Gang Fu

2.1k total citations · 1 hit paper
64 papers, 1.2k citations indexed

About

Gang Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Gang Fu has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Gang Fu's work include Image Enhancement Techniques (17 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image and Signal Denoising Methods (6 papers). Gang Fu is often cited by papers focused on Image Enhancement Techniques (17 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image and Signal Denoising Methods (6 papers). Gang Fu collaborates with scholars based in China, United States and Hong Kong. Gang Fu's co-authors include Mingliang Wang, Ruoxi Wang, Bin Fu, Chunxia Xiao, Qing Zhang, Jiayu Ye, Qingxiang Wang, Lian Duan, Jianhui Zhao and Ping Li and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Controlled Release and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Gang Fu

56 papers receiving 1.1k citations

Hit Papers

Deep & Cross Network for Ad Click Predictions 2017 2026 2020 2023 2017 200 400 600

Peers

Gang Fu
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 533
  • Information Systems 463
  • Artificial Intelligence 405
  • Computer Networks and Communications 127
  • Media Technology 98
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Citations per field, relative to Gang Fu
Gang Fu · 1×
Citations per year, relative to Gang Fu
Gang Fu · 1×

Countries citing papers authored by Gang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Fu. A scholar is included among the top collaborators of Gang Fu 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 Gang Fu. Gang Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 1
5 2
6 3
7 25
8 0
9 0
10 2
11 6
12 4
13 17
14 22
15 2
16 53
17 38
18 12
19 3
20 1

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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