Hangjun Che
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Papers in
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- Face and Expression Recognition 28
- Image Retrieval and Classification Techniques 7
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- Neural Networks and Applications 14
- Machine Learning and ELM 5
- Advanced Clustering Algorithms Research 5
- Co-authors
- Jun Wang (10 shared papers)Man-Fai Leung (35 shared papers)Cheng Liu (10 shared papers)Chuandong Li (7 shared papers)Xing He (9 shared papers)Tingwen Huang (5 shared papers)Shiping Wen (5 shared papers)Chenglu Li (4 shared papers)
- Journals
- Neural Networks (11 papers)IEEE Transactions on Neural Networks and Learning Systems (7 papers)IEEE Transactions on Consumer Electronics (4 papers)Information Fusion (4 papers)Neurocomputing (3 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Hangjun Che
62 papers receiving 1.2k citations
Hangjun Che's Hit Papers
Peers
Comparison fields: 5 of 91
- Computational Mathematics 87
- Computer Vision and Pattern Recognition 509
- Artificial Intelligence 585
- Urban Studies 61
- Signal Processing 94
Countries citing papers authored by Hangjun Che
This map shows the geographic impact of Hangjun Che'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 Hangjun Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangjun Che more than expected).
Fields of papers citing papers by Hangjun Che
This network shows the impact of papers produced by Hangjun Che. 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 Hangjun Che. The network helps show where Hangjun Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Hangjun Che, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2020 | 86 | |
| 3 | Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints Hit paper breakdown → | 2023 | 82 |
| 4 | 2018 | 66 | |
| 5 | Projected cross-view learning for unbalanced incomplete multi-view clustering Hit paper breakdown → | 2024 | 53 |
| 6 | 2018 | 50 | |
| 7 | 2023 | 46 | |
| 8 | 2023 | 41 | |
| 9 | 2024 | 37 | |
| 10 | 2023 | 36 | |
| 11 | 2019 | 35 | |
| 12 | 2023 | 35 | |
| 13 | 2021 | 35 | |
| 14 | 2014 | 32 | |
| 15 | 2024 | 31 | |
| 16 | 2022 | 30 | |
| 17 | 2022 | 29 | |
| 18 | 2022 | 29 | |
| 19 | 2023 | 28 | |
| 20 | 2022 | 27 |
About Hangjun Che
Hangjun Che is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Urban Studies and Computational Mathematics, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (28 papers), Neural Networks and Applications (14 papers), Sparse and Compressive Sensing Techniques (13 papers), Tensor decomposition and applications (8 papers), Advanced Computing and Algorithms (8 papers), Image Retrieval and Classification Techniques (7 papers), Machine Learning and ELM (5 papers) and Advanced Clustering Algorithms Research (5 papers). The work is most often cited by research in Computational Mathematics (87 citations), Computer Vision and Pattern Recognition (509 citations), Artificial Intelligence (585 citations), Urban Studies (61 citations) and Signal Processing (94 citations). Hangjun Che has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Jun Wang, Man-Fai Leung, Cheng Liu, Chuandong Li, Xing He, Tingwen Huang, Shiping Wen, Chenglu Li, Yan Zheng and Zheng Yan. Their work appears in journals such as Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Consumer Electronics, Information Fusion and Neurocomputing.
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.