Hsin‐Hung Wu
Impact in
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- Multi-Criteria Decision Making
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- Quality Function Deployment in Product Design
Papers in
- Pharmacy 24
- Medical Malpractice and Liability Issues 24
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- Occupational Health and Safety Research 21
- Co-authors
- Jiunn-I ShiehKuan-Kai HuangYii-Ching LeeChih‐Hsuan HuangShih‐Yen LinGuang‐Perng YehTsai‐Chi KuoEn‐Chi Chang
In The Last Decade
Hsin‐Hung Wu
161 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Management Science and Operations Research 850
- Management of Technology and Innovation 441
- Marketing 518
- Organizational Behavior and Human Resource Management 457
- Management Information Systems 376
Countries citing papers authored by Hsin‐Hung Wu
This map shows the geographic impact of Hsin‐Hung 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 Hsin‐Hung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Hung Wu more than expected).
Fields of papers citing papers by Hsin‐Hung Wu
This network shows the impact of papers produced by Hsin‐Hung 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 Hsin‐Hung Wu. The network helps show where Hsin‐Hung Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hsin‐Hung 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 10 | |
| 12 | 2019 | 16 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 14 | |
| 15 | 2019 | 31 | |
| 16 | 2019 | 8 | |
| 17 | 2018 | 10 | |
| 18 | 2017 | 5 | |
| 19 | 2016 | 9 | |
| 20 | 2014 | 17 |
About Hsin‐Hung Wu
Hsin‐Hung Wu is a scholar working on Pharmacy, Radiological and Ultrasound Technology, Organizational Behavior and Human Resource Management, Emergency Medical Services and Management of Technology and Innovation, having authored 169 papers that have together received 3.4k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (32 papers), Multi-Criteria Decision Making (27 papers), Patient Safety and Medication Errors (26 papers), Medical Malpractice and Liability Issues (24 papers), Quality Function Deployment in Product Design (21 papers), Occupational Health and Safety Research (21 papers), Customer churn and segmentation (14 papers) and Consumer Retail Behavior Studies (14 papers). The work is most often cited by research in Management Science and Operations Research (850 citations), Management of Technology and Innovation (441 citations), Marketing (518 citations), Organizational Behavior and Human Resource Management (457 citations) and Management Information Systems (376 citations). Hsin‐Hung Wu has collaborated with scholars based in Taiwan, China and Indonesia. Frequent co-authors include Jiunn-I Shieh, Kuan-Kai Huang, Yii-Ching Lee, Chih‐Hsuan Huang, Shih‐Yen Lin, Guang‐Perng Yeh, Tsai‐Chi Kuo, En‐Chi Chang, Horng‐Der Tsai and Wen‐Tsann Lin. Their work appears in journals such as Quality & Quantity, The International Journal of Advanced Manufacturing Technology, Expert Systems with Applications, Journal of Testing and Evaluation and The TQM Journal.
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.