Hu Li
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Anomaly Detection Techniques and Applications 8
- Adversarial Robustness in Machine Learning 7
- Imbalanced Data Classification Techniques 5
- Text and Document Classification Technologies 5
- Natural Language Processing Techniques 2
- Quantum Information and Cryptography 2
- Co-authors
- Yu Chen (2 shared papers)Choong Yong Ung (1 shared paper)Ying Xue (1 shared paper)Zhi Cao (1 shared paper)Chun Wei Yap (1 shared paper)Bin Zhou (1 shared paper)Hua Wang (1 shared paper)Ye Wang (1 shared paper)
In The Last Decade
Hu Li
30 papers receiving 389 citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 119
- Health Informatics 6
- Oral Surgery 27
- Artificial Intelligence 135
- Orthodontics 10
Countries citing papers authored by Hu Li
This map shows the geographic impact of Hu Li'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 Hu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hu Li more than expected).
Fields of papers citing papers by Hu Li
This network shows the impact of papers produced by Hu Li. 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 Hu Li. The network helps show where Hu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hu Li, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 119 | |
| 2 | 2018 | 64 | |
| 3 | 2017 | 56 | |
| 4 | 2023 | 36 | |
| 5 | 2009 | 30 | |
| 6 | 2020 | 21 | |
| 7 | 2024 | 9 | |
| 8 | 2020 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2004 | 7 | |
| 11 | 2009 | 7 | |
| 12 | 2013 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2022 | 2 | |
| 20 | Application of software R in the geographic information system. | 2005 | 1 |
About Hu Li
Hu Li is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Electrical and Electronic Engineering and Software, having authored 35 papers that have together received 402 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (8 papers), Adversarial Robustness in Machine Learning (7 papers), Imbalanced Data Classification Techniques (5 papers), Text and Document Classification Technologies (5 papers), Machine Fault Diagnosis Techniques (2 papers), Natural Language Processing Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Quantum Information and Cryptography (2 papers). The work is most often cited by research in Computational Theory and Mathematics (119 citations), Health Informatics (6 citations), Oral Surgery (27 citations), Artificial Intelligence (135 citations) and Orthodontics (10 citations). Hu Li has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yu Chen, Choong Yong Ung, Ying Xue, Zhi Cao, Chun Wei Yap, Bin Zhou, Hua Wang, Ye Wang, Abdugheni Abliz and Balati Maihemuti. Their work appears in journals such as Chinese Physics Letters, Medical Physics, Measurement Science and Technology, Journal of Computational Chemistry and Photonics.
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.