Edward F. Chang

46.1k citations
429 papers · 27.0k indexed · 13 hit papers · h-index 84
Topics
EEG and Brain-Computer Interfaces (95 papers)Neural dynamics and brain function (87 papers)Epilepsy research and treatment (64 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Edward F. Chang

412 papers receiving 26.6k citations

Hit Papers

Purification and Characterization of Progenitor and M...2008202620142020201520162018200820124008001.2k

Peers

Edward F. Chang
Comparison fields: 5 of 200
  • Cognitive Neuroscience 11.3k
  • Cellular and Molecular Neuroscience 4.8k
  • Neurology 4.3k
  • Psychiatry and Mental health 3.9k
  • Neurology 3.6k
Replace Gereon R. Fink with:
Gereon R. Fink Germany
Heidi Johansen‐Berg United Kingdom
James C. Gee United States
Jeremy D. Schmahmann United States
G. Bruce Pike Canada
Huda Y. Zoghbi United States
Hugues Duffau France
Itzhak Fried United States
S. Thomas Carmichael United States
Jeffrey G. Ojemann United States
Edward F. Chang relative to Gereon R. Fink Germany Gereon R. Fink's profile →
Citations per field
00.5×1.7×
Gereon R. Fink · 1×
Citations per year

Countries citing papers authored by Edward F. Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Edward F. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Edward F. Chang. A scholar is included among the top collaborators of Edward F. Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward F. Chang. Edward F. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 11
4 3
5 10
6 30
7 2
8 3
9 45
10 24
11 32
12 8
13 78
14 84
15 57
16
The Union of Intersections (UoI) method for interpretable data driven discovery and prediction
1
17
New tools for studying microglia in the mouse and human CNSbreakdown →
1298
18 209
19 7
20 135

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) and Epilepsy research and treatment (64 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.

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