Zhongmin Yan

572 total citations
78 papers, 354 citations indexed

About

Zhongmin Yan is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Zhongmin Yan has authored 78 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 28 papers in Information Systems and 18 papers in Computer Networks and Communications. Recurrent topics in Zhongmin Yan's work include Recommender Systems and Techniques (12 papers), Web Data Mining and Analysis (12 papers) and Artificial Intelligence in Healthcare (11 papers). Zhongmin Yan is often cited by papers focused on Recommender Systems and Techniques (12 papers), Web Data Mining and Analysis (12 papers) and Artificial Intelligence in Healthcare (11 papers). Zhongmin Yan collaborates with scholars based in China, United States and Singapore. Zhongmin Yan's co-authors include Qingzhong Li, Lizhen Cui, Yuliang Shi, Xinjun Wang, Han Yu, Guoxian Yu, Jihu Wang, Xudong Lü, Hui Li and Carlotta Domeniconi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Zhongmin Yan

65 papers receiving 338 citations

Peers

Zhongmin Yan
Peter Brockhausen Germany
Rahul Hans India
Michael Goebel United States
Wahiba Ben Abdessalem Karâa Tunisia
Bhavani Raskutti Australia
X. D. Zhang United States
Herwig Unger Germany
Diyar Qader Zeebaree Iraq
Zuhaira Muhammad Zain Saudi Arabia
Yi‐Hung Huang Taiwan
Peter Brockhausen Germany
Zhongmin Yan
Citations per year, relative to Zhongmin Yan Zhongmin Yan (= 1×) peers Peter Brockhausen

Countries citing papers authored by Zhongmin Yan

Since Specialization
Citations

This map shows the geographic impact of Zhongmin Yan'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 Zhongmin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongmin Yan more than expected).

Fields of papers citing papers by Zhongmin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhongmin Yan. 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 Zhongmin Yan. The network helps show where Zhongmin Yan may publish in the future.

Co-authorship network of co-authors of Zhongmin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongmin Yan. A scholar is included among the top collaborators of Zhongmin Yan 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 Zhongmin Yan. Zhongmin Yan 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.
Yu, Guoxian, Jun Wang, Zhongmin Yan, et al.. (2025). Sophon: Byzantine-Robust Federated Learning via Dual Trust Mechanism. IEEE Transactions on Dependable and Secure Computing. 22(6). 5906–5917.
2.
Jin, Junru, Leyi Wei, Hua Shi, et al.. (2025). MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integration. Briefings in Bioinformatics. 26(5).
3.
Yan, Zhongmin, et al.. (2025). Few-shot partial multi-label learning with credible non-candidate label. Information Sciences. 719. 122485–122485.
4.
Zhang, Lei‐Hong, et al.. (2025). Cross-space topological contrastive learning for knowledge graph-aware issue recommendation. Knowledge and Information Systems. 67(5). 4623–4650. 1 indexed citations
5.
Shi, Yuliang, et al.. (2025). Multimodal contrastive learning with hyperbolic geometry for KG-based game recommendation. Knowledge and Information Systems. 67(11). 10395–10425.
6.
Guo, Wei, et al.. (2025). Class Activation Map Guided Backpropagation for Discriminative Explanations. Applied Sciences. 15(1). 379–379. 1 indexed citations
7.
8.
Liu, Lei, et al.. (2024). Federated Reinforcement Learning for Intelligent Route Planning in Aerial-Terrestrial Network. IEEE Internet of Things Journal. 1–1.
9.
He, Leping, et al.. (2023). Rapid assessment of slope deformation in 3D point cloud considering feature-based simplification and deformed area extraction. Measurement Science and Technology. 34(5). 55201–55201. 6 indexed citations
10.
Liu, Lei, et al.. (2023). Proactive Auto-Scaling for Delay-Sensitive IoT Applications Over Edge Clouds. IEEE Internet of Things Journal. 11(6). 9536–9546. 1 indexed citations
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Wang, Yu, et al.. (2023). MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Computers in Biology and Medicine. 164. 106904–106904. 21 indexed citations
14.
Wang, Jun, et al.. (2023). Long-Tail Cross Modal Hashing. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7642–7650. 8 indexed citations
15.
Shi, Yuliang, et al.. (2023). FedADP: Communication-Efficient by Model Pruning for Federated Learning. 3093–3098. 3 indexed citations
16.
Shi, Yuliang, et al.. (2022). MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 3 indexed citations
17.
Xu, Yonghui, Lei Liu, Xudong Lü, et al.. (2021). Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 779–784. 2 indexed citations
18.
Huang, Haozhe, et al.. (2021). Heterogeneous Information Network-Based Patient Similarity Search. Frontiers in Cell and Developmental Biology. 9. 735687–735687. 1 indexed citations
19.
Shi, Yuliang, et al.. (2020). Medical Treatment Migration Prediction Based on GCN via Medical Insurance Data. IEEE Journal of Biomedical and Health Informatics. 24(9). 2516–2522. 13 indexed citations
20.
Yan, Zhongmin, et al.. (2019). Author Name Disambiguation Using Graph Node Embedding Method. 410–415. 11 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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