Min Wu

12.3k total citations · 2 hit papers
292 papers, 8.2k citations indexed

About

Min Wu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Min Wu has authored 292 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computer Vision and Pattern Recognition, 48 papers in Electrical and Electronic Engineering and 47 papers in Signal Processing. Recurrent topics in Min Wu's work include Advanced Steganography and Watermarking Techniques (99 papers), Digital Media Forensic Detection (97 papers) and Chaos-based Image/Signal Encryption (60 papers). Min Wu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (99 papers), Digital Media Forensic Detection (97 papers) and Chaos-based Image/Signal Encryption (60 papers). Min Wu collaborates with scholars based in United States, China and Japan. Min Wu's co-authors include Yinian Mao, K. J. Ray Liu, Ashwin Swaminathan, Avinash L. Varna, A. Swaminathan, Bede Liu, Jinhua She, Bede Liu, Ravi Garg and Wade Trappe and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Min Wu

273 papers receiving 7.6k citations

Hit Papers

Robust and secure image hashing 2006 2026 2012 2019 2006 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Min Wu United States 45 5.6k 1.3k 1.2k 1.1k 1.0k 292 8.2k
Deepa Kundur Canada 40 3.1k 0.6× 1.5k 1.1× 637 0.5× 575 0.5× 1.6k 1.6× 240 6.4k
P.K. Khosla United States 30 2.3k 0.4× 1.1k 0.8× 804 0.7× 511 0.5× 270 0.3× 100 4.3k
Fathi E. Abd El‐Samie Egypt 42 3.8k 0.7× 803 0.6× 1.3k 1.0× 1.7k 1.5× 1.5k 1.5× 628 7.8k
Jun Cheng China 38 2.9k 0.5× 1.1k 0.9× 1.4k 1.2× 324 0.3× 842 0.8× 318 5.5k
Dimitrios Hatzinakos Canada 43 3.4k 0.6× 1.0k 0.8× 520 0.4× 1.5k 1.3× 1.0k 1.0× 284 7.6k
A. Murat Tekalp United States 51 8.6k 1.5× 1.0k 0.8× 693 0.6× 2.7k 2.5× 519 0.5× 396 10.1k
Alex C. Kot Singapore 47 8.1k 1.4× 575 0.4× 2.8k 2.3× 1.8k 1.7× 680 0.7× 348 10.5k
Vivienne Sze United States 30 4.7k 0.9× 1.0k 0.8× 2.5k 2.1× 1.2k 1.1× 4.6k 4.6× 92 9.1k
Evangelos Milios Canada 35 2.8k 0.5× 1.3k 1.0× 2.2k 1.8× 489 0.4× 804 0.8× 255 6.7k
Yan Ye China 31 1.9k 0.3× 939 0.7× 474 0.4× 1.3k 1.2× 1.5k 1.4× 262 5.7k

Countries citing papers authored by Min Wu

Since Specialization
Citations

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

Fields of papers citing papers by Min Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Wu. A scholar is included among the top collaborators of Min Wu 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 Min Wu. Min Wu 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
1.
Wang, Feng, et al.. (2024). Explainable deep learning for sEMG-based similar gesture recognition: A Shapley-value-based solution. Information Sciences. 672. 120667–120667. 7 indexed citations
2.
Tian, Xin, et al.. (2024). A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness. IEEE Transactions on Information Forensics and Security. 19. 7449–7464. 1 indexed citations
3.
Li, Yuenan, Xin Tian, Qiang Zhu, & Min Wu. (2024). Inferring Electrocardiography From Optical Sensing Using Lightweight Neural Network. IEEE Transactions on Artificial Intelligence. 5(7). 3535–3550. 2 indexed citations
4.
Li, Min, Luefeng Chen, Min Wu, Kaoru Hirota, & Witold Pedrycz. (2024). Broad-deep network-based fuzzy emotional inference model with personal information for intention understanding in human–robot interaction. Annual Reviews in Control. 57. 100951–100951. 1 indexed citations
5.
Tian, Xin, Qiang Zhu, Yuenan Li, & Min Wu. (2022). Cross-Domain Joint Dictionary Learning for ECG Inference From PPG. IEEE Internet of Things Journal. 10(9). 8140–8154. 9 indexed citations
6.
Huang, Haiping, et al.. (2021). Stochastic Task Scheduling in UAV-Based Intelligent On-Demand Meal Delivery System. IEEE Transactions on Intelligent Transportation Systems. 23(8). 13040–13054. 50 indexed citations
7.
Wang, Jiaqi, et al.. (2020). Survey and intervention study of sleep in children with postural tachycardia syndrome. Chinese Journal of Child Health Care. 28(4). 374. 1 indexed citations
8.
Liu, Runze, Chau-Wai Wong, & Min Wu. (2018). Enhanced Geometric Reflection Models for Paper Surface Based Authentication. 1–7. 5 indexed citations
9.
Kazemipour, Abbas, Ji Liu, Daniel A. Nagode, et al.. (2017). Fast and Stable Signal Deconvolution via Compressible State-Space Models. IEEE Transactions on Biomedical Engineering. 65(1). 74–86. 8 indexed citations
10.
Wu, Min, et al.. (2017). Analysis on the crude and processed Fructus Corni by infrared spectroscopy and two-dimensional correlation infrared spectroscopy.. Zhonghua zhongyiyao zazhi. 32(8). 3756–3758.
11.
Wu, Min, et al.. (2013). Point-Based Online Value Iteration Algorithm for POMDPs. 24(1). 25–36.
12.
Hajj-Ahmad, Adi, Ravi Garg, & Min Wu. (2013). ENF based location classification of sensor recordings. 138–143. 11 indexed citations
13.
Hajj-Ahmad, Adi, Ravi Garg, & Min Wu. (2012). Instantaneous frequency estimation and localization for ENF signals. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–10. 37 indexed citations
14.
Wu, Min, et al.. (2011). Examining Digital Game-based Learning through the Lens of 21st Century Gamers. Society for Information Technology & Teacher Education International Conference. 2011(1). 45–52. 1 indexed citations
15.
Gou, Hongmei & Min Wu. (2007). Improving Embedding Payload in Binary Imageswith "Super-Pixels". III – 277. 10 indexed citations
16.
Gou, Hongmei, Ashwin Swaminathan, & Min Wu. (2007). Robust scanner identification based on noise features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6505. 65050S–65050S. 47 indexed citations
17.
Wu, Min, et al.. (2006). A New Technique Based on Image Processing for Printing Registration Deviation Detection. Journal of Hunan University.
18.
Wu, Min. (2005). The Question of Business Process Reengineering in Chinese Enterprises and the Countermeasures.
19.
Wu, Min, et al.. (2005). Automatic Visual Inspection for Foamed Mask Packing Products Based on Co-occurrence Matrix and Color Features. Journal of Hunan University. 1 indexed citations
20.
Craver, Scott, Min Wu, Bede Liu, et al.. (2001). Reading between the lines: lessons from the SDMI challenge. USENIX Security Symposium. 10–10. 43 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026