Feng Wu

2.1k citations
78 papers · 1.6k · h-index 18

Impact in

    • Video Coding and Compression Technologies
    • Multimodal Machine Learning Applications
    • Advanced Data Compression Techniques
    • Generative Adversarial Networks and Image Synthesis
    • Advanced Neural Network Applications
    • Image Enhancement Techniques

Papers in

Feng Wu

73 papers receiving 1.5k citations

Peers

Feng Wu
Comparison fields: 5 of 51
  • Signal Processing 371
  • Computer Vision and Pattern Recognition 673
  • Computer Networks and Communications 99
  • Media Technology 14
  • Artificial Intelligence 54
Replace Raouf Hamzaoui with:
Raouf Hamzaoui United Kingdom
Anthony T. S. Ho United Kingdom
Wen Gao China
Panos Nasiopoulos Canada
Truong Cong Thang Japan
Jiro Katto Japan
Igor V. Kozintsev United States
K.R. Ramakrishnan India
T.D. Lookabaugh United States
Haohong Wang United States
Feng Wu relative to Raouf Hamzaoui United Kingdom Raouf Hamzaoui's profile →
Citations per field
00.5×1.5×1.8×
Raouf Hamzaoui · 1×
Citations per year

Countries citing papers authored by Feng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020334
2 2019225
3 2001223
4 2007154
5 200559
6 200946
7 202438
8 200733
9 200828
10 200326
11 201925
12 200620
13 200720
14 200519
15 202019
16 202019
17 200818
18 201218
19 200316
20 201213

About Feng Wu

Feng Wu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (15 papers), Adaptive optics and wavefront sensing (4 papers), Image Enhancement Techniques (4 papers), Advanced Data Compression Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Network Traffic and Congestion Control (3 papers), Mobile Ad Hoc Networks (3 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Signal Processing (371 citations), Computer Vision and Pattern Recognition (673 citations), Computer Networks and Communications (99 citations), Media Technology (14 citations) and Artificial Intelligence (54 citations). Feng Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shipeng Li, Ya-Qin Zhang, Tianzhu Zhang, Yan Li, Xi Wei, Yongdong Zhang, Zheng-Jun Zha, Daqing Liu, Hanwang Zhang and Dong Liu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Internet of Things Journal, Applied Optics and IEEE Journal on Selected Areas in Communications.

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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