Min Wu
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
Papers in
-
- Anomaly Detection Techniques and Applications 24
- Domain Adaptation and Few-Shot Learning 21
- Advanced Graph Neural Networks 16
-
- Bioinformatics and Genomic Networks 41
- Co-authors
- Xiaoli Li (112 shared papers)Zhenghua Chen (82 shared papers)Chee Keong Kwoh (41 shared papers)Chee-Keong Kwoh (10 shared papers)Emadeldeen Eldele (13 shared papers)Ali Ezzat (5 shared papers)Mohamed Ragab (23 shared papers)See-Kiong Ng (5 shared papers)
- Journals
- Bioinformatics (14 papers)IEEE Transactions on Instrumentation and Measurement (9 papers)Scientific Reports (8 papers)BMC Bioinformatics (7 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (6 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Min Wu
411 papers receiving 10.3k citations
Min Wu's Hit Papers
Peers
Comparison fields: 5 of 205
- Computational Theory and Mathematics 1.4k
- Artificial Intelligence 2.0k
- Signal Processing 643
- Control and Systems Engineering 1.2k
- Molecular Biology 3.4k
Countries citing papers authored by Min Wu
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
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-authors
The 25 scholars most cited alongside Min Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 462 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 453 | |
| 2 | Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach Hit paper breakdown → | 2020 | 452 |
| 3 | An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG Hit paper breakdown → | 2021 | 400 |
| 4 | Time-Series Representation Learning via Temporal and Contextual Contrasting Hit paper breakdown → | 2021 | 307 |
| 5 | 2016 | 293 | |
| 6 | 2009 | 287 | |
| 7 | Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST Hit paper breakdown → | 2023 | 278 |
| 8 | A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability Hit paper breakdown → | 2020 | 274 |
| 9 | 2010 | 261 | |
| 10 | 2016 | 250 | |
| 11 | 2002 | 223 | |
| 12 | 2015 | 219 | |
| 13 | 2018 | 212 | |
| 14 | 2010 | 153 | |
| 15 | 2021 | 140 | |
| 16 | 2020 | 138 | |
| 17 | 2020 | 123 | |
| 18 | 2022 | 116 | |
| 19 | 2021 | 114 | |
| 20 | 2016 | 107 |
About Min Wu
Min Wu is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 462 papers that have together received 10.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (41 papers), Anomaly Detection Techniques and Applications (24 papers), Computational Drug Discovery Methods (24 papers), Domain Adaptation and Few-Shot Learning (21 papers), EEG and Brain-Computer Interfaces (18 papers), Advanced Graph Neural Networks (16 papers), Time Series Analysis and Forecasting (15 papers) and Machine Fault Diagnosis Techniques (15 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (2.0k citations), Signal Processing (643 citations), Control and Systems Engineering (1.2k citations) and Molecular Biology (3.4k citations). Min Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaoli Li, Zhenghua Chen, Chee Keong Kwoh, Chee-Keong Kwoh, Emadeldeen Eldele, Ali Ezzat, Mohamed Ragab, See-Kiong Ng, Ruqiang Yan and Peilin Zhao. Their work appears in journals such as Bioinformatics, IEEE Transactions on Instrumentation and Measurement, Scientific Reports, BMC Bioinformatics and IEEE Transactions on Neural Systems and Rehabilitation Engineering.
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.