Mark Junjie Li
Impact in
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Advanced Clustering Algorithms Research 5
- Anomaly Detection Techniques and Applications 3
- Algorithms and Data Compression 2
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- Face and Expression Recognition 3
- Co-authors
- Michael K. Ng (5 shared papers)Joshua Zhexue Huang (8 shared papers)Yiu‐ming Cheung (3 shared papers)Jian Huang (1 shared paper)Zengyou He (1 shared paper)Qingyao Wu (1 shared paper)Thanh-Tung Nguyen (2 shared papers)Nguyễn Thị Thanh Thủy (1 shared paper)
- Journals
- Journal of Biomedical Informatics (1 paper)Neurocomputing (1 paper)IEEE Transactions on Multimedia (1 paper)Ageing Research Reviews (1 paper)BMC Genomics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mark Junjie Li
24 papers receiving 594 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 302
- Signal Processing 89
- Computer Vision and Pattern Recognition 148
- Sensory Systems 26
- Information Systems 79
Countries citing papers authored by Mark Junjie Li
This map shows the geographic impact of Mark Junjie 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 Mark Junjie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Junjie Li more than expected).
Fields of papers citing papers by Mark Junjie Li
This network shows the impact of papers produced by Mark Junjie 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 Mark Junjie Li. The network helps show where Mark Junjie Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Junjie 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 207 | |
| 2 | 2007 | 147 | |
| 3 | 2015 | 76 | |
| 4 | 2020 | 30 | |
| 5 | 2015 | 25 | |
| 6 | 2018 | 20 | |
| 7 | 2010 | 20 | |
| 8 | 2018 | 19 | |
| 9 | 2024 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2014 | 8 | |
| 13 | 2009 | 6 | |
| 14 | 2006 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2019 | 1 |
About Mark Junjie Li
Mark Junjie Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Control and Systems Engineering, having authored 26 papers that have together received 612 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (5 papers), Gene expression and cancer classification (3 papers), Face and Expression Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), Data Mining Algorithms and Applications (2 papers), Algorithms and Data Compression (2 papers), Energy Load and Power Forecasting (2 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Artificial Intelligence (302 citations), Signal Processing (89 citations), Computer Vision and Pattern Recognition (148 citations), Sensory Systems (26 citations) and Information Systems (79 citations). Mark Junjie Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Michael K. Ng, Joshua Zhexue Huang, Yiu‐ming Cheung, Jian Huang, Zengyou He, Qingyao Wu, Thanh-Tung Nguyen, Nguyễn Thị Thanh Thủy, Thanh-Tung Nguyen and Yunming Ye. Their work appears in journals such as Journal of Biomedical Informatics, Neurocomputing, IEEE Transactions on Multimedia, Ageing Research Reviews and BMC Genomics.
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.