Simon Liu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in ⓘ
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Intracerebral and Subarachnoid Hemorrhage Research 3
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- Big Data and Business Intelligence 3
- Co-authors
- Rick Kuhn (5 shared papers)Rodney M. Ritzel (3 shared papers)Junyun He (3 shared papers)Yun Li (3 shared papers)Junfang Wu (3 shared papers)Boris Sabirzhanov (2 shared papers)Tuoxin Cao (2 shared papers)David J. Loane (1 shared paper)
- Journals
- IT Professional (21 papers)IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (1 paper)BMJ Open (1 paper)Frontiers in Immunology (1 paper)Genetics in Medicine (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Simon Liu
39 papers receiving 532 citations
Peers
Comparison fields: 5 of 124
- Neurology 130
- Developmental Neuroscience 31
- Health Informatics 8
- Pathology and Forensic Medicine 97
- Management Information Systems 42
Countries citing papers authored by Simon Liu
This map shows the geographic impact of Simon 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 Simon Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Liu more than expected).
Fields of papers citing papers by Simon Liu
This network shows the impact of papers produced by Simon 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 Simon Liu. The network helps show where Simon Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2010 | 54 | |
| 3 | 2020 | 47 | |
| 4 | 2022 | 29 | |
| 5 | 2022 | 22 | |
| 6 | 2000 | 21 | |
| 7 | 2009 | 19 | |
| 8 | 2003 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2024 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 1985 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2022 | 7 |
About Simon Liu
Simon Liu is a scholar working on Neurology, Management Information Systems, Information Systems, Information Systems and Management and Development, having authored 41 papers that have together received 562 indexed citations. Recurring topics across this work include Information and Cyber Security (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Big Data and Business Intelligence (3 papers), AI in cancer detection (3 papers), Spinal Cord Injury Research (3 papers), Software Engineering Techniques and Practices (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Neurology (130 citations), Developmental Neuroscience (31 citations), Health Informatics (8 citations), Pathology and Forensic Medicine (97 citations) and Management Information Systems (42 citations). Simon Liu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Rick Kuhn, Rodney M. Ritzel, Junyun He, Yun Li, Junfang Wu, Boris Sabirzhanov, Tuoxin Cao, David J. Loane, Alan I. Faden and Hui Li. Their work appears in journals such as IT Professional, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, BMJ Open, Frontiers in Immunology and Genetics in Medicine.
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.