Yu Wen

543 total citations
12 papers, 326 citations indexed

About

Yu Wen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Yu Wen has authored 12 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Yu Wen's work include Adversarial Robustness in Machine Learning (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Network Security and Intrusion Detection (4 papers). Yu Wen is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Network Security and Intrusion Detection (4 papers). Yu Wen collaborates with scholars based in China, United States and Hong Kong. Yu Wen's co-authors include Dan Meng, Fucheng Liu, Xinyu Xing, Yong Hu, Michael K. Ng, Zhiguang Feng, Shuqiang Wang, Yanyan Shen, Baiying Lei and Yong Liu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Dependable and Secure Computing and PeerJ Computer Science.

In The Last Decade

Yu Wen

11 papers receiving 318 citations

Peers

Countries citing papers authored by Yu Wen

Since Specialization

Citations

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

Fields of papers citing papers by Yu Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Wen

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	ProDE: Interpretable APT Detection Method Based on Encoder-decoder Architecture 2023 ·(unknown), (unknown), Yu Wen, Dan Meng	1
2	Towards Dynamic Backdoor Attacks against LiDAR Semantic Segmentation in Autonomous Driving 2023 ·(unknown), Yu Wen, Xu Cheng	0
3	BadLiDet: A Simple Backdoor Attack against LiDAR Object Detection in Autonomous Driving 2023 ·(unknown), Yu Wen, Huiying Wang, Cheng Xu	1
4	Morphological Feature Visualization of Alzheimer’s Disease via Multidirectional Perception GAN 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Yu Wen, Baiying Lei, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Yanyan Shen, Michael K. Ng	87
5	SparkAC: Fine-Grained Access Control in Spark for Secure Data Sharing and Analytics 2022 ·IEEE Transactions on Dependable and Secure Computing ·(unknown), Yu Wen, Bo Luo, Gang Li, Yingjiu Li, (unknown), Yang Zheng, (unknown), Dan Meng	7
6	Investigating the impact of vulnerability datasets on deep learning-based vulnerability detectors 2022 ·PeerJ Computer Science ·Lili Liu, Zhen Li, Yu Wen, (unknown)	3
7	DeepMal: maliciousness-Preserving adversarial instruction learning against static malware detection 2021 ·Cybersecurity ·Chun Yang, (unknown), (unknown), (unknown), Yu Wen, (unknown), Dan Meng	15
8	FederatedReverse: A Detection and Defense Method Against Backdoor Attacks in Federated Learning 2021 ·Chen Zhao, Yu Wen, (unknown), Fucheng Liu, Dan Meng	21
9	An Approach for Poisoning Attacks Against RNN-Based Cyber Anomaly Detection 2020 ·(unknown), Yu Wen, Chun Yang, Dan Meng	8
10	MLTracer: Malicious Logins Detection System via Graph Neural Network 2020 ·Fucheng Liu, Yu Wen, (unknown), (unknown), (unknown), Dan Meng	8
11	Log2vec 2019 ·Fucheng Liu, Yu Wen, (unknown), (unknown), Xinyu Xing, Dan Meng	171
12	A Convolutional Neural Network based Classifier for Uncompressed Malware Samples 2018 ·Chun Yang, Yu Wen, Jianbin Guo, (unknown), (unknown), (unknown), Dan Meng	4

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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