Peng Cao
- Computational Mathematics top 10%
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- Artificial Intelligence in Healthcare 7
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 11
- Domain Adaptation and Few-Shot Learning 5
- Neurology top 10%
- Brain Tumor Detection and Classification 5
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 8
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- Dementia and Cognitive Impairment Research 7
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- Retinal Imaging and Analysis 5
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- Electricity Theft Detection Techniques 4
Peng Cao
35 papers receiving 759 citations
Peers
Comparison fields: 5 of 104
- Computational Mathematics 12
- Health Information Management 67
- Artificial Intelligence 348
- Neurology 86
- Cognitive Neuroscience 198
Countries citing papers authored by Peng Cao
This map shows the geographic impact of Peng Cao'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 Peng Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Cao more than expected).
Fields of papers citing papers by Peng Cao
This network shows the impact of papers produced by Peng Cao. 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 Peng Cao. The network helps show where Peng Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peng Cao, 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 | 0 | |
| 2 | 2023 | 12 | |
| 3 | 2022 | 14 | |
| 4 | 2022 | 0 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 108 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 39 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 151 | |
| 11 | 2018 | 21 | |
| 12 | 2018 | 16 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 31 | |
| 15 | 2017 | 41 | |
| 16 | 2017 | 29 | |
| 17 | 2016 | 12 | |
| 18 | 2016 | 58 | |
| 19 | 2015 | 8 | |
| 20 | 2013 | 39 |
About Peng Cao
Peng Cao is a scholar working on Health Information Management, Neurology, Artificial Intelligence, Cognitive Neuroscience and Psychiatry and Mental health, having authored 37 papers that have together received 774 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (11 papers), Functional Brain Connectivity Studies (8 papers), Dementia and Cognitive Impairment Research (7 papers), Artificial Intelligence in Healthcare (7 papers), Brain Tumor Detection and Classification (5 papers), Retinal Imaging and Analysis (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Electricity Theft Detection Techniques (4 papers). The work is most often cited by research in Computational Mathematics (12 citations), Health Information Management (67 citations), Artificial Intelligence (348 citations), Neurology (86 citations) and Cognitive Neuroscience (198 citations). Peng Cao has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Osmar R. Zaı̈ane, Jinzhu Yang, Dazhe Zhao, Xiaoli Liu, Min Huang, Yuzhe Yang, Lijie Fan, Dina Katabi, Tianhong Li and Yuan Yuan. Their work appears in journals such as Computerized Medical Imaging and Graphics, Computers in Biology and Medicine, Computer Methods and Programs in Biomedicine, Neuroinformatics and Engineering Applications of Artificial Intelligence.
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.