Chris Liu
- Organic Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Materials Chemistry
- Electrical and Electronic Engineering
- Spectroscopy top 10%
- Co-authors
- Roi BaerDaniel NeuhauserMichael J. BayerJeffrey I. ZinkEster LivshitsM. Frederick HawthorneDerek WalterErica Bennett
- Topics
- Blockchain Technology Applications and Security (7 papers)Business Process Modeling and Analysis (4 papers)Liver Disease Diagnosis and Treatment (2 papers)
- Cited by
- Neuropsychology and Physiological PsychologyHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Chris Liu
22 papers receiving 503 citations
Peers
Comparison fields: 5 of 102
- Organic Chemistry 161
- Radiology, Nuclear Medicine and Imaging 137
- Materials Chemistry 123
- Electrical and Electronic Engineering 94
- Spectroscopy 75
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-authorship network of co-authors of Chris Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Liu. A scholar is included among the top collaborators of Chris Liu 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 Chris Liu. Chris Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 43 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 69 |
About Chris Liu
Chris Liu is a scholar working on Health Informatics, Neuropsychology and Physiological Psychology and Management Information Systems, having authored 25 papers that have together received 517 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), Business Process Modeling and Analysis (4 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (16 citations), Health Informatics (9 citations) and Radiology, Nuclear Medicine and Imaging (137 citations). Chris Liu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Roi Baer, Daniel Neuhauser, Michael J. Bayer, Jeffrey I. Zink, Ester Livshits, M. Frederick Hawthorne, Derek Walter, Erica Bennett, Laura Hurd Clarke and Peter Bodorik. Their work appears in journals such as Science, Journal of the American Chemical Society and Nature Communications.
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.