Chris Liu
Impact in
Papers in
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- Blockchain Technology Applications and Security 7
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- Business Process Modeling and Analysis 4
- Co-authors
- Roi Baer (2 shared papers)Daniel Neuhauser (2 shared papers)Jeffrey I. Zink (1 shared paper)M. Frederick Hawthorne (1 shared paper)Michael J. Bayer (1 shared paper)Ester Livshits (1 shared paper)Derek Walter (1 shared paper)Laura Hurd Clarke (1 shared paper)
- Journals
- Blockchain Research and Applications (2 papers)Nature Communications (1 paper)Science (1 paper)Infectious Diseases and Therapy (1 paper)Journal of Infection (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Chris Liu
23 papers receiving 510 citations
Peers
Comparison fields: 5 of 100
- Neuropsychology and Physiological Psychology 16
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 134
- Organic Chemistry 161
- Inorganic Chemistry 74
Countries citing papers authored by Chris Liu
This map shows the geographic impact of Chris Liu'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 Chris Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Liu more than expected).
Fields of papers citing papers by Chris Liu
This network shows the impact of papers produced by Chris Liu. 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 Chris Liu. The network helps show where Chris Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Liu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 313 | |
| 2 | 2003 | 69 | |
| 3 | 2014 | 43 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 12 | |
| 6 | 2018 | 12 | |
| 7 | 2022 | 8 | |
| 8 | 2012 | 7 | |
| 9 | 2007 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2010 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Chris Liu
Chris Liu is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Computer Networks and Communications and Strategy and Management, having authored 25 papers that have together received 523 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), Business Process Modeling and Analysis (4 papers), Auction Theory and Applications (2 papers), Advanced Software Engineering Methodologies (2 papers), Hepatitis C virus research (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Supramolecular Chemistry and Complexes (1 paper) and Media, Gender, and Advertising (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (16 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Organic Chemistry (161 citations) and Inorganic Chemistry (74 citations). Chris Liu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Roi Baer, Daniel Neuhauser, Jeffrey I. Zink, M. Frederick Hawthorne, Michael J. Bayer, Ester Livshits, Derek Walter, Laura Hurd Clarke, Erica Bennett and Peter Bodorik. Their work appears in journals such as Blockchain Research and Applications, Nature Communications, Science, Infectious Diseases and Therapy and Journal of Infection.
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.