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

Bo Jin
Comparison fields: 5 of 129
  • Artificial Intelligence 490
  • Information Systems 230
  • Signal Processing 155
  • Health Information Management 139
  • Molecular Biology 132
Mohammad Saniee Abadeh Iran
Aziz Guergachi Canada
Murat Karabatak Türkiye
Haishuai Wang China
Abdelmgeid A. Ali Egypt
Zhicheng Cui United States
Vipin Kumar India
Peter Funk Sweden
Shailendra Narayan Singh India
Mohammad Ehsan Basiri Iran
Mohammad Saniee Abadeh Iran View profile →
Citations per field, relative to Bo Jin
Bo Jin · 1×
Citations per year, relative to Bo Jin
Bo Jin · 1×

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
# Title Journal Authors Indexed citations
1 Self-Supervised Disentangled Representation Learning for Time Series Anomaly Detection IEEE Internet of Things Journal Liang Zhang, Guangjie Han et al. 0
2 MGHSTCKW: Predicting miRNA–drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path Expert Systems with Applications Dong Ouyang, Bo Jin et al. 2
3 Application of data encryption technology in computer network security Procedia Computer Science M. Y. Yu, Bo Jin et al. 0
4 OSGAN: Omni-scale and Global-aware ECG arrhythmia diagnostic network Biomedical Signal Processing and Control Bo Jin, Chao Che et al. 4
5 Information- Theoretic Multi-Agent Algorithm Based on the CTDE Framework Xiangyu Liu, Bo Jin 0
6 Variational Autoencoder-Based Framework for Retail Sales Prediction IEEE Access Fu‐Yu Li, Bo Jin et al. 1
7 Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction Proceedings of the AAAI Conference on Artificial Intelligence Jianping Zhu, Xin Guo et al. 2
8 KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning BMC Medical Informatics and Decision Making Yang An, Haocheng Tang et al. 3
9 RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism Computational and Mathematical Methods in Medicine Peiliang Zhang, Chao Che et al. 25
10 Prediction of Treatment Medicines With Dual Adaptive Sequential Networks IEEE Transactions on Knowledge and Data Engineering Yang An, Liang Zhang et al. 12
11 CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering IEEE Transactions on Knowledge and Data Engineering Ruiyun Yu, Zhihong Wang et al. 27
12 Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection IEEE Access Lin Feng, Bo Jin et al. 12
13 Knowledge-driven drug repurposing using a comprehensive drug knowledge graph Health Informatics Journal Yongjun Zhu, Chao Che et al. 41
14 RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking Journal of Biomedical Informatics Yang An, Liang Zhang et al. 9
15 Fast and effective biomedical named entity recognition using temporal convolutional network with conditional random field Mathematical Biosciences & Engineering Chao Che, Bo Jin et al. 5
16 Which Doctor to Trust: A Recommender System for Identifying the Right Doctors Journal of Medical Internet Research Bo Jin, Degen Huang et al. 38
17 Security log with integrity verification support Journal of Tsinghua University(Science and Technology) Yongjian Wang, Bo Jin et al. 1
18 Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table International Journal of Computational Intelligence Systems Le Wang, Bo Jin et al. 4
19 Identifying computer generated images based on analysis of image noise Journal of Optoelectronics·laser Bo Jin 1
20 Document-structure-based copy detection algorithm Dalian Ligong Daxue xuebao Bo Jin 4

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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