Bo Ren
Impact in
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- Handwritten Text Recognition Techniques
- Multimodal Machine Learning Applications
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- Advanced oxidation water treatment
- Water Resources and Sustainability
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 4
- Advanced Computational Techniques and Applications 4
- Advanced Text Analysis Techniques 3
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- Human Pose and Action Recognition 2
- Handwritten Text Recognition Techniques 2
- Co-authors
- Deqiang Jiang (3 shared papers)Xiang Bai (1 shared paper)Yuliang Liu (1 shared paper)Wenwen Yu (1 shared paper)Wei Hua (1 shared paper)Cheng Wang (3 shared papers)Qiuwen Zhang (1 shared paper)Guanlong Wang (1 shared paper)
- Journals
- Water (2 papers)Journal of Computational Physics (1 paper)Pattern Recognition (1 paper)Assembly Automation (1 paper)International Journal of Production Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bo Ren
27 papers receiving 278 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 92
- Water Science and Technology 56
- Artificial Intelligence 101
- Signal Processing 20
- Media Technology 15
Countries citing papers authored by Bo Ren
This map shows the geographic impact of Bo Ren'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 Bo Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Ren more than expected).
Fields of papers citing papers by Bo Ren
This network shows the impact of papers produced by Bo Ren. 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 Bo Ren. The network helps show where Bo Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Ren, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 57 | |
| 2 | 2023 | 44 | |
| 3 | 2023 | 43 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 17 | |
| 6 | 2018 | 14 | |
| 7 | 2007 | 12 | |
| 8 | 2003 | 11 | |
| 9 | 2011 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2007 | 5 | |
| 15 | 2008 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2010 | 3 | |
| 18 | 2008 | 3 | |
| 19 | 2010 | 2 | |
| 20 | 2023 | 2 |
About Bo Ren
Bo Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Water Science and Technology and Information Systems, having authored 30 papers that have together received 292 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Advanced Computational Techniques and Applications (4 papers), Advanced Text Analysis Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers), Human Pose and Action Recognition (2 papers), Handwritten Text Recognition Techniques (2 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (92 citations), Water Science and Technology (56 citations), Artificial Intelligence (101 citations), Signal Processing (20 citations) and Media Technology (15 citations). Bo Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Deqiang Jiang, Xiang Bai, Yuliang Liu, Wenwen Yu, Wei Hua, Cheng Wang, Qiuwen Zhang, Guanlong Wang, Jinyu Li and Shujie Liu. Their work appears in journals such as Water, Journal of Computational Physics, Pattern Recognition, Assembly Automation and International Journal of Production Research.
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.