Dijun Luo
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
-
- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 4
- Advanced Graph Neural Networks 4
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- Face and Expression Recognition 11
- Image Retrieval and Classification Techniques 4
- Co-authors
- Heng Huang (19 shared papers)Chris Ding (16 shared papers)Guihai Chen (2 shared papers)Xiaobing Wu (2 shared papers)Xiaojun Zhu (2 shared papers)Feiping Nie (4 shared papers)Tao Li (3 shared papers)Marianthi Markatou (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Applied Physics Letters (1 paper)American Journal Of Pathology (1 paper)Neurocomputing (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Dijun Luo
36 papers receiving 729 citations
Peers
Comparison fields: 5 of 114
- Computational Mathematics 56
- Computer Vision and Pattern Recognition 212
- Artificial Intelligence 268
- Computer Networks and Communications 158
- Health Information Management 24
Countries citing papers authored by Dijun Luo
This map shows the geographic impact of Dijun Luo'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 Dijun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dijun Luo more than expected).
Fields of papers citing papers by Dijun Luo
This network shows the impact of papers produced by Dijun Luo. 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 Dijun Luo. The network helps show where Dijun Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dijun Luo, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 90 | |
| 2 | 2012 | 68 | |
| 3 | Combining knowledge and data driven insights for identifying risk factors using electronic health records. | 2012 | 65 |
| 4 | Cauchy Graph Embedding | 2011 | 58 |
| 5 | 2014 | 51 | |
| 6 | 2008 | 40 | |
| 7 | 2010 | 37 | |
| 8 | 2011 | 35 | |
| 9 | 2008 | 29 | |
| 10 | 2011 | 27 | |
| 11 | 2010 | 26 | |
| 12 | 2009 | 26 | |
| 13 | 2011 | 18 | |
| 14 | 2012 | 18 | |
| 15 | 2012 | 15 | |
| 16 | Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach | 2012 | 15 |
| 17 | 2012 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2010 | 14 | |
| 20 | 2021 | 14 |
About Dijun Luo
Dijun Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mathematics, Computational Mechanics and Molecular Biology, having authored 36 papers that have together received 758 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Sparse and Compressive Sensing Techniques (5 papers), Tensor decomposition and applications (5 papers), Neural Networks and Applications (4 papers), Advanced Graph Neural Networks (4 papers), Image Retrieval and Classification Techniques (4 papers), Remote-Sensing Image Classification (3 papers) and Greenhouse Technology and Climate Control (3 papers). The work is most often cited by research in Computational Mathematics (56 citations), Computer Vision and Pattern Recognition (212 citations), Artificial Intelligence (268 citations), Computer Networks and Communications (158 citations) and Health Information Management (24 citations). Dijun Luo has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Heng Huang, Chris Ding, Guihai Chen, Xiaobing Wu, Xiaojun Zhu, Feiping Nie, Tao Li, Marianthi Markatou, Fei Wang and Jianying Hu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Physics Letters, American Journal Of Pathology, Neurocomputing and Knowledge and Information Systems.
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.