Mike Wu
Impact in
- Human-Computer Interaction top 0.5%
- Interactive and Immersive Displays
- Usability and User Interface Design
- Innovative Human-Technology Interaction
- Hand Gesture Recognition Systems
- Health Informatics top 5%
Papers in
-
- Machine Learning in Healthcare 5
- Explainable Artificial Intelligence (XAI) 3
- Adversarial Robustness in Machine Learning 3
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Algorithms 2
-
- Innovative Human-Technology Interaction 5
- Interactive and Immersive Displays 3
- Co-authors
- Ravin Balakrishnan (1 shared paper)Brian Richards (4 shared papers)Finale Doshi‐Velez (5 shared papers)Noah D. Goodman (6 shared papers)Ron Baecker (2 shared papers)Sonali Parbhoo (3 shared papers)Volker Röth (3 shared papers)Julien Epps (2 shared papers)
- Journals
- Minerals Engineering (1 paper)Frontiers in Oncology (1 paper)Computational Brain & Behavior (1 paper)Journal of Artificial Intelligence Research (1 paper)Investigative Ophthalmology & Visual Science (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Mike Wu
25 papers receiving 849 citations
Peers
Comparison fields: 5 of 116
- Human-Computer Interaction 433
- Health Informatics 23
- Cognitive Neuroscience 292
- Computer Vision and Pattern Recognition 226
- Occupational Therapy 39
Countries citing papers authored by Mike Wu
This map shows the geographic impact of Mike 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 Mike Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Wu more than expected).
Fields of papers citing papers by Mike Wu
This network shows the impact of papers produced by Mike 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 Mike Wu. The network helps show where Mike Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mike 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 287 | |
| 2 | 2018 | 136 | |
| 3 | 2006 | 79 | |
| 4 | 2005 | 50 | |
| 5 | Multimodal Generative Models for Scalable Weakly-Supervised Learning | 2018 | 44 |
| 6 | 2004 | 43 | |
| 7 | 2016 | 34 | |
| 8 | Predicting intervention onset in the ICU with switching state space models. | 2017 | 29 |
| 9 | 2019 | 28 | |
| 10 | 2023 | 26 | |
| 11 | 2008 | 26 | |
| 12 | 2019 | 20 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 14 | |
| 15 | 2013 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2010 | 10 | |
| 18 | 2005 | 9 | |
| 19 | 2009 | 6 | |
| 20 | 2020 | 6 |
About Mike Wu
Mike Wu is a scholar working on Artificial Intelligence, Human-Computer Interaction, Computer Vision and Pattern Recognition, Occupational Therapy and Cognitive Neuroscience, having authored 26 papers that have together received 898 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (5 papers), Machine Learning in Healthcare (5 papers), Interactive and Immersive Displays (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Human-Computer Interaction (433 citations), Health Informatics (23 citations), Cognitive Neuroscience (292 citations), Computer Vision and Pattern Recognition (226 citations) and Occupational Therapy (39 citations). Mike Wu has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Ravin Balakrishnan, Brian Richards, Finale Doshi‐Velez, Noah D. Goodman, Ron Baecker, Sonali Parbhoo, Volker Röth, Julien Epps, Michael Hughes and Maurizio Zazzi. Their work appears in journals such as Minerals Engineering, Frontiers in Oncology, Computational Brain & Behavior, Journal of Artificial Intelligence Research and Investigative Ophthalmology & Visual Science.
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.