Diyue Bu
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
Papers in
-
- Privacy-Preserving Technologies in Data 6
- Cryptography and Data Security 2
- Adversarial Robustness in Machine Learning 1
-
- Cancer Genomics and Diagnostics 5
- Co-authors
- Haixu Tang (10 shared papers)Yongan Zhao (2 shared papers)Xiao Wang (1 shared paper)Yan Huang (1 shared paper)Xiaofeng Wang (1 shared paper)Xiaoqian Jiang (5 shared papers)Shuang Wang (3 shared papers)Lucila Ohno‐Machado (4 shared papers)
- Journals
- Journal of the American Medical Informatics Association (2 papers)npj Genomic Medicine (1 paper)BMC Medical Genomics (1 paper)Bioinformatics (1 paper)PubMed (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Diyue Bu
11 papers receiving 248 citations
Peers
Comparison fields: 5 of 44
- Health Informatics 7
- Artificial Intelligence 175
- Cancer Research 34
- Public Health, Environmental and Occupational Health 54
- Information Systems 35
Countries citing papers authored by Diyue Bu
This map shows the geographic impact of Diyue Bu'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 Diyue Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diyue Bu more than expected).
Fields of papers citing papers by Diyue Bu
This network shows the impact of papers produced by Diyue Bu. 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 Diyue Bu. The network helps show where Diyue Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Diyue Bu, 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 | 2015 | 79 | |
| 2 | 2016 | 62 | |
| 3 | 2020 | 41 | |
| 4 | 2017 | 28 | |
| 5 | 2022 | 14 | |
| 6 | 2018 | 14 | |
| 7 | 2021 | 8 | |
| 8 | Real-time Protection of Genomic Data Sharing in Beacon Services. | 2018 | 4 |
| 9 | 2017 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2017 | 1 |
About Diyue Bu
Diyue Bu is a scholar working on Artificial Intelligence, Cancer Research, Public Health, Environmental and Occupational Health, Genetics and Infectious Diseases, having authored 11 papers that have together received 253 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Cancer Genomics and Diagnostics (5 papers), Ethics in Clinical Research (4 papers), Genomics and Rare Diseases (2 papers), Cryptography and Data Security (2 papers), Advanced Causal Inference Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (175 citations), Cancer Research (34 citations), Public Health, Environmental and Occupational Health (54 citations) and Information Systems (35 citations). Diyue Bu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Haixu Tang, Yongan Zhao, Xiao Wang, Yan Huang, Xiaofeng Wang, Xiaoqian Jiang, Shuang Wang, Lucila Ohno‐Machado, Xiaofeng Wang and Xiaofeng Wang. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Genomic Medicine, BMC Medical Genomics, Bioinformatics and PubMed.
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.