Nathan Liu
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
Papers in
-
- Advanced Graph Neural Networks 3
- Co-authors
- Qiang Yang (2 shared papers)Weike Pan (1 shared paper)Evan Wei Xiang (1 shared paper)Adham S. Bear (1 shared paper)Carmen M. López (1 shared paper)John T. Vaughey (1 shared paper)Aaron E. Foster (1 shared paper)Andrew N. Jansen (1 shared paper)
- Journals
- Nanoscale (2 papers)PLoS ONE (2 papers)Information Sciences (1 paper)Artificial Intelligence in Medicine (1 paper)Journal of Endourology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Nathan Liu
25 papers receiving 871 citations
Peers
Comparison fields: 5 of 126
- Information Systems 245
- Automotive Engineering 105
- Artificial Intelligence 218
- Computational Mathematics 4
- Health Informatics 8
Countries citing papers authored by Nathan Liu
This map shows the geographic impact of Nathan 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 Nathan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Liu more than expected).
Fields of papers citing papers by Nathan Liu
This network shows the impact of papers produced by Nathan 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 Nathan Liu. The network helps show where Nathan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 250 | |
| 2 | 2013 | 135 | |
| 3 | 2012 | 114 | |
| 4 | 2013 | 45 | |
| 5 | 2008 | 45 | |
| 6 | 2020 | 41 | |
| 7 | 2008 | 35 | |
| 8 | 2016 | 34 | |
| 9 | 2015 | 26 | |
| 10 | 2015 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2017 | 17 | |
| 13 | 2024 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2008 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2010 | 11 | |
| 19 | 2015 | 8 | |
| 20 | 2016 | 8 |
About Nathan Liu
Nathan Liu is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Hematology, Information Systems and Surgery, having authored 26 papers that have together received 894 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (3 papers), Iron Metabolism and Disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Air Quality and Health Impacts (2 papers), ECG Monitoring and Analysis (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Nanoparticles: synthesis and applications (2 papers). The work is most often cited by research in Information Systems (245 citations), Automotive Engineering (105 citations), Artificial Intelligence (218 citations), Computational Mathematics (4 citations) and Health Informatics (8 citations). Nathan Liu has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Qiang Yang, Weike Pan, Evan Wei Xiang, Adham S. Bear, Carmen M. López, John T. Vaughey, Aaron E. Foster, Andrew N. Jansen, Wenquan Lu and Joao Paulo Mattos Almeida. Their work appears in journals such as Nanoscale, PLoS ONE, Information Sciences, Artificial Intelligence in Medicine and Journal of Endourology.
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.