Bo Ren
Impact in
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- Advanced oxidation water treatment
- Water Resources and Sustainability
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- Handwritten Text Recognition Techniques
- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 5
- Advanced Computational Techniques and Applications 4
- Advanced Text Analysis Techniques 3
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- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 2
- Co-authors
- Deqiang Jiang (3 shared papers)Wenwen Yu (1 shared paper)Wei Hua (1 shared paper)Xiang Bai (1 shared paper)Yuliang Liu (1 shared paper)Linqin Cai (1 shared paper)Qiuwen Zhang (1 shared paper)Yawei Shi (1 shared paper)
- Journals
- Water (2 papers)IEEE Transactions on Medical Imaging (1 paper)Assembly Automation (1 paper)Journal of Computational Physics (1 paper)International Journal of Production Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bo Ren
26 papers receiving 247 citations
Peers
Comparison fields: 5 of 78
- Water Science and Technology 54
- Computer Vision and Pattern Recognition 73
- Artificial Intelligence 94
- Signal Processing 18
- Chemical Health and Safety 1
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 42 | |
| 2 | 2023 | 39 | |
| 3 | 2023 | 35 | |
| 4 | 2024 | 24 | |
| 5 | 2020 | 23 | |
| 6 | 2022 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2003 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2011 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2008 | 3 | |
| 15 | 2010 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2008 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2007 | 1 |
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 29 papers that have together received 259 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Advanced Computational Techniques and Applications (4 papers), Multimodal Machine Learning Applications (3 papers), Advanced Text Analysis Techniques (3 papers), Inertial Sensor and Navigation (2 papers), Water Resources and Sustainability (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Water Science and Technology (54 citations), Computer Vision and Pattern Recognition (73 citations), Artificial Intelligence (94 citations), Signal Processing (18 citations) and Chemical Health and Safety (1 citation). Bo Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Deqiang Jiang, Wenwen Yu, Wei Hua, Xiang Bai, Yuliang Liu, Linqin Cai, Qiuwen Zhang, Yawei Shi, Pengcheng Wang and Zonglin Pan. Their work appears in journals such as Water, IEEE Transactions on Medical Imaging, Assembly Automation, Journal of Computational Physics 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.