Wei Zhou

3.0k total citations
144 papers, 2.0k citations indexed

About

Wei Zhou is a scholar working on Information Systems, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Wei Zhou has authored 144 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Information Systems, 42 papers in Artificial Intelligence and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Wei Zhou's work include Recommender Systems and Techniques (57 papers), Advanced Graph Neural Networks (25 papers) and Topic Modeling (13 papers). Wei Zhou is often cited by papers focused on Recommender Systems and Techniques (57 papers), Advanced Graph Neural Networks (25 papers) and Topic Modeling (13 papers). Wei Zhou collaborates with scholars based in China, Australia and United States. Wei Zhou's co-authors include Cunman Zhang, Junhao Wen, Hong Lv, Min Gao, Jun Zeng, Hui Yu, Chuan Ma, Ming Zhang, Xiaojun Shen and Qingyu Xiong and has published in prestigious journals such as Environmental Science & Technology, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Wei Zhou

120 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Zhou China 25 605 587 487 363 339 144 2.0k
Jifu Zhang China 26 315 0.5× 392 0.7× 465 1.0× 151 0.4× 358 1.1× 152 2.0k
Khaled Shaban Qatar 29 422 0.7× 1.5k 2.6× 819 1.7× 218 0.6× 408 1.2× 131 3.4k
Gang Yao China 21 275 0.5× 1.2k 2.0× 261 0.5× 254 0.7× 156 0.5× 139 2.1k
Haris M. Khalid United Arab Emirates 26 173 0.3× 908 1.5× 396 0.8× 192 0.5× 77 0.2× 97 2.2k
Hao Liu China 24 176 0.3× 509 0.9× 466 1.0× 428 1.2× 144 0.4× 120 2.0k
Yan Cao China 31 138 0.2× 896 1.5× 255 0.5× 414 1.1× 334 1.0× 147 3.0k
Shady S. Refaat Qatar 28 132 0.2× 2.1k 3.6× 490 1.0× 369 1.0× 503 1.5× 166 3.0k
Mohamed A. Mohamed Egypt 44 225 0.4× 3.5k 6.0× 517 1.1× 572 1.6× 181 0.5× 149 5.0k
Yuanzheng Li China 38 173 0.3× 3.0k 5.1× 390 0.8× 207 0.6× 101 0.3× 124 3.8k
Dino Isa Malaysia 23 236 0.4× 814 1.4× 505 1.0× 262 0.7× 277 0.8× 81 2.2k

Countries citing papers authored by Wei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Wei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Zhou. A scholar is included among the top collaborators of Wei 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 Wei Zhou. Wei 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.
2.
Huang, Xiao, et al.. (2025). Disentangling Long- and Short-term Preferences Based on Latent Commonalities Enhancement for Next Point-of-Interest Recommendation. Expert Systems with Applications. 284. 127850–127850.
3.
Zhou, Wei, et al.. (2025). Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. Knowledge-Based Systems. 324. 113606–113606.
4.
Ning, Shunlian, Wei Zhou, Qikai Wu, et al.. (2024). Cobalt@Ruthenium Core@Shell nanoparticles embedded within nitrogen-doped carbon nanosheets as reversible oxygen electrocatalysts. Journal of Catalysis. 434. 115532–115532. 3 indexed citations
5.
Zhong, Lin, et al.. (2024). SCFL: Spatio-temporal consistency federated learning for next POI recommendation. Information Processing & Management. 61(6). 103852–103852. 9 indexed citations
6.
Zeng, Jun, et al.. (2024). CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. Knowledge-Based Systems. 305. 112607–112607. 1 indexed citations
7.
Wang, Hongyu, et al.. (2024). Multiple hypergraph convolutional network social recommendation using dual contrastive learning. Data Mining and Knowledge Discovery. 38(4). 1929–1957. 3 indexed citations
8.
Zhou, Wei, Xianyi Zhang, Junhao Wen, & Xibin Wang. (2024). Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation. Expert Systems with Applications. 264. 125812–125812.
9.
Zhou, Wei, Muhammad Ajmal, Yanan Jiang, et al.. (2024). Ni–CaZrO3 with perovskite phase loaded on ZrO2 for CO2 methanation. International Journal of Hydrogen Energy. 92. 1202–1213. 11 indexed citations
10.
Zhou, Wei, et al.. (2024). Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks. IEEE Transactions on Computational Social Systems. 12(2). 818–831.
11.
Wen, Junhao, et al.. (2024). Learning robust travel preferences via check-in masking for next POI recommendation. Expert Systems with Applications. 267. 126106–126106. 1 indexed citations
12.
Wang, Yulin, et al.. (2023). Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations. Knowledge-Based Systems. 282. 111129–111129. 3 indexed citations
13.
Lv, Hong, Jingxian Chen, Wei Zhou, Xiaojun Shen, & Cunman Zhang. (2023). Mechanism analyses and optimization strategies for performance improvement in low-temperature water electrolysis systems via the perspective of mass transfer: A review. Renewable and Sustainable Energy Reviews. 183. 113394–113394. 53 indexed citations
14.
Xu, Hong, et al.. (2023). Amorphous cobalt iron oxide nanoparticles with high magnetization intensity for spin conversion of hydrogen at 77K. International Journal of Hydrogen Energy. 48(81). 31643–31652. 18 indexed citations
15.
Zeng, Jun, et al.. (2023). Point-of-interest Recommendation using Deep Semantic Model. Expert Systems with Applications. 231. 120727–120727. 12 indexed citations
16.
Zhou, Wei, et al.. (2023). IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation. Expert Systems with Applications. 228. 120321–120321. 5 indexed citations
17.
Zhou, Wei, et al.. (2023). Noise-reducing graph neural network with intent-target co-action for session-based recommendation. Information Processing & Management. 60(6). 103517–103517. 10 indexed citations
18.
Lv, Hong, et al.. (2023). Temporal and spatial evolution of hydrogen leakage and diffusion from tube fittings on fuel cell vehicles under the effect of ambient wind. Renewable and Sustainable Energy Reviews. 185. 113596–113596. 39 indexed citations
19.
Wen, Junhao, et al.. (2022). Multi-interaction fusion collaborative filtering for social recommendation. Expert Systems with Applications. 205. 117610–117610. 10 indexed citations
20.
Zhou, Wei, et al.. (2013). K-Gram Based Fuzzy Keyword Search over Encrypted Cloud Computing. Journal of Software Engineering and Applications. 6(1). 29–32. 14 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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