Bo Jin

1.0k total citations · 1 hit paper
51 papers, 640 citations indexed

About

Bo Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Bo Jin has authored 51 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Bo Jin's work include Video Surveillance and Tracking Methods (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Machine Learning and ELM (5 papers). Bo Jin is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Machine Learning and ELM (5 papers). Bo Jin collaborates with scholars based in China, United States and Singapore. Bo Jin's co-authors include Shaoyuan Sun, Haitao Zhao, Xiangfeng Wang, Wenhao Li, Zhongliang Jing, Junchi Yan, Hongyuan Zha, Xiangfeng Wang, Haitao Zhao and Xiaoyun Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Bo Jin

44 papers receiving 620 citations

Hit Papers

Sequential Fault Diagnosis Based on LSTM Neural Network 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Sequential Fault Diagnosis Based on LSTM Neural Network
    2018 254 citations Bo Jin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bo Jin China 12 233 193 153 103 76 51 640
Ke Zhu China 11 225 1.0× 229 1.2× 149 1.0× 137 1.3× 38 0.5× 40 596
Fulufhelo V. Nelwamondo South Africa 15 110 0.5× 232 1.2× 140 0.9× 68 0.7× 104 1.4× 86 737
Mingzhi Mao China 19 460 2.0× 388 2.0× 213 1.4× 85 0.8× 47 0.6× 71 970
Hongpeng Yin China 15 263 1.1× 173 0.9× 140 0.9× 90 0.9× 86 1.1× 49 711
Xing Cai China 6 173 0.7× 326 1.7× 98 0.6× 72 0.7× 116 1.5× 6 769
Minghu Wu China 15 374 1.6× 245 1.3× 155 1.0× 38 0.4× 129 1.7× 56 793
Dante Mújica‐Vargas Mexico 16 231 1.0× 139 0.7× 156 1.0× 41 0.4× 71 0.9× 53 618
Vivek Agarwal United States 13 132 0.6× 123 0.6× 142 0.9× 45 0.4× 203 2.7× 72 760
Xinming Zhang China 12 180 0.8× 409 2.1× 119 0.8× 61 0.6× 71 0.9× 33 686
Wenhui Chen Taiwan 13 157 0.7× 163 0.8× 166 1.1× 54 0.5× 217 2.9× 78 684

Countries citing papers authored by Bo Jin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bo Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Jin. A scholar is included among the top collaborators of Bo Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bo Jin. Bo Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Zihe & Bo Jin. (2025). DiffSBR: A diffusion model for session-based recommendation. Information Processing & Management. 63(1). 104284–104284.
2.
Li, Wenhao, Haoqing Chen, Xiaoling Wang, et al.. (2024). Complementary information mutual learning for multimodality medical image segmentation. Neural Networks. 180. 106670–106670. 4 indexed citations
3.
Jin, Bo, Zhaohao Ding, Zhenglong Sun, et al.. (2024). Reinforcement Learning Based Adaptive Load Shedding by CANFIS Controllers for Frequency Recovery Criterion-Oriented Control. IEEE Transactions on Power Systems. 40(1). 996–1009. 4 indexed citations
4.
Wang, Lu, Fangkai Yang, Bo Qiao, et al.. (2023). Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. 2927–2936. 3 indexed citations
5.
Jin, Bo, et al.. (2023). Machine Vision Based Defect Detection Method for Electronic Component Solder Pads. 34(4). 175–183. 1 indexed citations
6.
Liu, Wenyan, et al.. (2022). Obtaining Dyadic Fairness by Optimal Transport. 2022 IEEE International Conference on Big Data (Big Data). 2 indexed citations
7.
Wang, Xiangfeng, Bo Jin, Junchi Yan, et al.. (2022). Learning structured communication for multi-agent reinforcement learning. Autonomous Agents and Multi-Agent Systems. 36(2). 19 indexed citations
8.
Wang, Xiangfeng, Bo Jin, Wenhao Li, et al.. (2021). HMRL. 637–645. 5 indexed citations
9.
Li, Xin, Xiangfeng Wang, Bo Jin, et al.. (2021). VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. 1836–1843. 1 indexed citations
10.
Wang, Xiangfeng, et al.. (2021). Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. 1859–1866. 4 indexed citations
11.
Ma, Chaofan, Xiangfeng Wang, Bo Jin, et al.. (2020). Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning. IEEE Transactions on Medical Imaging. 40(10). 2563–2574. 14 indexed citations
12.
Xiao, Shuai, Junchi Yan, Changsheng Li, et al.. (2016). On modeling and predicting individual paper citation count over time. International Joint Conference on Artificial Intelligence. 2676–2682. 44 indexed citations
13.
Yan, Junchi, Shuai Xiao, Changsheng Li, et al.. (2016). Modeling contagious merger and acquisition via point processes with a profile regression prior. International Joint Conference on Artificial Intelligence. 2690–2696. 14 indexed citations
14.
Jing, Zhongliang, et al.. (2016). Visible and infrared tracking based on multi-view multi-kernel fusion model. Optical Review. 23(2). 244–253. 5 indexed citations
15.
Jin, Bo, Zhongliang Jing, Meng Wang, & Han Pan. (2014). Robust visual multitask tracking via composite sparse model. Journal of Electronic Imaging. 23(6). 63022–63022. 1 indexed citations
16.
Zhang, Canlong, Zhongliang Jing, Bo Jin, & Zhixin Li. (2012). A dual-kernel-based tracking approach for visual target. Science China Information Sciences. 55(3). 566–576. 6 indexed citations
17.
Jin, Bo, et al.. (2012). Based on Associated Multi-indexes Model for Limited-SLCSS Subsequence Retrieval on Time series. Journal of Convergence Information Technology. 7(3). 77–83.
18.
Jin, Bo, et al.. (2010). Forensic analysis of skimming devices for credit fraud detection. 542–546. 5 indexed citations
19.
Jin, Bo. (2009). Detection of copy-move image forgeries based on SIFT. Journal of PLA University of Science and Technology. 1 indexed citations
20.
Jin, Bo. (2007). Teaching Reform of Signals and Systems.

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.

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