Chaoran Cheng
Impact in
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- FinTech, Crowdfunding, Digital Finance
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- Microfinance and Financial Inclusion
- Housing Market and Economics
Papers in
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- Housing Market and Economics 3
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- Gene expression and cancer classification 1
- Co-authors
- Zhi Wei (6 shared papers)Tong Wang (1 shared paper)He Zhang (1 shared paper)Bin Shao (1 shared paper)Zun Wang (1 shared paper)Tie‐Yan Liu (1 shared paper)Yusong Wang (1 shared paper)Haiguang Liu (1 shared paper)
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)Computer Methods in Biomechanics & Biomedical Engineering (1 paper)Data Mining and Knowledge Discovery (1 paper)Nature (1 paper)Frontiers in Behavioral Neuroscience (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chaoran Cheng
14 papers receiving 182 citations
Chaoran Cheng's Hit Papers
Peers
Comparison fields: 5 of 70
- Management Information Systems 26
- Economics and Econometrics 37
- Marketing 12
- Geology 6
- Computational Theory and Mathematics 16
Countries citing papers authored by Chaoran Cheng
This map shows the geographic impact of Chaoran Cheng'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 Chaoran Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoran Cheng more than expected).
Fields of papers citing papers by Chaoran Cheng
This network shows the impact of papers produced by Chaoran Cheng. 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 Chaoran Cheng. The network helps show where Chaoran Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoran Cheng, 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 | Ab initio characterization of protein molecular dynamics with AI2BMD Hit paper breakdown → | 2024 | 73 |
| 2 | 2019 | 32 | |
| 3 | 2022 | 23 | |
| 4 | 2022 | 18 | |
| 5 | 2017 | 12 | |
| 6 | 2023 | 8 | |
| 7 | 2016 | 6 | |
| 8 | 2016 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2016 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 |
About Chaoran Cheng
Chaoran Cheng is a scholar working on Economics and Econometrics, Molecular Biology, Artificial Intelligence, Computational Mechanics and Epidemiology, having authored 14 papers that have together received 186 indexed citations. Recurring topics across this work include Housing Market and Economics (3 papers), Natural Language Processing Techniques (2 papers), Human Mobility and Location-Based Analysis (2 papers), Bone fractures and treatments (2 papers), Topic Modeling (2 papers), Risk and Safety Analysis (1 paper), Gene expression and cancer classification (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Management Information Systems (26 citations), Economics and Econometrics (37 citations), Marketing (12 citations), Geology (6 citations) and Computational Theory and Mathematics (16 citations). Chaoran Cheng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhi Wei, Tong Wang, He Zhang, Bin Shao, Zun Wang, Tie‐Yan Liu, Yusong Wang, Haiguang Liu, Xinheng He and Mingyu Li. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Computer Methods in Biomechanics & Biomedical Engineering, Data Mining and Knowledge Discovery, Nature and Frontiers in Behavioral Neuroscience.
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.