Jianbin Qin
- Signal Processing top 5%
- Data Management and Algorithms 11
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- Data Quality and Management 9
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- Advanced Image and Video Retrieval Techniques 8
- Image Retrieval and Classification Techniques 4
- Information Systems top 5%
- Web Data Mining and Analysis 7
- Artificial Intelligence top 10%
- Topic Modeling 4
- Algorithms and Data Compression 4
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- Advanced Database Systems and Queries 4
- Co-authors
- Chuan XiaoXuemin LinWei WangYing ZhangYifang SunYoshiharu IshikawaHeng Tao ShenKoji Tsuda
- Cited by
- Signal ProcessingManagement Science and Operations ResearchComputer Vision and Pattern Recognition
In The Last Decade
Jianbin Qin
28 papers receiving 387 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 182
- Management Science and Operations Research 158
- Computer Vision and Pattern Recognition 184
- Information Systems 131
- Artificial Intelligence 182
Countries citing papers authored by Jianbin Qin
This map shows the geographic impact of Jianbin Qin'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 Jianbin Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianbin Qin more than expected).
Fields of papers citing papers by Jianbin Qin
This network shows the impact of papers produced by Jianbin Qin. 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 Jianbin Qin. The network helps show where Jianbin Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianbin Qin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 6 | |
| 13 | 2019 | 12 | |
| 14 | 2018 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2016 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2013 | 3 | |
| 19 | 2013 | 10 | |
| 20 | 2012 | 36 |
About Jianbin Qin
Jianbin Qin is a scholar working on Signal Processing, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 404 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Data Quality and Management (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Web Data Mining and Analysis (7 papers), Topic Modeling (4 papers), Advanced Database Systems and Queries (4 papers), Image Retrieval and Classification Techniques (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Signal Processing (182 citations), Management Science and Operations Research (158 citations) and Computer Vision and Pattern Recognition (184 citations). Jianbin Qin has collaborated with scholars based in Australia, China and Japan. Frequent co-authors include Chuan Xiao, Xuemin Lin, Wei Wang, Wei Wang, Ying Zhang, Yifang Sun, Yoshiharu Ishikawa, Wei Wang, Heng Tao Shen and Koji Tsuda. Their work appears in journals such as ACS Applied Materials & Interfaces, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Visualization and Computer Graphics.
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.