C.H. Wu
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- Advanced Manufacturing and Logistics Optimization 8
- Digital Transformation in Industry 8
- Industrial Vision Systems and Defect Detection 8
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- Supply Chain and Inventory Management 7
- Information Systems top 1%
- Blockchain Technology Applications and Security 16
- Human-Computer Interaction top 5%
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- Food Supply Chain Traceability 10
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- Sustainable Supply Chain Management 8
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- IoT and Edge/Fog Computing 7
C.H. Wu
118 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Industrial and Manufacturing Engineering 372
- Management Information Systems 277
- Information Systems 599
- Business and International Management 45
- Human-Computer Interaction 124
Countries citing papers authored by C.H. Wu
This map shows the geographic impact of C.H. 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 C.H. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.H. Wu more than expected).
Fields of papers citing papers by C.H. Wu
This network shows the impact of papers produced by C.H. 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 C.H. Wu. The network helps show where C.H. Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C.H. 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 52 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 34 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 54 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 34 | |
| 19 | 2020 | 87 | |
| 20 | 2019 | 62 |
About C.H. Wu
C.H. Wu is a scholar working on Industrial and Manufacturing Engineering, Media Technology, Management Information Systems, Research and Theory and Computer Vision and Pattern Recognition, having authored 131 papers that have together received 2.7k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (16 papers), Food Supply Chain Traceability (10 papers), Advanced Manufacturing and Logistics Optimization (8 papers), Digital Transformation in Industry (8 papers), Industrial Vision Systems and Defect Detection (8 papers), Sustainable Supply Chain Management (8 papers), IoT and Edge/Fog Computing (7 papers) and Supply Chain and Inventory Management (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (372 citations), Management Information Systems (277 citations), Information Systems (599 citations), Business and International Management (45 citations) and Human-Computer Interaction (124 citations). C.H. Wu has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include G.T.S. Ho, Yung Po Tsang, W.H. Ip, H.Y. Lam, K.L. Choy, Yuk Ming Tang, Na Dong, Kai Leung Yung, Yui‐yip Lau and Kris M. Y. Law. Their work appears in journals such as Enterprise Information Systems, Industrial Management & Data Systems, Expert Systems with Applications, Journal of Global Information Management and Journal of Organizational and End User Computing.
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.