Yale Chang
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
-
- Mental Health Research Topics
- Emotion and Mood Recognition
Papers in
-
- Advanced Clustering Algorithms Research 3
- Bayesian Methods and Mixture Models 2
- Machine Learning in Healthcare 2
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- Statistical Methods and Inference 2
- Co-authors
- Jennifer DyErika SiegelLisa Feldman BarrettPaul CondonKaren S. QuigleyWim Van Den NoortgateMolly SandsA. Adam Ding
- Journals
- Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation (1 paper)IEEE Transactions on Medical Imaging (1 paper)Psychological Bulletin (1 paper)npj Digital Medicine (1 paper)Critical Care (1 paper)
- Partner nations
- United StatesMexicoGermany
In The Last Decade
Yale Chang
18 papers receiving 568 citations
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 176
- Experimental and Cognitive Psychology 109
- Health Informatics 8
- Cardiology and Cardiovascular Medicine 132
- Social Psychology 107
Countries citing papers authored by Yale Chang
This map shows the geographic impact of Yale Chang'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 Yale Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yale Chang more than expected).
Fields of papers citing papers by Yale Chang
This network shows the impact of papers produced by Yale Chang. 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 Yale Chang. The network helps show where Yale Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yale Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2022 | 17 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 87 | |
| 6 | Phenotyping with Prior Knowledge using Patient Similarity | 2020 | 1 |
| 7 | 2020 | 1 | |
| 8 | Solving Interpretable Kernel Dimensionality Reduction | 2019 | 5 |
| 9 | 2019 | 9 | |
| 10 | 2018 | 244 | |
| 11 | A Robust-Equitable Measure for Feature Ranking and Selection | 2017 | 53 |
| 12 | Clustering from Multiple Uncertain Experts | 2017 | 0 |
| 13 | Multiple Clustering Views from Multiple Uncertain Experts | 2017 | 3 |
| 14 | 2017 | 10 | |
| 15 | A Robust-Equitable Copula Dependence Measure for Feature Selection | 2016 | 12 |
| 16 | 2016 | 39 | |
| 17 | 2016 | 18 | |
| 18 | 2016 | 15 | |
| 19 | 2014 | 24 |
About Yale Chang
Yale Chang is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Critical Care and Intensive Care Medicine and Signal Processing, having authored 19 papers that have together received 578 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Face and Expression Recognition (3 papers), Asthma and respiratory diseases (3 papers), Advanced Clustering Algorithms Research (3 papers), ECG Monitoring and Analysis (2 papers), Bayesian Methods and Mixture Models (2 papers), Machine Learning in Healthcare (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Cognitive Neuroscience (176 citations), Experimental and Cognitive Psychology (109 citations), Health Informatics (8 citations), Cardiology and Cardiovascular Medicine (132 citations) and Social Psychology (107 citations). Yale Chang has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Jennifer Dy, Erika Siegel, Lisa Feldman Barrett, Paul Condon, Karen S. Quigley, Wim Van Den Noortgate, Molly Sands, A. Adam Ding, Yi Li and Gregory Boverman. Their work appears in journals such as Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation, IEEE Transactions on Medical Imaging, Psychological Bulletin, npj Digital Medicine and Critical Care.
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.