Fengwei Wang

2.0k total citations
89 papers, 1.4k citations indexed

About

Fengwei Wang is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Fengwei Wang has authored 89 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 12 papers in Molecular Biology and 11 papers in Information Systems. Recurrent topics in Fengwei Wang's work include Privacy-Preserving Technologies in Data (43 papers), Cryptography and Data Security (39 papers) and Stochastic Gradient Optimization Techniques (9 papers). Fengwei Wang is often cited by papers focused on Privacy-Preserving Technologies in Data (43 papers), Cryptography and Data Security (39 papers) and Stochastic Gradient Optimization Techniques (9 papers). Fengwei Wang collaborates with scholars based in China, Canada and United States. Fengwei Wang's co-authors include Hui Zhu, Rongxing Lu, Hui Li, Yandong Zheng, Xiaobin Zheng, Xianrui Wu, Zhenxing Liang, Tuo Hu, Ping Lan and Chi Zhou and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Fengwei Wang

76 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengwei Wang China 20 551 407 161 152 129 89 1.4k
Xiaoke Ma China 29 774 1.4× 1.1k 2.7× 63 0.4× 112 0.7× 288 2.2× 144 2.6k
Andreas Wortmann Germany 24 378 0.7× 378 0.9× 91 0.6× 361 2.4× 59 0.5× 127 1.8k
Taesung Lee South Korea 19 201 0.4× 260 0.6× 94 0.6× 53 0.3× 103 0.8× 60 1.0k
Zhenyong Zhang China 26 297 0.5× 496 1.2× 167 1.0× 151 1.0× 171 1.3× 128 2.3k
Liwei Huang China 26 116 0.2× 597 1.5× 118 0.7× 76 0.5× 122 0.9× 85 1.7k
Junjie Shen China 17 155 0.3× 592 1.5× 134 0.8× 58 0.4× 253 2.0× 59 1.4k
Yingying Yu China 14 173 0.3× 380 0.9× 106 0.7× 89 0.6× 182 1.4× 47 1.1k
Hongyu Zhu China 18 156 0.3× 310 0.8× 57 0.4× 187 1.2× 176 1.4× 55 1.1k
Chaoyang Wang China 21 126 0.2× 1.2k 3.0× 92 0.6× 105 0.7× 140 1.1× 87 1.9k

Countries citing papers authored by Fengwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fengwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengwei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengwei Wang. A scholar is included among the top collaborators of Fengwei Wang 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 Fengwei Wang. Fengwei Wang 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.
Wang, Jing, et al.. (2024). Collagen XVII promotes dormancy of colorectal cancer cells by activating mTORC2 signaling. Cellular Signalling. 120. 111234–111234. 8 indexed citations
2.
3.
Kou, Xiaoyu, et al.. (2024). Masked image: Visually protected image dataset privacy-preserving scheme for convolutional neural networks. Peer-to-Peer Networking and Applications. 17(4). 2523–2537. 1 indexed citations
4.
Zhang, Junpeng, Hui Zhu, Fengwei Wang, et al.. (2024). iDP-FL: A fine-grained and privacy-aware federated learning framework for deep neural networks. Information Sciences. 679. 121035–121035. 1 indexed citations
5.
Zhu, Hui, et al.. (2024). Efficient and Privacy-Preserving Federated Learning Against Poisoning Adversaries. IEEE Transactions on Services Computing. 17(5). 2320–2333. 7 indexed citations
6.
Wang, Fengwei, et al.. (2024). Achieving federated logistic regression training towards model confidentiality with semi-honest TEE. Information Sciences. 679. 121115–121115. 1 indexed citations
7.
Zheng, Yandong, Rongxing Lu, Yunguo Guan, et al.. (2024). EPSet: Efficient and Privacy-Preserving Set Similarity Range Query Over Encrypted Data. IEEE Transactions on Services Computing. 17(2). 524–536. 3 indexed citations
8.
Zhu, Hui, et al.. (2024). ToNN: An Oblivious Neural Network Prediction Scheme With Semi-Honest TEE. IEEE Transactions on Information Forensics and Security. 19. 7335–7348. 2 indexed citations
9.
Zhang, Canfeng, Liping Chen, Chen Xie, et al.. (2023). YTHDC1 delays cellular senescence and pulmonary fibrosis by activating ATR in an m6A-independent manner. The EMBO Journal. 43(1). 61–86. 23 indexed citations
10.
Zheng, Yandong, Hui Zhu, Rongxing Lu, et al.. (2023). PHRkNN: Efficient and Privacy-Preserving Reverse kNN Query Over High-Dimensional Data in Cloud. IEEE Transactions on Dependable and Secure Computing. 21(4). 1831–1844. 5 indexed citations
11.
Zhu, Hui, et al.. (2023). VFLR: An Efficient and Privacy-Preserving Vertical Federated Framework for Logistic Regression. IEEE Transactions on Cloud Computing. 11(4). 3326–3340. 11 indexed citations
12.
Zhu, Hui, et al.. (2023). A Semantic-Preserving Scheme to Trajectory Synthesis Using Differential Privacy. IEEE Internet of Things Journal. 10(15). 13784–13797. 10 indexed citations
13.
Zheng, Yandong, Rongxing Lu, Songnian Zhang, et al.. (2022). PRkNN: Efficient and Privacy-Preserving Reverse kNN Query Over Encrypted Data. IEEE Transactions on Dependable and Secure Computing. 20(5). 4387–4402. 4 indexed citations
14.
Zhu, Hui, et al.. (2022). PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework. IEEE Transactions on Information Forensics and Security. 17. 2059–2073. 68 indexed citations
15.
Zheng, Yandong, Rongxing Lu, Hui Zhu, et al.. (2022). SetRkNN: Efficient and Privacy-Preserving Set Reverse kNN Query in Cloud. IEEE Transactions on Information Forensics and Security. 18. 888–903. 15 indexed citations
16.
Zhu, Hui, et al.. (2021). DLP: Achieve Customizable Location Privacy With Deceptive Dummy Techniques in LBS Applications. IEEE Internet of Things Journal. 9(9). 6969–6984. 23 indexed citations
17.
Wang, Fengwei, Hui Zhu, Ximeng Liu, et al.. (2019). Privacy-Preserving Collaborative Model Learning Scheme for E-Healthcare. IEEE Access. 7. 166054–166065. 17 indexed citations
18.
Zhu, Hui, Fengwei Wang, Ximeng Liu, et al.. (2018). CINEMA: Efficient and Privacy-Preserving Online Medical Primary Diagnosis With Skyline Query. IEEE Internet of Things Journal. 6(2). 1450–1461. 56 indexed citations
19.
Wang, Fengwei, Hui Zhu, Ximeng Liu, et al.. (2018). Efficient and Privacy-Preserving Dynamic Spatial Query Scheme for Ride-Hailing Services. IEEE Transactions on Vehicular Technology. 67(11). 11084–11097. 27 indexed citations
20.
Zhu, Hui, et al.. (2017). Efficient and Privacy-Preserving Proximity Detection Schemes for Social Applications. IEEE Internet of Things Journal. 5(4). 2947–2957. 22 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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