Guo‐Feng Fan

48 total papers · 1.8k total citations
37 papers, 1.4k citations indexed

About

Guo‐Feng Fan is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guo‐Feng Fan has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 28 papers in Management Science and Operations Research and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guo‐Feng Fan's work include Energy Load and Power Forecasting (31 papers), Grey System Theory Applications (25 papers) and Image and Signal Denoising Methods (7 papers). Guo‐Feng Fan is often cited by papers focused on Energy Load and Power Forecasting (31 papers), Grey System Theory Applications (25 papers) and Image and Signal Denoising Methods (7 papers). Guo‐Feng Fan collaborates with scholars based in Taiwan, China and Romania. Guo‐Feng Fan's co-authors include Wei‐Chiang Hong, Li‐Ling Peng, Fan Sun, Yi‐Hsuan Yeh, Yanhui Guo, Meng Yu, Meng Yu, Shan Qing, Hua Wang and Yating Li and has published in prestigious journals such as Scientific Reports, Applied Energy and Expert Systems with Applications.

In The Last Decade

Guo‐Feng Fan

35 papers receiving 1.3k citations

Hit Papers

Applications of random fo... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guo‐Feng Fan 902 444 299 199 178 37 1.4k
Grzegorz Dudek 875 1.0× 376 0.8× 281 0.9× 154 0.8× 106 0.6× 59 1.2k
Souhaib Ben Taieb 700 0.8× 544 1.2× 405 1.4× 99 0.5× 170 1.0× 29 1.5k
Shuai Fan 1.2k 1.3× 290 0.7× 226 0.8× 138 0.7× 94 0.5× 55 1.4k
Saifur Rahman 1.2k 1.3× 318 0.7× 299 1.0× 115 0.6× 153 0.9× 59 1.5k
Yaoyao He 1.1k 1.3× 394 0.9× 486 1.6× 128 0.6× 120 0.7× 76 1.8k
Lu Peng 881 1.0× 249 0.6× 348 1.2× 56 0.3× 98 0.6× 64 1.6k
Javier M. Aguiar 1.1k 1.2× 199 0.4× 354 1.2× 215 1.1× 170 1.0× 38 1.5k
Salah Bouktif 480 0.5× 209 0.5× 330 1.1× 86 0.4× 161 0.9× 50 1.4k
Jatin Bedi 516 0.6× 178 0.4× 329 1.1× 129 0.6× 173 1.0× 50 1.1k
Yu‐Rong Zeng 521 0.6× 383 0.9× 385 1.3× 63 0.3× 109 0.6× 53 1.6k

Countries citing papers authored by Guo‐Feng Fan

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Feng Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo‐Feng Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Feng Fan. A scholar is included among the top collaborators of Guo‐Feng Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guo‐Feng Fan. Guo‐Feng Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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