Wang Zhou

590 total citations
33 papers, 347 citations indexed

About

Wang Zhou is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wang Zhou has authored 33 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wang Zhou's work include Recommender Systems and Techniques (16 papers), AI in cancer detection (9 papers) and Advanced Graph Neural Networks (7 papers). Wang Zhou is often cited by papers focused on Recommender Systems and Techniques (16 papers), AI in cancer detection (9 papers) and Advanced Graph Neural Networks (7 papers). Wang Zhou collaborates with scholars based in China, Pakistan and Saudi Arabia. Wang Zhou's co-authors include Jianping Li, Amin Ul Haq, Muhammad Hammad Memon, Muhammad Hunain Memon, Guangming Pan, Zhigang Bao, Yimei Yang, Sultan Ahmad, Xiaoying Wang and Zhidong Bai and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and The Annals of Statistics.

In The Last Decade

Wang Zhou

25 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wang Zhou China	11	203	84	67	59	50	33	347
Ali Ridho Barakbah Indonesia	10	188 0.9×	82 1.0×	22 0.3×	7 0.1×	75 1.5×	85	331
Guandong Xu Australia	9	158 0.8×	129 1.5×	13 0.2×	3 0.1×	47 0.9×	37	276
Vladik Kreinovich United States	6	100 0.5×	32 0.4×	4 0.1×	28 0.5×	19 0.4×	24	271
Ambedkar Dukkipati India	10	136 0.7×	8 0.1×	42 0.6×	26 0.4×	88 1.8×	43	337
Lian Yan China	14	232 1.1×	70 0.8×	6 0.1×	22 0.4×	51 1.0×	26	537
Lars Asker Sweden	12	395 1.9×	42 0.5×	5 0.1×	13 0.2×	38 0.8×	35	547
Yann Busnel France	11	106 0.5×	94 1.1×	7 0.1×	6 0.1×	29 0.6×	32	302
Delaram Kahrobaei United States	7	168 0.8×	48 0.6×	25 0.4×		41 0.8×	42	266
Kazuhiro Seki Japan	12	246 1.2×	105 1.3×	15 0.2×	4 0.1×	47 0.9×	41	403

Countries citing papers authored by Wang Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Wang Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Zhou. A scholar is included among the top collaborators of Wang 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 Wang Zhou. Wang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Jiquan, Zhiquan Liu, Wang Zhou, Amin Ul Haq, & Abdus Saboor. (2025). FERmc: Facial expression recognition framework based on multi-branch fusion and depthwise separable convolution. Information Fusion. 124. 103416–103416.

Zhou, Wang, et al.. (2025). Differentially private matrix factorization with sub-linear convergence rate for personalized recommendation. Information Fusion. 126. 103621–103621.

Zhou, Wang, et al.. (2024). Differentially private recommender framework with Dual semi-Autoencoder. Expert Systems with Applications. 260. 125447–125447. 6 indexed citations

Li, Xiang, Wang Zhou, Amin Ul Haq, & Shakir Khan. (2024). LDPMF: Local differential privacy enhanced matrix factorization for advanced recommendation. Knowledge-Based Systems. 309. 112892–112892.

Zhou, Wang, Ying Tian, Amin Ul Haq, & Sultan Ahmad. (2024). An autoencoder-based recommendation framework toward cold start problem. The Journal of Supercomputing. 81(1). 1 indexed citations

Zhou, Wang, et al.. (2024). Detection of Deepfakes: Protecting Images and Vedios Against Deepfake. 1–6.

Zhou, Wang, et al.. (2023). Multi-view social recommendation via matrix factorization with sub-linear convergence rate. Expert Systems with Applications. 237. 121687–121687. 12 indexed citations

Zhou, Wang, et al.. (2023). Deep Learning Technique for Predicting Axillary Lymph Node Metastasis in Breast Cancer. 1–4.

Haq, Amin Ul, Jianping Li, Riaz Ullah Khan, et al.. (2021). Deep Learning Approach for COVID-19 Identification. 154–156. 2 indexed citations

10.

Yang, Yimei, et al.. (2021). Research on a hybrid prediction model for stock price based on long short-term memory and variational mode decomposition. Soft Computing. 25(21). 13513–13531. 29 indexed citations

11.

Hosseini, Mahdi S., Lina Chen, Corwyn Rowsell, et al.. (2021). Probeable DARTS with Application to Computational Pathology. 572–581. 4 indexed citations

12.

Zhou, Wang, et al.. (2021). Pairwise deep learning to rank for top-N recommendation. Journal of Intelligent & Fuzzy Systems. 40(6). 10969–10980. 3 indexed citations

13.

Zhou, Wang, et al.. (2021). NtCF: Neural Trust-Aware Collaborative Filtering Toward Hierarchical Recommendation Services. Arabian Journal for Science and Engineering. 47(2). 1239–1252. 4 indexed citations

14.

Zhou, Wang, Yongluan Zhou, Jianping Li, & Muhammad Hammad Memon. (2020). LsRec: Large-scale social recommendation with online update. Expert Systems with Applications. 162. 113739–113739. 9 indexed citations

15.

Haq, Amin Ul, Jianping Li, Abdus Saboor, et al.. (2020). 3DCNN: Three-Layers Deep Convolutional Neural Network Architecture for Breast Cancer Detection using Clinical Image Data. 83–88. 7 indexed citations

16.

Zhou, Wang, et al.. (2019). Leverage side information for top‐N recommendation with latent Gaussian process. Concurrency and Computation Practice and Experience. 33(12). 3 indexed citations

17.

Memon, Muhammad Hammad, Jianping Li, Amin Ul Haq, Muhammad Hunain Memon, & Wang Zhou. (2019). Breast Cancer Detection in the IOT Health Environment Using Modified Recursive Feature Selection. Wireless Communications and Mobile Computing. 2019. 1–19. 69 indexed citations

18.

Zhou, Wang, et al.. (2018). Deep Learning Modeling for Top-N Recommendation With Interests Exploring. IEEE Access. 6. 51440–51455. 19 indexed citations

19.

Zhou, Wang, et al.. (2018). Improving Recommendation Performance in Matrix Factorization with Interest Exploring. 117–119. 1 indexed citations

20.

Bao, Zhigang, Jiang Hu, Guangming Pan, & Wang Zhou. (2018). Canonical correlation coefficients of high-dimensional Gaussian vectors: Finite rank case. The Annals of Statistics. 47(1). 23 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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