Bihan Wen

6.2k citations
153 papers · 3.5k indexed · 2 hit papers · h-index 33

Impact in

    • Advanced Image Fusion Techniques
    • Image Processing Techniques and Applications
    • Image and Signal Denoising Methods
    • Advanced Image Processing Techniques
    • Image Enhancement Techniques
    • Digital Media Forensic Detection
    • Advanced Vision and Imaging

Papers in

Bihan Wen

138 papers receiving 3.5k citations

Hit Papers

Denoising Diffusion Models for Plug-and-Play Image Restoration 2023 · 83 citations
83202120262022202450100150200

Peers

Bihan Wen
Comparison fields: 5 of 132
  • Media Technology 1.1k
  • Computer Vision and Pattern Recognition 2.4k
  • Computational Mathematics 24
  • Computational Mechanics 628
  • Artificial Intelligence 564
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Citations per field
00.5×
Xiao–Tong Yuan · 1×
Citations per year

Countries citing papers authored by Bihan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Bihan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20245
4 20249
5 202413
6 202410
7 20234
8 202317
9 20236
10 20234
11 202230
12 202213
13 202145
14 20217
15 202152
16 202083
17 2020105
18 202089
19 201912
20 2016227

About Bihan Wen

Bihan Wen is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Signal Processing and Biophysics, having authored 153 papers that have together received 3.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (54 papers), Advanced Image Processing Techniques (45 papers), Sparse and Compressive Sensing Techniques (40 papers), Advanced Image Fusion Techniques (18 papers), Image Enhancement Techniques (16 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Generative Adversarial Networks and Image Synthesis (11 papers). The work is most often cited by research in Media Technology (1.1k citations), Computer Vision and Pattern Recognition (2.4k citations), Computational Mathematics (24 citations), Computational Mechanics (628 citations) and Artificial Intelligence (564 citations). Bihan Wen has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Zhiyuan Zha, Ce Zhu, Xin Yuan, Jiantao Zhou, Yoram Bresler, Thomas S. Huang, Saiprasad Ravishankar, Ding Liu, Ding Liu and Tao Bai. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

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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