Eric Sun
Impact in
- Transportation top 1%
- Human Mobility and Location-Based Analysis
- Aging top 5%
Papers in
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- Speech Recognition and Synthesis 13
- Natural Language Processing Techniques 7
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- Single-cell and spatial transcriptomics 8
- Pluripotent Stem Cells Research 4
- Co-authors
- Cameron Marlow (2 shared papers)Lars Bäckström (1 shared paper)Thomas Lento (1 shared paper)Itamar Rosenn (1 shared paper)Anne Brunet (9 shared papers)Jinyu Li (11 shared papers)Yifan Gong (9 shared papers)James Zou (8 shared papers)
- Journals
- Nature Aging (3 papers)Nature (2 papers)Nature Methods (1 paper)Bioinformatics (1 paper)Journal of Vision (1 paper)
- Partner nations
- United StatesIsraelIndia
In The Last Decade
Eric Sun
34 papers receiving 1.3k citations
Eric Sun's Hit Papers
Peers
Comparison fields: 5 of 125
- Transportation 350
- Aging 50
- Statistical and Nonlinear Physics 330
- Geography, Planning and Development 131
- Signal Processing 187
Countries citing papers authored by Eric Sun
This map shows the geographic impact of Eric Sun'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 Eric Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Sun more than expected).
Fields of papers citing papers by Eric Sun
This network shows the impact of papers produced by Eric Sun. 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 Eric Sun. The network helps show where Eric Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Sun, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Find me if you can Hit paper breakdown → | 2010 | 550 |
| 2 | 2009 | 164 | |
| 3 | 2022 | 103 | |
| 4 | 2021 | 67 | |
| 5 | Ground: A Data Context Service. | 2017 | 51 |
| 6 | 2020 | 50 | |
| 7 | 2024 | 34 | |
| 8 | 2024 | 34 | |
| 9 | 2021 | 34 | |
| 10 | 2024 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2024 | 19 | |
| 13 | 2020 | 17 | |
| 14 | 2023 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2025 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2020 | 11 |
About Eric Sun
Eric Sun is a scholar working on Artificial Intelligence, Molecular Biology, Signal Processing, Neurology and Developmental Neuroscience, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Single-cell and spatial transcriptomics (8 papers), Natural Language Processing Techniques (7 papers), Music and Audio Processing (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Speech and Audio Processing (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Transportation (350 citations), Aging (50 citations), Statistical and Nonlinear Physics (330 citations), Geography, Planning and Development (131 citations) and Signal Processing (187 citations). Eric Sun has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Cameron Marlow, Lars Bäckström, Thomas Lento, Itamar Rosenn, Anne Brunet, Jinyu Li, Yifan Gong, James Zou, Zhong Meng and Lucy Xu. Their work appears in journals such as Nature Aging, Nature, Nature Methods, Bioinformatics and Journal of Vision.
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.