Yi Guo
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Information Systems and Management top 0.5%
- Technology Adoption and User Behaviour
Papers in ⓘ
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- Biomedical Text Mining and Ontologies 20
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- Machine Learning in Healthcare 12
- Co-authors
- Jiang Bian (109 shared papers)Chung-Tzer Liu (3 shared papers)Marshall Scott Poole (2 shared papers)Elizabeth Shenkman (37 shared papers)Keith E. Muller (10 shared papers)Mattia Prosperi (26 shared papers)Henrietta L. Logan (14 shared papers)Young K. Ro (5 shared papers)
- Journals
- Journal of the Association for Information Systems (8 papers)Journal of the American Medical Informatics Association (5 papers)Journal of Biomedical Informatics (5 papers)BMC Medical Informatics and Decision Making (4 papers)Cancer Medicine (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yi Guo
234 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Health Informatics 175
- Information Systems and Management 472
- Organizational Behavior and Human Resource Management 383
- Marketing 312
- Periodontics 151
Countries citing papers authored by Yi Guo
This map shows the geographic impact of Yi 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 Yi Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Guo more than expected).
Fields of papers citing papers by Yi Guo
This network shows the impact of papers produced by Yi 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 Yi Guo. The network helps show where Yi Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 262 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 381 | |
| 2 | Causal inference and counterfactual prediction in machine learning for actionable healthcare Hit paper breakdown → | 2020 | 219 |
| 3 | 2008 | 214 | |
| 4 | 2023 | 186 | |
| 5 | 2018 | 163 | |
| 6 | 2012 | 87 | |
| 7 | 2014 | 80 | |
| 8 | 2020 | 79 | |
| 9 | 2017 | 72 | |
| 10 | 2016 | 69 | |
| 11 | The Effects of Flow on Learning Outcomes in an Online Information Management Course. | 2009 | 67 |
| 12 | 2018 | 65 | |
| 13 | 2020 | 59 | |
| 14 | 2023 | 51 | |
| 15 | 2018 | 51 | |
| 16 | 2020 | 51 | |
| 17 | 2008 | 48 | |
| 18 | 2017 | 42 | |
| 19 | 2021 | 40 | |
| 20 | 2018 | 39 |
About Yi Guo
Yi Guo is a scholar working on Molecular Biology, Artificial Intelligence, Oncology, General Health Professions and Pulmonary and Respiratory Medicine, having authored 262 papers that have together received 4.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (20 papers), Global Cancer Incidence and Screening (16 papers), Technology Adoption and User Behaviour (13 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Machine Learning in Healthcare (12 papers), Flow Experience in Various Fields (12 papers), Health disparities and outcomes (11 papers) and Lung Cancer Diagnosis and Treatment (10 papers). The work is most often cited by research in Health Informatics (175 citations), Information Systems and Management (472 citations), Organizational Behavior and Human Resource Management (383 citations), Marketing (312 citations) and Periodontics (151 citations). Yi Guo has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jiang Bian, Chung-Tzer Liu, Marshall Scott Poole, Elizabeth Shenkman, Keith E. Muller, Mattia Prosperi, Henrietta L. Logan, Young K. Ro, William R. Hogan and Barbara Klein. Their work appears in journals such as Journal of the Association for Information Systems, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making and Cancer Medicine.
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.