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
- Machine Learning in Healthcare 2
- Machine Learning and Data Classification 2
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 3
- Co-authors
- Jennifer Dy (12 shared papers)Molly Sands (1 shared paper)Wim Van Den Noortgate (1 shared paper)Karen S. Quigley (1 shared paper)Lisa Feldman Barrett (1 shared paper)Paul Condon (1 shared paper)Erika Siegel (1 shared paper)Yi Li (2 shared papers)
- Journals
- Critical Care (2 papers)Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation (1 paper)Respiratory Medicine (1 paper)Journal of Machine Learning Research (1 paper)Frontiers in Cardiovascular Medicine (1 paper)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Yale Chang
18 papers receiving 588 citations
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 171
- Experimental and Cognitive Psychology 103
- Cardiology and Cardiovascular Medicine 128
- Social Psychology 106
- Health Informatics 6
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 | 2018 | 250 | |
| 2 | 2020 | 89 | |
| 3 | A Robust-Equitable Measure for Feature Ranking and Selection | 2017 | 54 |
| 4 | 2016 | 39 | |
| 5 | 2014 | 24 | |
| 6 | 2021 | 20 | |
| 7 | 2016 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2022 | 19 | |
| 10 | 2016 | 15 | |
| 11 | A Robust-Equitable Copula Dependence Measure for Feature Selection | 2016 | 12 |
| 12 | 2017 | 10 | |
| 13 | 2019 | 9 | |
| 14 | Multiple Clustering Views from Multiple Uncertain Experts | 2017 | 5 |
| 15 | 2022 | 5 | |
| 16 | Solving Interpretable Kernel Dimensionality Reduction | 2019 | 5 |
| 17 | Phenotyping with Prior Knowledge using Patient Similarity | 2020 | 1 |
| 18 | 2020 | 1 | |
| 19 | Clustering from Multiple Uncertain Experts | 2017 | 0 |
| 20 | 2026 | 0 |
About Yale Chang
Yale Chang is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 20 papers that have together received 597 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (3 papers), Face and Expression Recognition (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Machine Learning in Healthcare (2 papers), Data Management and Algorithms (2 papers), Statistical Methods and Inference (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Cognitive Neuroscience (171 citations), Experimental and Cognitive Psychology (103 citations), Cardiology and Cardiovascular Medicine (128 citations), Social Psychology (106 citations) and Health Informatics (6 citations). Yale Chang has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Jennifer Dy, Molly Sands, Wim Van Den Noortgate, Karen S. Quigley, Lisa Feldman Barrett, Paul Condon, Erika Siegel, Yi Li, A. Adam Ding and Gregory Boverman. Their work appears in journals such as Critical Care, Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation, Respiratory Medicine, Journal of Machine Learning Research and Frontiers in Cardiovascular Medicine.
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.