Sheng Zhou

801 total citations
30 papers, 342 citations indexed

About

Sheng Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sheng Zhou has authored 30 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Sheng Zhou's work include Advanced Graph Neural Networks (13 papers), Recommender Systems and Techniques (11 papers) and Topic Modeling (6 papers). Sheng Zhou is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Recommender Systems and Techniques (11 papers) and Topic Modeling (6 papers). Sheng Zhou collaborates with scholars based in China, Singapore and United States. Sheng Zhou's co-authors include Jiajun Bu, Jiawei Chen, Lei Wu, Xin Shen, Zhe Liu, Xiangnan He, Xuezhi Cao, Zihao Zhao, Fuzheng Zhang and Wei Wu and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and ACM Computing Surveys.

In The Last Decade

Sheng Zhou

22 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Zhou China 11 216 125 108 56 31 30 342
Jiana Meng China 9 275 1.3× 107 0.9× 55 0.5× 91 1.6× 13 0.4× 35 410
Ahmad Ali Abin Iran 12 165 0.8× 91 0.7× 63 0.6× 51 0.9× 13 0.4× 39 322
L. Borrajo Spain 10 195 0.9× 69 0.6× 53 0.5× 36 0.6× 23 0.7× 27 323
Xianhua Zeng China 13 221 1.0× 278 2.2× 42 0.4× 65 1.2× 38 1.2× 45 523
Tong Ruan China 12 385 1.8× 76 0.6× 49 0.5× 45 0.8× 31 1.0× 64 543
Yuhai Yu China 9 273 1.3× 110 0.9× 58 0.5× 91 1.6× 5 0.2× 14 406
Guangli Li China 11 175 0.8× 150 1.2× 56 0.5× 40 0.7× 7 0.2× 52 325
Milad Ahmadian Iran 8 179 0.8× 71 0.6× 168 1.6× 44 0.8× 30 1.0× 12 302
Mingi Ji South Korea 7 189 0.9× 188 1.5× 49 0.5× 15 0.3× 15 0.5× 11 334

Countries citing papers authored by Sheng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Zhou. A scholar is included among the top collaborators of Sheng 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 Sheng Zhou. Sheng 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, Liangliang, et al.. (2025). Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey. ACM Transactions on Knowledge Discovery from Data. 19(5). 1–25.
2.
Zhang, Changwang, et al.. (2025). LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation. ACM Transactions on Information Systems. 44(1). 1–32. 1 indexed citations
3.
Chen, Jiawei, et al.. (2025). Uncertainty-Aware Graph Structure Learning. 4863–4874.
4.
5.
6.
Zhou, Sheng, et al.. (2025). Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. 60–69. 3 indexed citations
7.
Gu, Ming, et al.. (2025). Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. Neural Networks. 190. 107612–107612.
8.
Yu, Zhi, et al.. (2024). Less is more: A closer look at semantic-based few-shot learning. Information Fusion. 114. 102672–102672. 1 indexed citations
9.
Chen, Jiawei, et al.. (2024). Distributionally Robust Graph-based Recommendation System. 3777–3788. 12 indexed citations
10.
Chen, Jiawei, et al.. (2024). SIGformer: Sign-aware Graph Transformer for Recommendation. arXiv (Cornell University). 1274–1284. 11 indexed citations
11.
Zhang, Zhen, Ning Ma, Ming Gu, et al.. (2024). Structure enhanced prototypical alignment for unsupervised cross-domain node classification. Neural Networks. 177. 106396–106396. 3 indexed citations
12.
Xu, Yue, Sheng Zhou, Wenbing Huang, et al.. (2024). Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 3598–3608. 22 indexed citations
13.
Zhou, Sheng, et al.. (2024). Heterophilous distribution propagation for Graph Neural Networks. Neural Networks. 184. 107014–107014.
14.
Wang, Can, et al.. (2023). Online adversarial knowledge distillation for graph neural networks. Expert Systems with Applications. 237. 121671–121671. 9 indexed citations
15.
Chen, Jiawei, et al.. (2023). CDR: Conservative Doubly Robust Learning for Debiased Recommendation. 2321–2330. 11 indexed citations
16.
Gu, Ming, et al.. (2023). Homophily-enhanced Structure Learning for Graph Clustering. 577–586. 13 indexed citations
17.
Huang, Xiao, et al.. (2023). Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. 3748–3752. 5 indexed citations
18.
Chen, Jiawei, et al.. (2023). Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. arXiv (Cornell University). 1085–1096. 12 indexed citations
19.
Ma, Ning, Jiajun Bu, Jun Wen, et al.. (2022). Context-guided entropy minimization for semi-supervised domain adaptation. Neural Networks. 154. 270–282. 18 indexed citations
20.
Bu, Jiajun, et al.. (2021). Efficient Medical Image Segmentation Based on Knowledge Distillation. IEEE Transactions on Medical Imaging. 40(12). 3820–3831. 121 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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