Bo Jin

2.0k total citations
86 papers, 1.2k citations indexed

About

Bo Jin is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Bo Jin has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 16 papers in Signal Processing and 14 papers in Molecular Biology. Recurrent topics in Bo Jin's work include Topic Modeling (14 papers), Machine Learning in Healthcare (11 papers) and Time Series Analysis and Forecasting (8 papers). Bo Jin is often cited by papers focused on Topic Modeling (14 papers), Machine Learning in Healthcare (11 papers) and Time Series Analysis and Forecasting (8 papers). Bo Jin collaborates with scholars based in China, United States and South Korea. Bo Jin's co-authors include Chao Che, Yue Qu, Peiliang Zhang, Xiaopeng Wei, Liang Zhang, Haoyu Yang, Chuanren Liu, Lin Feng, Zhen Liu and Xiaomeng Yin and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Bo Jin

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bo Jin China	19	490	230	155	139	132	86	1.2k
Mohammad Saniee Abadeh Iran	19	946 1.9×	241 1.0×	114 0.7×	211 1.5×	130 1.0×	98	1.5k
Aziz Guergachi Canada	19	561 1.1×	170 0.7×	170 1.1×	546 3.9×	72 0.5×	80	1.3k
Murat Karabatak Türkiye	13	702 1.4×	193 0.8×	85 0.5×	154 1.1×	156 1.2×	77	1.4k
Haishuai Wang China	22	603 1.2×	115 0.5×	340 2.2×	55 0.4×	63 0.5×	93	1.4k
Abdelmgeid A. Ali Egypt	18	645 1.3×	97 0.4×	125 0.8×	72 0.5×	97 0.7×	33	1.5k
Zhicheng Cui United States	8	794 1.6×	151 0.7×	63 0.4×	54 0.4×	125 0.9×	13	1.2k
Vipin Kumar India	13	597 1.2×	156 0.7×	101 0.7×	102 0.7×	98 0.7×	37	1.1k
Peter Funk Sweden	16	507 1.0×	125 0.5×	91 0.6×	73 0.5×	57 0.4×	87	1.0k
Shailendra Narayan Singh India	19	370 0.8×	150 0.7×	50 0.3×	161 1.2×	175 1.3×	115	1.1k
Mohammad Ehsan Basiri Iran	20	1.4k 2.9×	302 1.3×	80 0.5×	74 0.5×	88 0.7×	35	1.9k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Liang, et al.. (2025). Self-Supervised Disentangled Representation Learning for Time Series Anomaly Detection. IEEE Internet of Things Journal. 12(19). 40259–40271.

Ouyang, Dong, et al.. (2025). MGHSTCKW: Predicting miRNA–drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path. Expert Systems with Applications. 274. 126879–126879. 2 indexed citations

Yu, M. Y., et al.. (2025). Application of data encryption technology in computer network security. Procedia Computer Science. 261. 1187–1193.

Jin, Bo, et al.. (2024). OSGAN: Omni-scale and Global-aware ECG arrhythmia diagnostic network. Biomedical Signal Processing and Control. 96. 106602–106602. 4 indexed citations

Liu, Xiangyu & Bo Jin. (2024). Information- Theoretic Multi-Agent Algorithm Based on the CTDE Framework. 511–516.

Li, Fu‐Yu, et al.. (2024). Variational Autoencoder-Based Framework for Retail Sales Prediction. IEEE Access. 12. 196391–196402. 1 indexed citations

Zhu, Jianping, et al.. (2024). Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17159–17166. 2 indexed citations

An, Yang, et al.. (2023). KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning. BMC Medical Informatics and Decision Making. 23(1). 243–243. 3 indexed citations

Zhang, Peiliang, et al.. (2021). RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism. Computational and Mathematical Methods in Medicine. 2021. 1–9. 25 indexed citations

10.

An, Yang, Liang Zhang, Leilei Sun, et al.. (2021). Prediction of Treatment Medicines With Dual Adaptive Sequential Networks. IEEE Transactions on Knowledge and Data Engineering. 34(11). 5496–5509. 12 indexed citations

11.

Yu, Ruiyun, Zhihong Wang, Ann Move Oguti, et al.. (2021). CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering. 34(10). 4650–4662. 27 indexed citations

12.

Feng, Lin, et al.. (2020). Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection. IEEE Access. 8. 218739–218751. 12 indexed citations

13.

Zhu, Yongjun, et al.. (2020). Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. Health Informatics Journal. 26(4). 2737–2750. 41 indexed citations

14.

An, Yang, Liang Zhang, Bo Jin, et al.. (2020). RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking. Journal of Biomedical Informatics. 108. 103502–103502. 9 indexed citations

15.

Che, Chao, et al.. (2020). Fast and effective biomedical named entity recognition using temporal convolutional network with conditional random field. Mathematical Biosciences & Engineering. 17(4). 3553–3566. 5 indexed citations

16.

Jin, Bo, et al.. (2016). Which Doctor to Trust: A Recommender System for Identifying the Right Doctors. Journal of Medical Internet Research. 18(7). e186–e186. 38 indexed citations

17.

Wang, Yongjian, Bo Jin, & Jian Dong. (2016). Security log with integrity verification support. Journal of Tsinghua University(Science and Technology). 56(3). 237–245. 1 indexed citations

18.

Wang, Le, et al.. (2013). Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table. International Journal of Computational Intelligence Systems. 7(1). 25–25. 4 indexed citations

19.

Jin, Bo. (2010). Identifying computer generated images based on analysis of image noise. Journal of Optoelectronics·laser. 1 indexed citations

20.

Jin, Bo. (2007). Document-structure-based copy detection algorithm. Dalian Ligong Daxue xuebao. 4 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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