Hai Liu
Impact in
- Biophysics top 2%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
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- Visual Attention and Saliency Detection 4
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- Advanced Software Engineering Methodologies 3
- Co-authors
- Xiaohua Jia (7 shared papers)Zhaoli Zhang (14 shared papers)Peng‐Jun Wan (4 shared papers)Sannyuya Liu (6 shared papers)Deying Li (3 shared papers)Jianwen Sun (2 shared papers)Youfu Li (4 shared papers)Jiangbo Shu (7 shared papers)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (2 papers)Applied Sciences (1 paper)Neurocomputing (1 paper)IEEE Transactions on Mobile Computing (1 paper)Journal of Food Process Engineering (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Hai Liu
46 papers receiving 850 citations
Peers
Comparison fields: 5 of 91
- Biophysics 115
- Computer Vision and Pattern Recognition 262
- Computer Networks and Communications 287
- Human-Computer Interaction 61
- Analytical Chemistry 100
Countries citing papers authored by Hai Liu
This map shows the geographic impact of Hai 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 Hai Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Liu more than expected).
Fields of papers citing papers by Hai Liu
This network shows the impact of papers produced by Hai 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 Hai Liu. The network helps show where Hai Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 93 | |
| 2 | 2014 | 60 | |
| 3 | 2014 | 59 | |
| 4 | 2007 | 55 | |
| 5 | 2012 | 45 | |
| 6 | 2006 | 45 | |
| 7 | 2020 | 42 | |
| 8 | 2005 | 40 | |
| 9 | 2020 | 34 | |
| 10 | 2015 | 31 | |
| 11 | 2020 | 30 | |
| 12 | 2006 | 30 | |
| 13 | 2016 | 25 | |
| 14 | 2020 | 22 | |
| 15 | 2018 | 22 | |
| 16 | 2022 | 21 | |
| 17 | 2021 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2018 | 16 | |
| 20 | 2024 | 15 |
About Hai Liu
Hai Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Analytical Chemistry, having authored 47 papers that have together received 876 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Online Learning and Analytics (5 papers), Service-Oriented Architecture and Web Services (4 papers), Visual Attention and Saliency Detection (4 papers), Mobile Ad Hoc Networks (4 papers), Online and Blended Learning (3 papers) and Advanced Software Engineering Methodologies (3 papers). The work is most often cited by research in Biophysics (115 citations), Computer Vision and Pattern Recognition (262 citations), Computer Networks and Communications (287 citations), Human-Computer Interaction (61 citations) and Analytical Chemistry (100 citations). Hai Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaohua Jia, Zhaoli Zhang, Peng‐Jun Wan, Sannyuya Liu, Deying Li, Jianwen Sun, Youfu Li, Jiangbo Shu, Luxin Yan and Tingting Liu. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Applied Sciences, Neurocomputing, IEEE Transactions on Mobile Computing and Journal of Food Process Engineering.
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.