Zhenyu Wu

2.7k total citations · 1 hit paper
48 papers, 1.8k citations indexed

About

Zhenyu Wu is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Zhenyu Wu has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Signal Processing and 13 papers in Computer Networks and Communications. Recurrent topics in Zhenyu Wu's work include Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers) and Machine Fault Diagnosis Techniques (8 papers). Zhenyu Wu is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers) and Machine Fault Diagnosis Techniques (8 papers). Zhenyu Wu collaborates with scholars based in China, United States and Finland. Zhenyu Wu's co-authors include Haining Wang, Yang Ji, Guofei Jiang, Xu Zhang, Wenke Lee, Long Lu, Zhichun Li, Steven Gianvecchio, Mengjun Xie and Michael Pecht and has published in prestigious journals such as Trends in Pharmacological Sciences, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zhenyu Wu

47 papers receiving 1.7k citations

Hit Papers

CHEX 2012 2026 2016 2021 2012 100 200 300 400

Peers

Zhenyu Wu
Radu State Luxembourg
Limin Sun China
Limin Jia United States
Frederick T. Sheldon United States
Rafiqul Islam Australia
Rinku Dewri United States
Zhenyu Wu
Citations per year, relative to Zhenyu Wu Zhenyu Wu (= 1×) peers Stefano Zanero

Countries citing papers authored by Zhenyu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Wu. A scholar is included among the top collaborators of Zhenyu Wu 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 Zhenyu Wu. Zhenyu Wu 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.
Wu, Zhenyu, et al.. (2025). MoTE: Mixture of task-specific experts for pre-trained model-based Class-incremental learning. Knowledge-Based Systems. 324. 113795–113795. 1 indexed citations
2.
Wu, Zhenyu, et al.. (2024). centroIDA: Cross-domain class discrepancy minimization based on accumulative class-centroids for Imbalanced Domain Adaptation. Expert Systems with Applications. 255. 124718–124718. 1 indexed citations
3.
Wu, Zhenyu, et al.. (2024). An Iterative Resampling Deep Decoupling Domain Adaptation method for class-imbalance bearing fault diagnosis under variant working conditions. Expert Systems with Applications. 252. 124240–124240. 16 indexed citations
4.
Chen, Longfei, Zhenyu Wu, & Yang Ji. (2023). Two-Stage Adaptive Gradient Quantization in Federated Learning. 441–445.
5.
Liu, Yaqiong, et al.. (2023). Latency Optimization for UAVs Based Emergency Communication. 1280–1285. 3 indexed citations
7.
Wu, Zhenyu, Patrick J. Lawrence, Anjun Ma, et al.. (2020). Single-Cell Techniques and Deep Learning in Predicting Drug Response. Trends in Pharmacological Sciences. 41(12). 1050–1065. 40 indexed citations
9.
Wu, Zhenyu, et al.. (2019). A Local Adaptive Minority Selection and Oversampling Method for Class-Imbalanced Fault Diagnostics in Industrial Systems. IEEE Transactions on Reliability. 69(4). 1195–1206. 61 indexed citations
10.
Rhee, Junghwan, Chung Hwan Kim, Zhichun Li, et al.. (2019). PoLPer. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 209–220. 1 indexed citations
11.
Wu, Zhenyu, et al.. (2016). The study of multimodal series elastic actuator. 1–6. 1 indexed citations
12.
Wu, Zhenyu, et al.. (2016). Semi-automatic metadata annotation of Web of Things with knowledge base. 124–129. 3 indexed citations
13.
Zhang, Xu, Haining Wang, & Zhenyu Wu. (2015). A measurement study on co-residence threat inside the cloud. USENIX Security Symposium. 929–944. 57 indexed citations
14.
Zong, Bo, Xusheng Xiao, Zhichun Li, et al.. (2015). Behavior query discovery in system-generated temporal graphs. Proceedings of the VLDB Endowment. 9(4). 240–251. 16 indexed citations
15.
Wu, Zhenyu, Xu Zhang, & Haining Wang. (2012). Whispers in the hyper-space: high-speed covert channel attacks in the cloud. USENIX Security Symposium. 9–9. 162 indexed citations
16.
Wu, Zhenyu, et al.. (2012). Gateway as a service: A cloud computing framework for web of things. 1–6. 5 indexed citations
17.
Wu, Zhenyu, et al.. (2010). A new architecture of web applications — The Widget/Server architecture. 866–869. 3 indexed citations
18.
Gianvecchio, Steven, Zhenyu Wu, Mengjun Xie, & Haining Wang. (2009). Battle of Botcraft. 256–268. 53 indexed citations
19.
Gianvecchio, Steven, Mengjun Xie, Zhenyu Wu, & Haining Wang. (2008). Measurement and classification of humans and bots in internet chat. USENIX Security Symposium. 155–169. 57 indexed citations
20.
Wu, Zhenyu & Jill M. Boyce. (2006). An error concealment scheme for entire frame losses based on H.264/AVC. 14. 4–4. 29 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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