Edward Cui
Impact in
- Anesthesiology and Pain Medicine top 10%
- Pain Management and Opioid Use
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- Musculoskeletal pain and rehabilitation
Papers in
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- Neuroscience and Neuropharmacology Research 4
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- Multimodal Machine Learning Applications 4
- Human Pose and Action Recognition 2
- Co-authors
- Alexander J. Clark (1 shared paper)Ben W. Strowbridge (3 shared papers)Nan Duan (4 shared papers)Taroon Bharti (3 shared papers)Haoyang Huang (2 shared papers)Dongdong Zhang (2 shared papers)Lin Su (2 shared papers)Minheng Ni (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Pain Research and Management (1 paper)Journal of Cognitive Neuroscience (1 paper)eLife (1 paper)Schizophrenia Research (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Edward Cui
11 papers receiving 288 citations
Peers
Comparison fields: 5 of 59
- Anesthesiology and Pain Medicine 29
- Pharmacology 63
- Computer Vision and Pattern Recognition 73
- Artificial Intelligence 70
- Cognitive Neuroscience 34
Countries citing papers authored by Edward Cui
This map shows the geographic impact of Edward Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Cui more than expected).
Fields of papers citing papers by Edward Cui
This network shows the impact of papers produced by Edward Cui. 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 Cui. The network helps show where Edward Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Cui, 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 | 2007 | 153 | |
| 2 | 2021 | 44 | |
| 3 | 2021 | 41 | |
| 4 | 2017 | 17 | |
| 5 | 2019 | 13 | |
| 6 | 2019 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2022 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2022 | 1 |
About Edward Cui
Edward Cui is a scholar working on Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Molecular Biology and Artificial Intelligence, having authored 11 papers that have together received 292 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Neural dynamics and brain function (2 papers), Human Pose and Action Recognition (2 papers), Receptor Mechanisms and Signaling (2 papers), Functional Brain Connectivity Studies (2 papers) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (29 citations), Pharmacology (63 citations), Computer Vision and Pattern Recognition (73 citations), Artificial Intelligence (70 citations) and Cognitive Neuroscience (34 citations). Edward Cui has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Alexander J. Clark, Ben W. Strowbridge, Nan Duan, Taroon Bharti, Haoyang Huang, Dongdong Zhang, Lin Su, Minheng Ni, Lijuan Wang and Qiaolin Xia. Their work appears in journals such as Journal of Neuroscience, Pain Research and Management, Journal of Cognitive Neuroscience, eLife and Schizophrenia Research.
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.