Cong Feng

105 papers receiving 2.4k citations

Peers

Cong Feng
Comparison fields: 5 of 140
  • Renewable Energy, Sustainability and the Environment 432
  • Energy Engineering and Power Technology 80
  • Artificial Intelligence 881
  • Electrical and Electronic Engineering 1.4k
  • Safety, Risk, Reliability and Quality 123
Replace Hao Quan with:
Hao Quan China
Lilin Cheng China
Hongda Liu China
Wenjie Zhang China
Keke Wang China
Fan Shu China
Shady S. Refaat Qatar
Wenlong Liao China
Henrik Aalborg Nielsen Denmark
Ye Ren Singapore
Cong Feng relative to Hao Quan China Hao Quan's profile →
Citations per field
00.5×1.5×2.0×
Hao Quan · 1×
Citations per year

Countries citing papers authored by Cong Feng

Since Specialization
Citations

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

Fields of papers citing papers by Cong Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017268
2 2020137
3 2019115
4 2022113
5 202096
6 201992
7 201888
8 200682
9 202081
10 202377
11 201773
12 202263
13 201956
14 202155
15 201750
16 202146
17 202046
18 201945
19 202237
20 201936

About Cong Feng

Cong Feng is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Renewable Energy, Sustainability and the Environment, having authored 114 papers that have together received 2.5k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (30 papers), Electric Power System Optimization (20 papers), Solar Radiation and Photovoltaics (18 papers), Photovoltaic System Optimization Techniques (11 papers), Advanced Steganography and Watermarking Techniques (11 papers), Video Coding and Compression Technologies (10 papers), Integrated Energy Systems Optimization (6 papers) and Power System Reliability and Maintenance (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (432 citations), Energy Engineering and Power Technology (80 citations), Artificial Intelligence (881 citations), Electrical and Electronic Engineering (1.4k citations) and Safety, Risk, Reliability and Quality (123 citations). Cong Feng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jie Zhang, Bri‐Mathias S. Hodge, Mucun Sun, Mingjian Cui, Wenqi Zhang, Ali Mehmani, Anthony R. Florita, Kim Meow Liew, Sritawat Kitipornchai and Yumin Cheng. Their work appears in journals such as Applied Energy, Chemical Engineering Journal, Renewable Energy, Solar Energy and Journal of Applied 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.

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