Boyi Guo
Impact in
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- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 3
- Gut microbiota and health 3
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- Nutritional Studies and Diet 3
- Co-authors
- Nengjun Yi (7 shared papers)Xinyan Zhang (4 shared papers)Masooda Bashir (3 shared papers)Zaixiang Tang (2 shared papers)Nasir Memon (2 shared papers)Yu‐Fang Pei (1 shared paper)Wenzhuo Zhuang (1 shared paper)Lei Zhang (1 shared paper)
- Journals
- PLoS ONE (2 papers)Bioinformatics (2 papers)Nature Methods (1 paper)Circulation Cardiovascular Quality and Outcomes (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Boyi Guo
22 papers receiving 276 citations
Peers
Comparison fields: 5 of 94
- Biological Psychiatry 6
- Statistics and Probability 18
- Information Systems 42
- Computer Science Applications 10
- Computational Mathematics 1
Countries citing papers authored by Boyi Guo
This map shows the geographic impact of Boyi Guo'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 Boyi Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boyi Guo more than expected).
Fields of papers citing papers by Boyi Guo
This network shows the impact of papers produced by Boyi Guo. 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 Boyi Guo. The network helps show where Boyi Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Boyi Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2018 | 31 | |
| 3 | 2016 | 30 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 20 | |
| 6 | 2020 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2019 | 12 | |
| 9 | 2020 | 11 | |
| 10 | An examination of the vocational and psychological characteristics of cybersecurity competition participants | 2015 | 11 |
| 11 | 2022 | 9 | |
| 12 | 2015 | 9 | |
| 13 | 2025 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 3 |
About Boyi Guo
Boyi Guo is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Information Systems, Surgery and Oncology, having authored 24 papers that have together received 281 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (3 papers), Information and Cyber Security (3 papers), Nutritional Studies and Diet (3 papers), Gut microbiota and health (3 papers), Cybercrime and Law Enforcement Studies (3 papers), Statistical Methods and Inference (2 papers) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Biological Psychiatry (6 citations), Statistics and Probability (18 citations), Information Systems (42 citations), Computer Science Applications (10 citations) and Computational Mathematics (1 citation). Boyi Guo has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Nengjun Yi, Xinyan Zhang, Masooda Bashir, Zaixiang Tang, Nasir Memon, Yu‐Fang Pei, Wenzhuo Zhuang, Lei Zhang, D. Leann Long and Suzanne E. Judd. Their work appears in journals such as PLoS ONE, Bioinformatics, Nature Methods, Circulation Cardiovascular Quality and Outcomes and The Journal of Clinical Endocrinology & Metabolism.
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.