Ka Ching Chan
Impact in
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- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Advanced Manufacturing and Logistics Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
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- Blockchain Technology Applications and Security 7
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- Manufacturing Process and Optimization 8
- Digital Transformation in Industry 4
- Co-authors
- Sami Kara (3 shared papers)Sean Haythorne (2 shared papers)Damien A. Fordham (1 shared paper)Barry W. Brook (1 shared paper)Bette L. Otto‐Bliesner (1 shared paper)T. M. L. Wigley (1 shared paper)Frédérik Saltré (1 shared paper)Richard J. Linn (1 shared paper)
In The Last Decade
Ka Ching Chan
63 papers receiving 1.1k citations
Ka Ching Chan's Hit Papers
Peers
Comparison fields: 5 of 138
- Industrial and Manufacturing Engineering 330
- Ecological Modeling 65
- Management Information Systems 114
- Management of Technology and Innovation 55
- Paleontology 43
Countries citing papers authored by Ka Ching Chan
This map shows the geographic impact of Ka Ching Chan'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 Ka Ching Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka Ching Chan more than expected).
Fields of papers citing papers by Ka Ching Chan
This network shows the impact of papers produced by Ka Ching Chan. 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 Ka Ching Chan. The network helps show where Ka Ching Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ka Ching Chan, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Manufacturing big data ecosystem: A systematic literature review Hit paper breakdown → | 2019 | 230 |
| 2 | 2017 | 194 | |
| 3 | 2009 | 123 | |
| 4 | 1994 | 52 | |
| 5 | 2019 | 51 | |
| 6 | 1998 | 43 | |
| 7 | 2023 | 33 | |
| 8 | 2021 | 31 | |
| 9 | 1996 | 30 | |
| 10 | 2024 | 26 | |
| 11 | 1990 | 25 | |
| 12 | 2013 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 1991 | 14 | |
| 17 | 1996 | 13 | |
| 18 | 2024 | 12 | |
| 19 | 2012 | 12 | |
| 20 | 1993 | 11 |
About Ka Ching Chan
Ka Ching Chan is a scholar working on Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, Management Information Systems and Control and Systems Engineering, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (8 papers), Blockchain Technology Applications and Security (7 papers), Imbalanced Data Classification Techniques (5 papers), Big Data and Business Intelligence (5 papers), Mobile Health and mHealth Applications (4 papers), Financial Distress and Bankruptcy Prediction (4 papers), Digital Transformation in Industry (4 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (330 citations), Ecological Modeling (65 citations), Management Information Systems (114 citations), Management of Technology and Innovation (55 citations) and Paleontology (43 citations). Ka Ching Chan has collaborated with scholars based in Australia, India and Canada. Frequent co-authors include Sami Kara, Sean Haythorne, Damien A. Fordham, Barry W. Brook, Bette L. Otto‐Bliesner, T. M. L. Wigley, Frédérik Saltré, Richard J. Linn, H. E. Ozkan and Yang Yu. Their work appears in journals such as Computers & Industrial Engineering, British Food Journal, PeerJ Computer Science, Computer Applications in Engineering Education and Computers in Industry.
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.