Han‐I Wang
Impact in
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- Vaccine Coverage and Hesitancy
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- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
Papers in
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- Computational Physics and Python Applications 2
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- Smoking Behavior and Cessation 3
- Co-authors
- Debra Howell (4 shared papers)Russell Patmore (4 shared papers)Eve Roman (4 shared papers)Alexandra Smith (4 shared papers)Martin Howard (1 shared paper)Andrew Jack (1 shared paper)Eline Aas (1 shared paper)Sally E. Kinsey (1 shared paper)
- Journals
- Value in Health (3 papers)The Lancet Global Health (1 paper)International Journal of Epidemiology (1 paper)BMC Psychiatry (1 paper)Blood (1 paper)
- Partner nations
- United KingdomTaiwanAustralia
In The Last Decade
Han‐I Wang
21 papers receiving 208 citations
Peers
Comparison fields: 5 of 59
- Health 32
- Hematology 25
- Modeling and Simulation 7
- Public Health, Environmental and Occupational Health 31
- Genetics 11
Countries citing papers authored by Han‐I Wang
This map shows the geographic impact of Han‐I Wang'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 Han‐I Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han‐I Wang more than expected).
Fields of papers citing papers by Han‐I Wang
This network shows the impact of papers produced by Han‐I Wang. 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 Han‐I Wang. The network helps show where Han‐I Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Han‐I Wang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 36 | |
| 2 | 2013 | 34 | |
| 3 | 2021 | 33 | |
| 4 | 2014 | 18 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2009 | 10 | |
| 9 | 2017 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2013 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2022 | 1 |
About Han‐I Wang
Han‐I Wang is a scholar working on Artificial Intelligence, Physiology, Neurology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 23 papers that have together received 217 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (3 papers), Autism Spectrum Disorder Research (2 papers), Long-Term Effects of COVID-19 (2 papers), Computational Physics and Python Applications (2 papers), Acute Myeloid Leukemia Research (1 paper), Vaccine Coverage and Hesitancy (1 paper), Cancer Genomics and Diagnostics (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Health (32 citations), Hematology (25 citations), Modeling and Simulation (7 citations), Public Health, Environmental and Occupational Health (31 citations) and Genetics (11 citations). Han‐I Wang has collaborated with scholars based in United Kingdom, Taiwan and Australia. Frequent co-authors include Debra Howell, Russell Patmore, Eve Roman, Alexandra Smith, Martin Howard, Andrew Jack, Eline Aas, Sally E. Kinsey, Cathy Burton and Simon Appleton. Their work appears in journals such as Value in Health, The Lancet Global Health, International Journal of Epidemiology, BMC Psychiatry and Blood.
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.