Leong Chan
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Innovation and Knowledge Management 5
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- Innovation Policy and R&D 3
- Co-authors
- Renzhi Cao (7 shared papers)Tuğrul Daim (8 shared papers)Zhangxin Chen (1 shared paper)Jie Zhang (1 shared paper)Jason Rowland (1 shared paper)Ian G. Morgan (1 shared paper)James W. Gentry (1 shared paper)Bing‐Wu Wang (1 shared paper)
- Journals
- Current Drug Metabolism (1 paper)Futures (1 paper)R and D Management (1 paper)The Journal of Chemical Physics (1 paper)Molecules (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Leong Chan
22 papers receiving 490 citations
Peers
Comparison fields: 5 of 106
- Health Informatics 8
- Computational Theory and Mathematics 87
- Molecular Biology 251
- Management of Technology and Innovation 25
- Strategy and Management 48
Countries citing papers authored by Leong Chan
This map shows the geographic impact of Leong 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 Leong Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leong Chan more than expected).
Fields of papers citing papers by Leong Chan
This network shows the impact of papers produced by Leong 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 Leong Chan. The network helps show where Leong Chan may publish in the future.
Co-authors
The 18 scholars most cited alongside Leong 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 153 | |
| 2 | 2018 | 149 | |
| 3 | 2012 | 43 | |
| 4 | 2019 | 41 | |
| 5 | 2011 | 23 | |
| 6 | 2017 | 16 | |
| 7 | 2009 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 7 | |
| 11 | 2004 | 6 | |
| 12 | 2011 | 6 | |
| 13 | 2012 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2011 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 1999 | 3 | |
| 20 | 2009 | 2 |
About Leong Chan
Leong Chan is a scholar working on Strategy and Management, Economics and Econometrics, Management of Technology and Innovation, Management Science and Operations Research and Molecular Biology, having authored 22 papers that have together received 509 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (5 papers), Machine Learning in Bioinformatics (3 papers), Innovation Policy and R&D (3 papers), Biotechnology and Related Fields (3 papers), Innovation Diffusion and Forecasting (2 papers), Electronic Health Records Systems (2 papers), Intellectual Property and Patents (2 papers) and Socioeconomic Development in Asia (2 papers). The work is most often cited by research in Health Informatics (8 citations), Computational Theory and Mathematics (87 citations), Molecular Biology (251 citations), Management of Technology and Innovation (25 citations) and Strategy and Management (48 citations). Leong Chan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Renzhi Cao, Tuğrul Daim, Zhangxin Chen, Jie Zhang, Jason Rowland, Ian G. Morgan, James W. Gentry, Bing‐Wu Wang, David E. McNabb and Hanfei Mei. Their work appears in journals such as Current Drug Metabolism, Futures, R and D Management, The Journal of Chemical Physics and Molecules.
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.