Han‐I Wang
Impact in
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- Vaccine Coverage and Hesitancy
Papers in
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- Autism Spectrum Disorder Research 6
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- Health Systems, Economic Evaluations, Quality of Life 6
- Economic and Financial Impacts of Cancer 2
- Co-authors
- Eve Roman (4 shared papers)Alexandra G. Smith (4 shared papers)Debra A. Howell (4 shared papers)Russell D. Patmore (4 shared papers)Martin R. Howard (1 shared paper)Sally E. Kinsey (1 shared paper)Daniel Painter (1 shared paper)Cathy Burton (1 shared paper)
- Journals
- Health Technology Assessment (2 papers)Value in Health (2 papers)Blood (1 paper)International Journal of Epidemiology (1 paper)The Lancet Global Health (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Han‐I Wang
31 papers receiving 314 citations
Peers
Comparison fields: 5 of 68
- Health 36
- Applied Psychology 13
- Hematology 26
- Experimental and Cognitive Psychology 28
- Neurology 18
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2021 | 37 | |
| 3 | 2013 | 33 | |
| 4 | 2014 | 20 | |
| 5 | 2024 | 20 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2024 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 11 | |
| 11 | 2009 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Han‐I Wang
Han‐I Wang is a scholar working on Cognitive Neuroscience, Economics and Econometrics, Physiology, Experimental and Cognitive Psychology and Emergency Medicine, having authored 32 papers that have together received 324 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Autism Spectrum Disorder Research (6 papers), Smoking Behavior and Cessation (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Economic and Financial Impacts of Cancer (2 papers), Mental Health Treatment and Access (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Hematological disorders and diagnostics (2 papers). The work is most often cited by research in Health (36 citations), Applied Psychology (13 citations), Hematology (26 citations), Experimental and Cognitive Psychology (28 citations) and Neurology (18 citations). Han‐I Wang has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Eve Roman, Alexandra G. Smith, Debra A. Howell, Russell D. Patmore, Martin R. Howard, Sally E. Kinsey, Daniel Painter, Cathy Burton, Simon Crouch and Simon M. Gilbody. Their work appears in journals such as Health Technology Assessment, Value in Health, Blood, International Journal of Epidemiology and The Lancet Global Health.
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.