Bo Jin

1.4k total citations · 2 hit papers
72 papers, 857 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 72 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Bo Jin's work include Face and Expression Recognition (8 papers), Face recognition and analysis (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Bo Jin is often cited by papers focused on Face and Expression Recognition (8 papers), Face recognition and analysis (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Bo Jin collaborates with scholars based in China, Portugal and United States. Bo Jin's co-authors include Nuno Gonçalves, Leandro Cruz, Jingke Yan, Weihua Zhang, Jiawen Ren, Minghu Ding, Mang I Vai, Shugui Hou, Bo Sun and Haifeng Lin and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Bo Jin

66 papers receiving 831 citations

Hit Papers

Transformer and Graph Convolution-Based Unsupervised Dete... 2024 2026 2025 2024 2025 10 20 30 40 50
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. Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts
    2024 59 citations Jingke Yan, Yao Cheng et al. profile →
  2. Multimodal Imitation Learning for Arc Detection in Complex Railway Environments
    2025 27 citations Jingke Yan, Yao Cheng et al. IEEE Transactions on Instrumentation and Measurement 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 14 206 196 183 117 92 72 857
Komei Sugiura Japan 16 311 1.5× 168 0.9× 494 2.7× 105 0.9× 61 0.7× 96 1.2k
Ashwani Kumar Aggarwal India 20 290 1.4× 108 0.6× 251 1.4× 39 0.3× 76 0.8× 47 1.2k
Junzhao Yu China 8 196 1.0× 215 1.1× 399 2.2× 47 0.4× 120 1.3× 12 1.2k
Ying Huang China 14 262 1.3× 128 0.7× 241 1.3× 63 0.5× 54 0.6× 80 1.0k
Bing Han China 20 362 1.8× 109 0.6× 134 0.7× 53 0.5× 149 1.6× 109 1.4k
Dali Wang United States 15 117 0.6× 165 0.8× 75 0.4× 47 0.4× 217 2.4× 117 899
Yongjun He China 17 157 0.8× 107 0.5× 318 1.7× 51 0.4× 99 1.1× 77 963
Fengxiang Jin China 12 139 0.7× 73 0.4× 259 1.4× 30 0.3× 43 0.5× 55 815
Greg Van Houdt Belgium 3 105 0.5× 125 0.6× 289 1.6× 34 0.3× 92 1.0× 4 1.2k

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.
Yan, Jingke, Yao Cheng, Fan Zhang, et al.. (2025). Multimodal Imitation Learning for Arc Detection in Complex Railway Environments. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 27 indexed citations breakdown →
2.
Liang, Lizhong, et al.. (2025). A transformer-based framework for temporal health event prediction with graph-enhanced representations. Journal of Biomedical Informatics. 166. 104826–104826. 1 indexed citations
3.
Jin, Bo, et al.. (2024). Simulated multimodal deep facial diagnosis. Expert Systems with Applications. 252. 123881–123881. 16 indexed citations
4.
Lu, X. Lucas, et al.. (2024). Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction. IEEE Transactions on Artificial Intelligence. 5(11). 5575–5588. 4 indexed citations
5.
6.
Zheng, Qinghe, Xinyu Tian, Zhiguo Yu, et al.. (2023). Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction. Expert Systems with Applications. 245. 123008–123008. 37 indexed citations
7.
Jin, Bo, et al.. (2023). CASSA-MEACS: A Novel Cluster Routing Method for Livestock Sensor Networks. IEEE Systems Journal. 17(4). 6401–6412. 1 indexed citations
8.
Jin, Bo, et al.. (2023). MM-ConvBERT-LMS: Detecting Malicious Web Pages via Multi-Modal Learning and Pre-Trained Model. Applied Sciences. 13(5). 3327–3327. 4 indexed citations
9.
Ma, Longfei, et al.. (2023). TECMH: Transformer-Based Cross-Modal Hashing For Fine-Grained Image-Text Retrieval. Computers, materials & continua/Computers, materials & continua (Print). 75(2). 3713–3728. 1 indexed citations
10.
Gao, Qinhe, Tong Huang, Ke Zhao, et al.. (2023). Adaptive inter-intradomain alignment network with class-aware sampling strategy for rolling bearing fault diagnosis. Science China Technological Sciences. 66(10). 2862–2870. 2 indexed citations
11.
Jin, Bo, Leandro Cruz, & Nuno Gonçalves. (2022). Pseudo RGB-D Face Recognition. IEEE Sensors Journal. 22(22). 21780–21794. 71 indexed citations
12.
Zhang, Feng, et al.. (2022). The Relationship Between Chinese College Student Offspring's Physical Activity and Father Physical Activity During COVID-19 Pandemic. Frontiers in Public Health. 10. 896087–896087. 3 indexed citations
13.
Jin, Bo, Leandro Cruz, & Nuno Gonçalves. (2021). Face Depth Prediction by the Scene Depth. 42–48. 10 indexed citations
14.
Jin, Bo, Leandro Cruz, & Nuno Gonçalves. (2020). Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis. IEEE Access. 8. 123649–123661. 157 indexed citations
15.
Chen, Kai, Beijun Shen, Yongjian Wang, & Bo Jin. (2016). Automatic semantic annotation for source code variable names. 33(11). 3357. 1 indexed citations
16.
Jin, Bo & Mang I Vai. (2014). An adaptive ultrasonic backscattered signal processing technique for instantaneous characteristic frequency detection. Bio-Medical Materials and Engineering. 24(6). 2761–2770. 16 indexed citations
17.
Chen, Yanhu, Canjun Yang, Dejun Li, & Bo Jin. (2013). Efforts on developing the technologies of abyssal cabled observatory in China. 2013 OCEANS - San Diego. 1–5. 2 indexed citations
18.
Lu, Songjian, Bo Jin, L. Ashley Cowart, & Xinghua Lu. (2013). From Data towards Knowledge: Revealing the Architecture of Signaling Systems by Unifying Knowledge Mining and Data Mining of Systematic Perturbation Data. PLoS ONE. 8(4). e61134–e61134. 12 indexed citations
19.
Jin, Bo, et al.. (2006). Granular Kernel Trees with parallel Genetic Algorithms for drug activity comparisons. International Journal of Data Mining and Bioinformatics. 1(3). 270–270. 11 indexed citations
20.
Jin, Bo. (2002). Adaptive CMAC controller for hydraulic turbine speed governor. Control theory & applications. 3 indexed citations

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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