Kin-Fan Au
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Electrical and Electronic Engineering
- Management Information Systems top 5%
- Marketing top 10%
- Topics
- Global trade and economics (4 papers)Forecasting Techniques and Applications (3 papers)Stock Market Forecasting Methods (3 papers)
- Cited by
- Management Science and Operations ResearchManagement Information SystemsArtificial Intelligence
In The Last Decade
Kin-Fan Au
7 papers receiving 624 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 272
- Management Science and Operations Research 264
- Electrical and Electronic Engineering 146
- Management Information Systems 88
- Marketing 53
Countries citing papers authored by Kin-Fan Au
This map shows the geographic impact of Kin-Fan Au'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 Kin-Fan Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kin-Fan Au more than expected).
Fields of papers citing papers by Kin-Fan Au
This network shows the impact of papers produced by Kin-Fan Au. 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 Kin-Fan Au. The network helps show where Kin-Fan Au may publish in the future.
Co-authorship network of co-authors of Kin-Fan Au
This figure shows the co-authorship network connecting the top 25 collaborators of Kin-Fan Au. A scholar is included among the top collaborators of Kin-Fan Au based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kin-Fan Au. Kin-Fan Au is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 109 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 320 | |
| 5 | 103 | |
| 6 | 112 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 |
About Kin-Fan Au
Kin-Fan Au is a scholar working on General Economics, Econometrics and Finance, Management Science and Operations Research and Strategy and Management, having authored 9 papers that have together received 653 indexed citations. Recurring topics across this work include Global trade and economics (4 papers), Forecasting Techniques and Applications (3 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Management Science and Operations Research (264 citations), Management Information Systems (88 citations) and Artificial Intelligence (272 citations). Kin-Fan Au has collaborated with scholars based in Hong Kong and Singapore. Frequent co-authors include Tsan‐Ming Choi, Yong Yu, Zhan-Li Sun and Kwok‐Wing Yeung. Their work appears in journals such as International Journal of Production Economics, Decision Support Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.