Jun Zhou

3.9k total citations
161 papers, 1.9k citations indexed

About

Jun Zhou is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Zhou has authored 161 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Artificial Intelligence, 60 papers in Information Systems and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Zhou's work include Recommender Systems and Techniques (44 papers), Advanced Graph Neural Networks (34 papers) and Topic Modeling (27 papers). Jun Zhou is often cited by papers focused on Recommender Systems and Techniques (44 papers), Advanced Graph Neural Networks (34 papers) and Topic Modeling (27 papers). Jun Zhou collaborates with scholars based in China, United States and Australia. Jun Zhou's co-authors include Xiaolong Li, Chaochao Chen, Qi Yuan, Longfei Li, Xinxing Yang, Ziqi Liu, Le Song, Zhiqiang Zhang, Ziqi Liu and Le Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Jun Zhou

133 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Zhou China 22 1.3k 595 345 248 148 161 1.9k
Huan Zhao China 17 1.0k 0.8× 977 1.6× 346 1.0× 226 0.9× 174 1.2× 46 1.6k
Wenqi Fan Hong Kong 21 1.9k 1.5× 1.3k 2.2× 422 1.2× 276 1.1× 240 1.6× 70 2.6k
Markus Weimer United States 17 934 0.7× 559 0.9× 438 1.3× 320 1.3× 64 0.4× 41 1.5k
Jianxin Li China 26 1.8k 1.4× 691 1.2× 315 0.9× 419 1.7× 311 2.1× 132 2.4k
Zhiang Wu China 25 759 0.6× 710 1.2× 216 0.6× 360 1.5× 284 1.9× 92 1.6k
Mohammad Reza Keyvanpour Iran 19 651 0.5× 347 0.6× 442 1.3× 164 0.7× 117 0.8× 196 1.5k
Zhaohui Zheng United States 22 1.3k 1.0× 1.2k 1.9× 463 1.3× 275 1.1× 237 1.6× 55 2.4k
Kun Yue China 17 477 0.4× 625 1.1× 212 0.6× 376 1.5× 86 0.6× 110 1.2k
Péter Fankhauser Germany 22 953 0.8× 843 1.4× 217 0.6× 333 1.3× 105 0.7× 92 2.0k
Jian-Tao Sun China 24 1.8k 1.4× 1.0k 1.7× 409 1.2× 136 0.5× 150 1.0× 56 2.6k

Countries citing papers authored by Jun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhou. A scholar is included among the top collaborators of Jun Zhou 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 Jun Zhou. Jun Zhou 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.
Zhang, Zhiqiang, et al.. (2025). KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. 334–343. 7 indexed citations
2.
Zhang, Ningyu, Zhiqiang Zhang, Jun Zhou, et al.. (2025). OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. 2871–2874. 1 indexed citations
3.
4.
Wang, Yan, Zhixuan Chu, Jinjie Gu, et al.. (2024). LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19189–19196. 12 indexed citations
5.
Sui, Yongduo, Zhixuan Chu, Yuan Gao, et al.. (2024). Invariant Graph Learning for Causal Effect Estimation. 2552–2562. 3 indexed citations
6.
Sui, Yongduo, et al.. (2024). A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance. ACM Transactions on Knowledge Discovery from Data. 19(2). 1–24.
7.
Hu, Binbin, et al.. (2024). PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. 228–237. 2 indexed citations
8.
Zhang, An, et al.. (2024). Self-attentive Rationalization for Interpretable Graph Contrastive Learning. ACM Transactions on Knowledge Discovery from Data. 19(2). 1–21.
9.
Su, Fangfang, Qian Tao, Jun Zhou, et al.. (2023). A tree-like structured perceptron for transition-based biomedical event extraction. Knowledge-Based Systems. 283. 111180–111180. 5 indexed citations
10.
Zhou, Jun, et al.. (2023). MOIT: A Novel task for mining opinions towards implicit targets. Engineering Applications of Artificial Intelligence. 126. 106841–106841. 3 indexed citations
11.
Cui, Qing, et al.. (2023). GINT: A Generative Interpretability method via perturbation in the latent space. Expert Systems with Applications. 232. 120570–120570. 3 indexed citations
12.
13.
Zhang, Yu, Ligang He, Hui Yu, et al.. (2023). GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. ACM Transactions on Architecture and Code Optimization. 20(3). 1–24. 1 indexed citations
14.
15.
Liu, Ziqi, et al.. (2023). Online resource allocation in Markov Chains. 3498–3507. 1 indexed citations
16.
17.
Wang, Jihong, Minnan Luo, Jundong Li, et al.. (2023). Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective. IEEE Transactions on Knowledge and Data Engineering. 36(8). 4290–4303. 5 indexed citations
18.
Ji, Shouling, Zhenguang Liu, Xuhong Zhang, et al.. (2022). Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study. IEEE Transactions on Dependable and Secure Computing. 20(2). 1169–1185. 11 indexed citations
19.
Zhou, Jun, et al.. (2021). ASFGNN: Automated separated-federated graph neural network. Peer-to-Peer Networking and Applications. 14(3). 1692–1704. 46 indexed citations
20.
Zhou, Jun & Tianhong Zhang. (2018). Aero-engine Thrust Estimation Based on Ensemble of Improved Wavelet Extreme Learning Machine. Transaction of Nanjing University of Aeronautics and Astronautics. 35(2). 290–299. 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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