Bichen Zheng
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 2%
- AI in cancer detection
- Imbalanced Data Classification Techniques
- Machine Learning in Healthcare
Papers in
-
- AI in cancer detection 2
- Surgery 2
- Co-authors
- Sang Won Yoon (5 shared papers)Sarah S. Lam (2 shared papers)Hoo Sang Ko (1 shared paper)Haifeng Wang (1 shared paper)Mohammad T. Khasawneh (3 shared papers)Jinghe Zhang (1 shared paper)Bingwei Liu (1 shared paper)
- Journals
- Expert Systems with Applications (2 papers)Operations Research for Health Care (2 papers)European Journal of Operational Research (1 paper)International Journal of Internet Technology and Secured Transactions (1 paper)
- Partner nations
- United States
In The Last Decade
Bichen Zheng
7 papers receiving 855 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Health Information Management 241
- Artificial Intelligence 609
- Health Informatics 16
- Neurology 70
- Emergency Medical Services 56
Countries citing papers authored by Bichen Zheng
This map shows the geographic impact of Bichen Zheng'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 Bichen Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bichen Zheng more than expected).
Fields of papers citing papers by Bichen Zheng
This network shows the impact of papers produced by Bichen Zheng. 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 Bichen Zheng. The network helps show where Bichen Zheng may publish in the future.
Co-authors
The 7 scholars most cited alongside Bichen Zheng, 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 | Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms Hit paper breakdown → | 2013 | 407 |
| 2 | A support vector machine-based ensemble algorithm for breast cancer diagnosis Hit paper breakdown → | 2017 | 320 |
| 3 | 2015 | 93 | |
| 4 | 2015 | 34 | |
| 5 | 2014 | 21 | |
| 6 | 2018 | 11 | |
| 7 | 2019 | 5 |
About Bichen Zheng
Bichen Zheng is a scholar working on Artificial Intelligence, Surgery, Molecular Biology, Emergency Medicine and Emergency Medical Services, having authored 7 papers that have together received 891 indexed citations. Recurring topics across this work include Hospital Admissions and Outcomes (2 papers), AI in cancer detection (2 papers), Healthcare Operations and Scheduling Optimization (2 papers), Gene expression and cancer classification (2 papers), Artificial Intelligence in Healthcare (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper), Heart Failure Treatment and Management (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Health Information Management (241 citations), Artificial Intelligence (609 citations), Health Informatics (16 citations), Neurology (70 citations) and Emergency Medical Services (56 citations). Bichen Zheng has collaborated with scholars based in United States. Frequent co-authors include Sang Won Yoon, Sarah S. Lam, Hoo Sang Ko, Haifeng Wang, Mohammad T. Khasawneh, Jinghe Zhang and Bingwei Liu. Their work appears in journals such as Expert Systems with Applications, Operations Research for Health Care, European Journal of Operational Research and International Journal of Internet Technology and Secured Transactions.
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.