Bo Jin
Impact in
-
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
-
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
Papers in
-
- Video Surveillance and Tracking Methods 7
- Medical Image Segmentation Techniques 5
- Advanced Neural Network Applications 5
- Visual Attention and Saliency Detection 4
-
- Domain Adaptation and Few-Shot Learning 6
- Machine Learning and ELM 5
- Reinforcement Learning in Robotics 5
- Co-authors
- Shaoyuan Sun (2 shared papers)Haitao Zhao (1 shared paper)Xiangfeng Wang (14 shared papers)Wenhao Li (8 shared papers)Zhongliang Jing (10 shared papers)Junchi Yan (7 shared papers)Hongyuan Zha (11 shared papers)Xiangfeng Wang (10 shared papers)
- Journals
- Science China Information Sciences (2 papers)Neurocomputing (2 papers)IEEE Access (2 papers)INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (1 paper)Information Sciences (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bo Jin
44 papers receiving 648 citations
Bo Jin's Hit Papers
Peers
Comparison fields: 5 of 101
- Control and Systems Engineering 236
- Computer Vision and Pattern Recognition 156
- Artificial Intelligence 198
- Computational Mathematics 3
- Statistics, Probability and Uncertainty 31
Countries citing papers authored by Bo Jin
This map shows the geographic impact of Bo Jin'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 Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Jin more than expected).
Fields of papers citing papers by Bo Jin
This network shows the impact of papers produced by Bo Jin. 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 Jin. The network helps show where Bo Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Jin, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sequential Fault Diagnosis Based on LSTM Neural Network Hit paper breakdown → | 2018 | 261 |
| 2 | 2020 | 66 | |
| 3 | On modeling and predicting individual paper citation count over time | 2016 | 44 |
| 4 | 2022 | 35 | |
| 5 | 2022 | 23 | |
| 6 | 2019 | 23 | |
| 7 | 2021 | 20 | |
| 8 | 2017 | 18 | |
| 9 | 2015 | 16 | |
| 10 | 2020 | 15 | |
| 11 | Modeling contagious merger and acquisition via point processes with a profile regression prior | 2016 | 14 |
| 12 | 2021 | 14 | |
| 13 | 2013 | 10 | |
| 14 | 2014 | 6 | |
| 15 | 2012 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2013 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2014 | 5 |
About Bo Jin
Bo Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Media Technology and Information Systems, having authored 50 papers that have together received 663 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Neural Network Applications (5 papers), Machine Learning and ELM (5 papers), Reinforcement Learning in Robotics (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Visual Attention and Saliency Detection (4 papers). The work is most often cited by research in Control and Systems Engineering (236 citations), Computer Vision and Pattern Recognition (156 citations), Artificial Intelligence (198 citations), Computational Mathematics (3 citations) and Statistics, Probability and Uncertainty (31 citations). Bo Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shaoyuan Sun, Haitao Zhao, Xiangfeng Wang, Wenhao Li, Zhongliang Jing, Junchi Yan, Hongyuan Zha, Xiangfeng Wang, Haitao Zhao and Ya Zhang. Their work appears in journals such as Science China Information Sciences, Neurocomputing, IEEE Access, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences and Information Sciences.
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.