems (13 papers), solar cell performance optimization (11 papers), Energy Load and Power Forecasting (7 papers), Smart Grid and Power Systems (5 papers) and Microgrid Control and Optimization (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (654 citations), Energy Engineering and Power Technology (70 citations), Artificial Intelligence (442 citations), Electrical and Electronic Engineering (574 citations) and Control and Systems Engineering (216 citations). Kun Ding has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Tao Peng, Jingwei Zhang, Xiang Chen, Yuanliang Li, Yongjie Liu, Jingwei Zhang, Zenan Yang, Fudong Chen, Jun‐Wei Xu and Xihui Chen. Their work appears in journals such as Energy Conversion and Management, Energy, Solar Energy, IET Renewable Power Generation and Applied Energy.

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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