Yongjun Wang

2.5k total citations · 2 hit papers
111 papers, 1.2k citations indexed

About

Yongjun Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Yongjun Wang has authored 111 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 53 papers in Computer Networks and Communications and 27 papers in Signal Processing. Recurrent topics in Yongjun Wang's work include Network Security and Intrusion Detection (40 papers), Advanced Malware Detection Techniques (24 papers) and Internet Traffic Analysis and Secure E-voting (18 papers). Yongjun Wang is often cited by papers focused on Network Security and Intrusion Detection (40 papers), Advanced Malware Detection Techniques (24 papers) and Internet Traffic Analysis and Secure E-voting (18 papers). Yongjun Wang collaborates with scholars based in China, United Kingdom and United States. Yongjun Wang's co-authors include Hongzuo Xu, Yijie Wang, Guansong Pang, Rongmao Chen, Guomin Yang, Xinyi Huang, Fuchun Guo, Yi Mu, Xiaofen Wang and Yilong Wang and has published in prestigious journals such as PLoS ONE, Stroke and IEEE Access.

In The Last Decade

Yongjun Wang

97 papers receiving 1.2k citations

Hit Papers

Deep Isolation Forest for Anomaly Detection 2023 2026 2024 2025 2023 2024 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Isolation Forest for Anomaly Detection
    2023 189 citations Hongzuo Xu, Guansong Pang et al. IEEE Transactions on Knowledge and Data Engineering profile →
  2. Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection
    2024 48 citations Hongzuo Xu, Yijie Wang et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers

Yongjun Wang
Aleksandar Lazarević United States
Nikola Bogunović Croatia
Mangal Sain South Korea
P. Smets Belgium
Sumeet Dua United States
Pedro J. García-Laencina Spain
Venkatanareshbabu Kuppili India
Shoab Ahmed Khan Pakistan
Todd Graves United States
Jitendra Agrawal India
Aleksandar Lazarević United States
Yongjun Wang
Citations per year, relative to Yongjun Wang Yongjun Wang (= 1×) peers Aleksandar Lazarević

Countries citing papers authored by Yongjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yongjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjun Wang. A scholar is included among the top collaborators of Yongjun 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 Yongjun Wang. Yongjun 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, Yongjun, et al.. (2025). STATrack: Spatio-temporal adaptive transformer with consistency-aware memory distillation for visual tracking. Knowledge-Based Systems. 316. 113360–113360. 1 indexed citations
2.
Wang, Yongjun, et al.. (2025). unFlowS: An Unsupervised Construction Scheme of Flow Spectrum for Network Traffic Detection. IEEE Transactions on Information Forensics and Security. 20. 3330–3345. 2 indexed citations
3.
Xu, Hongzuo, et al.. (2024). Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5723–5736. 48 indexed citations breakdown →
4.
Wang, Yongjun, et al.. (2024). Fuzzing JavaScript Engines with a Graph-based IR. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3734–3748.
5.
Jin, Aoming, Yuesong Pan, Jinxi Lin, et al.. (2024). Stroke Prognosis: The Impact of Combined Thrombotic, Lipid, and Inflammatory Markers. Journal of Atherosclerosis and Thrombosis. 32(4). 458–473. 1 indexed citations
6.
Xu, Hongzuo, Guansong Pang, Yijie Wang, & Yongjun Wang. (2023). Deep Isolation Forest for Anomaly Detection. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12591–12604. 189 indexed citations breakdown →
7.
Xu, Hongzuo, et al.. (2022). Interaction Context-Aware Network Behavior Anomaly Detection for Discovering Unknown Attacks. Security and Communication Networks. 2022. 1–24. 2 indexed citations
8.
Guo, Dandan, et al.. (2022). Optimal Load Scheduling Based on Mobile Edge Computing Technology in 5G Dense Networking. 137–142. 1 indexed citations
9.
Wang, Yongjun, et al.. (2021). Few-Shot Website Fingerprinting Attack with Data Augmentation. Security and Communication Networks. 2021. 1–13. 16 indexed citations
10.
Wang, Yongjun, et al.. (2021). Few-shot website fingerprinting attack. Computer Networks. 198. 108298–108298. 30 indexed citations
11.
Wang, Xia, Cheryl Carcel, Jingwei Li, et al.. (2020). Worse prognosis in women, compared with men, after thrombolysis: An individual patient data pooling study of Asian acute stroke registries. International Journal of Stroke. 16(7). 784–791. 7 indexed citations
12.
Pan, Yuesong, Hongyi Yan, Yilong Wang, et al.. (2020). Triglyceride Glucose Index and Prognosis of Patients With Ischemic Stroke. Frontiers in Neurology. 11. 456–456. 78 indexed citations
13.
Chen, Rongmao, Yi Mu, Guomin Yang, et al.. (2016). Server-Aided Public Key Encryption With Keyword Search. IEEE Transactions on Information Forensics and Security. 11(12). 2833–2842. 150 indexed citations
14.
Liu, Gaifen, Runhua Zhang, Ruijun Ji, et al.. (2015). Evaluation of Off-Hour Emergency Care in Acute Ischemic Stroke: Results from the China National Stroke Registry. PLoS ONE. 10(9). e0138046–e0138046. 3 indexed citations
15.
Wang, Yongjun, et al.. (2012). Novel method of evaluating network security based on attack graphs. Jisuanji yingyong yanjiu. 29(3). 1100–1103. 1 indexed citations
16.
Wang, Yongjun. (2010). Similarity Search of Time Series Based on Centroid. Journal of Chongqing University of Science and Technology.
17.
Wang, Yongjun. (2009). Survey of automatic attack signature generation. Journal of Communications. 2 indexed citations
18.
Wang, Yongjun. (2009). The Application of BP Artificial Neural Network in the Network Communication. Computer Knowledge and Technology. 1 indexed citations
19.
Wang, Yongjun. (2006). A New Dynamic Constraint-based Routing Algorithm for Traffic Engineering. Jisuanji gongcheng. 1 indexed citations
20.
Wang, Yongjun, et al.. (2006). Research of Flexible Protocol Development Software Framework Based on Network Processor. 1. 270–277. 1 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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