David Feng
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Data Visualization and Analytics 5
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- Neural dynamics and brain function 9
- Co-authors
- Hongkui Zeng (5 shared papers)Michael Hawrylycz (5 shared papers)Christof Koch (5 shared papers)Lydia Ng (6 shared papers)Susan M. Sunkin (5 shared papers)Amy Bernard (3 shared papers)Yang Li (3 shared papers)Nathan W. Gouwens (3 shared papers)
- Journals
- The Journal of Comparative Neurology (3 papers)Nature Communications (2 papers)Methods (2 papers)PLoS ONE (2 papers)International review of neurobiology (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
David Feng
27 papers receiving 712 citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 405
- Biophysics 91
- Cellular and Molecular Neuroscience 240
- Computer Graphics and Computer-Aided Design 41
- Computer Vision and Pattern Recognition 115
Countries citing papers authored by David Feng
This map shows the geographic impact of David Feng'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 David Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Feng more than expected).
Fields of papers citing papers by David Feng
This network shows the impact of papers produced by David Feng. 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 David Feng. The network helps show where David Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside David Feng, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 131 | |
| 2 | 2018 | 129 | |
| 3 | 2016 | 126 | |
| 4 | 2018 | 78 | |
| 5 | 2010 | 48 | |
| 6 | 2018 | 34 | |
| 7 | 2007 | 33 | |
| 8 | 2019 | 20 | |
| 9 | 2007 | 17 | |
| 10 | 2014 | 16 | |
| 11 | 2008 | 15 | |
| 12 | 2019 | 13 | |
| 13 | 2015 | 11 | |
| 14 | 2009 | 11 | |
| 15 | 2009 | 9 | |
| 16 | 2007 | 6 | |
| 17 | 2012 | 5 | |
| 18 | 2006 | 5 | |
| 19 | 2003 | 4 | |
| 20 | 2024 | 4 |
About David Feng
David Feng is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 29 papers that have together received 729 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Computer Graphics and Visualization Techniques (5 papers), Data Visualization and Analytics (5 papers), Cell Image Analysis Techniques (4 papers), Video Coding and Compression Technologies (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Data Analysis with R (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Cognitive Neuroscience (405 citations), Biophysics (91 citations), Cellular and Molecular Neuroscience (240 citations), Computer Graphics and Computer-Aided Design (41 citations) and Computer Vision and Pattern Recognition (115 citations). David Feng has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Hongkui Zeng, Michael Hawrylycz, Christof Koch, Lydia Ng, Susan M. Sunkin, Amy Bernard, Yang Li, Nathan W. Gouwens, Russell M. Taylor and Jim Berg. Their work appears in journals such as The Journal of Comparative Neurology, Nature Communications, Methods, PLoS ONE and International review of neurobiology.
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.