Shih‐Wei Wu
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies
- Motor Control and Adaptation
- Visual perception and processing mechanisms
- Neural dynamics and brain function
Papers in
-
- Neural and Behavioral Psychology Studies 10
- Neural dynamics and brain function 4
- Motor Control and Adaptation 4
- Co-authors
- Laurence T. Maloney (7 shared papers)Mauricio R. Delgado (2 shared papers)Fengyi Lin (3 shared papers)Hang Zhang (1 shared paper)Mark Dean (1 shared paper)Philip Tseng (1 shared paper)Jiaxin Yu (1 shared paper)Daisy L. Hung (1 shared paper)
- Journals
- Sustainability (5 papers)Journal of Vision (3 papers)Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Buildings (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shih‐Wei Wu
33 papers receiving 609 citations
Peers
Comparison fields: 5 of 99
- General Decision Sciences 74
- Cognitive Neuroscience 336
- Accounting 77
- Marketing 56
- Neurology 40
Countries citing papers authored by Shih‐Wei Wu
This map shows the geographic impact of Shih‐Wei Wu'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 Shih‐Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Wei Wu more than expected).
Fields of papers citing papers by Shih‐Wei Wu
This network shows the impact of papers produced by Shih‐Wei Wu. 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 Shih‐Wei Wu. The network helps show where Shih‐Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih‐Wei Wu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 93 | |
| 2 | 2015 | 58 | |
| 3 | 2010 | 57 | |
| 4 | 2007 | 52 | |
| 5 | 2011 | 44 | |
| 6 | 2014 | 42 | |
| 7 | 2006 | 34 | |
| 8 | 2023 | 32 | |
| 9 | 2015 | 25 | |
| 10 | 2023 | 23 | |
| 11 | 2009 | 18 | |
| 12 | 2018 | 18 | |
| 13 | 2012 | 18 | |
| 14 | 2018 | 16 | |
| 15 | 2012 | 15 | |
| 16 | 2022 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 8 |
About Shih‐Wei Wu
Shih‐Wei Wu is a scholar working on Cognitive Neuroscience, Economics and Econometrics, Accounting, Strategy and Management and Finance, having authored 36 papers that have together received 632 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (10 papers), Decision-Making and Behavioral Economics (6 papers), Corporate Finance and Governance (6 papers), Financial Markets and Investment Strategies (5 papers), Neural dynamics and brain function (4 papers), Motor Control and Adaptation (4 papers), Auditing, Earnings Management, Governance (3 papers) and Environmental Sustainability in Business (2 papers). The work is most often cited by research in General Decision Sciences (74 citations), Cognitive Neuroscience (336 citations), Accounting (77 citations), Marketing (56 citations) and Neurology (40 citations). Shih‐Wei Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Laurence T. Maloney, Mauricio R. Delgado, Fengyi Lin, Hang Zhang, Mark Dean, Philip Tseng, Jiaxin Yu, Daisy L. Hung, Chi‐Hung Juan and Julia Trommershäuser. Their work appears in journals such as Sustainability, Journal of Vision, Journal of Neuroscience, Proceedings of the National Academy of Sciences and Buildings.
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.