Edward F. Chang
- Cognitive Neuroscience top 0.05%
- EEG and Brain-Computer Interfaces 95
- Neural dynamics and brain function 87
- Neuroscience and Music Perception 51
- Functional Brain Connectivity Studies 37
- Neurology top 0.05%
- Neurological disorders and treatments 42
- Genetics top 0.1%
- Glioma Diagnosis and Treatment 46
- Developmental Neuroscience top 0.2%
- Neurology top 0.1%
- Neurological disorders and treatments 42
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- Epilepsy research and treatment 64
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- Neuroscience and Neural Engineering 38
- Co-authors
- Dario J. EnglotNima MesgaraniMitchel S. BergerNicholas M. BarbaroKeith JohnsonMichael M. MerzenichMatthew K. LeonardGopala K. Anumanchipalli
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Edward F. Chang
412 papers receiving 26.6k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Cognitive Neuroscience 11.3k
- Neurology 3.6k
- Genetics 3.5k
- Developmental Neuroscience 1.3k
- Neurology 4.3k
Countries citing papers authored by Edward F. Chang
This map shows the geographic impact of Edward F. 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 Edward F. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward F. Chang more than expected).
Fields of papers citing papers by Edward F. Chang
This network shows the impact of papers produced by Edward F. 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 Edward F. Chang. The network helps show where Edward F. Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward F. 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 11 | |
| 4 | 2025 | 3 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 30 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 45 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 78 | |
| 14 | 2020 | 84 | |
| 15 | 2017 | 57 | |
| 16 | The Union of Intersections (UoI) method for interpretable data driven discovery and prediction | 2017 | 1 |
| 17 | New tools for studying microglia in the mouse and human CNSbreakdown → | 2016 | 1298 |
| 18 | 2016 | 209 | |
| 19 | 2014 | 7 | |
| 20 | 2010 | 135 |
About Edward F. Chang
Edward F. Chang is a scholar working on Cognitive Neuroscience, Neurology and Genetics, having authored 429 papers that have together received 27.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (95 papers), Neural dynamics and brain function (87 papers), Epilepsy research and treatment (64 papers), Neuroscience and Music Perception (51 papers), Glioma Diagnosis and Treatment (46 papers), Neurological disorders and treatments (42 papers), Neuroscience and Neural Engineering (38 papers) and Functional Brain Connectivity Studies (37 papers). The work is most often cited by research in Cognitive Neuroscience (11.3k citations), Neurology (3.6k citations) and Genetics (3.5k citations). Edward F. Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Dario J. Englot, Nima Mesgarani, Mitchel S. Berger, Nicholas M. Barbaro, Keith Johnson, Michael M. Merzenich, Matthew K. Leonard, Gopala K. Anumanchipalli, Robert T. Knight and Kurtis I. Auguste. Their work appears in journals such as Nature, Science and New England Journal of 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.