Xudong Liu

990 total citations · 1 hit paper
23 papers, 678 citations indexed

About

Xudong Liu is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Xudong Liu has authored 23 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 10 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Xudong Liu's work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (6 papers) and Topic Modeling (4 papers). Xudong Liu is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (6 papers) and Topic Modeling (4 papers). Xudong Liu collaborates with scholars based in China, Canada and United Kingdom. Xudong Liu's co-authors include Yongyi Mao, Samuel Mensah, Richong Zhang, Kai Sun, Hailong Sun, Zibin Zheng, Xi Chen, Zicheng Huang, Jun Zhao and Hao Peng and has published in prestigious journals such as Information Sciences, Knowledge-Based Systems and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Xudong Liu

22 papers receiving 658 citations

Hit Papers

Aspect-Level Sentiment Analysis Via Convolution over Depe... 2019 2026 2021 2023 2019 50 100 150 200 250
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. Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree
    2019 276 citations Kai Sun, Richong Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xudong Liu China 11 449 243 203 66 51 23 678
Hongfei Yan China 13 491 1.1× 217 0.9× 74 0.4× 53 0.8× 67 1.3× 36 635
Kenji Hatano Japan 8 269 0.6× 417 1.7× 129 0.6× 108 1.6× 37 0.7× 41 618
Vasudha Bhatnagar India 12 287 0.6× 198 0.8× 103 0.5× 40 0.6× 40 0.8× 38 472
Guoyong Cai China 10 279 0.6× 165 0.7× 89 0.4× 23 0.3× 82 1.6× 53 494
Jalel Akaichi Tunisia 10 175 0.4× 104 0.4× 69 0.3× 75 1.1× 62 1.2× 88 349
Alexander Zhou Hong Kong 9 247 0.6× 224 0.9× 67 0.3× 42 0.6× 52 1.0× 13 359
Emaad Manzoor United States 7 275 0.6× 84 0.3× 132 0.7× 77 1.2× 21 0.4× 10 386
Shila Ofek-Koifman Israel 7 158 0.4× 334 1.4× 108 0.5× 64 1.0× 116 2.3× 7 481
Hans Chalupsky United States 9 306 0.7× 162 0.7× 179 0.9× 37 0.6× 44 0.9× 24 444
José María Gómez Hidalgo Spain 12 652 1.5× 668 2.7× 327 1.6× 167 2.5× 26 0.5× 32 888

Countries citing papers authored by Xudong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xudong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xudong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xudong Liu. A scholar is included among the top collaborators of Xudong Liu 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 Xudong Liu. Xudong Liu 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.
Liu, Chen, et al.. (2023). TI-MVD: A temporal interaction-enhanced model for malware variants detection. Knowledge-Based Systems. 278. 110850–110850. 5 indexed citations
2.
Li, Bo, et al.. (2023). A2-CLM: Few-Shot Malware Detection Based on Adversarial Heterogeneous Graph Augmentation. IEEE Transactions on Information Forensics and Security. 19. 2023–2038. 6 indexed citations
3.
Li, Bo, et al.. (2023). MalAF : Malware Attack Foretelling From Run-Time Behavior Graph Sequence. IEEE Transactions on Dependable and Secure Computing. 21(4). 1951–1966. 4 indexed citations
4.
Sun, Kai, Richong Zhang, Samuel Mensah, et al.. (2023). Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. 1594–1603.
5.
Li, Bo, et al.. (2022). FewM-HGCL : Few-Shot Malware Variants Detection Via Heterogeneous Graph Contrastive Learning. IEEE Transactions on Dependable and Secure Computing. 1–18. 12 indexed citations
6.
Zhao, Jun, et al.. (2022). Cyber threat prediction using dynamic heterogeneous graph learning. Knowledge-Based Systems. 240. 108086–108086. 22 indexed citations
7.
Guo, Xiaohui, et al.. (2022). Adaptive Shapelets Preservation for Time Series Augmentation. 2022 International Joint Conference on Neural Networks (IJCNN). 2. 1–8. 1 indexed citations
8.
Zhao, Jun, et al.. (2020). Multi-attributed heterogeneous graph convolutional network for bot detection. Information Sciences. 537. 380–393. 69 indexed citations
9.
Sun, Kai, Richong Zhang, Yongyi Mao, Samuel Mensah, & Xudong Liu. (2020). Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8928–8935. 38 indexed citations
10.
Zhang, Richong, et al.. (2020). Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities. ACM Transactions on Information Systems. 38(4). 1–28. 13 indexed citations
11.
Zhang, Jiqiang, Siping Zhang, Li Chen, & Xudong Liu. (2020). Understanding collective behaviors in reinforcement learning evolutionary games via a belief-based formalization. Physical review. E. 101(4). 42402–42402. 19 indexed citations
12.
Yu, Pan, Xudong Liu, Xiaoli Li, et al.. (2020). Consensus Control for General Multi-Agent Networks Perturbed by Unknown Disturbances. 207. 3211–3216. 1 indexed citations
13.
Zhao, Jun, Xudong Liu, Qiben Yan, et al.. (2020). Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. Computers & Security. 102. 102152–102152. 19 indexed citations
14.
Sun, Kai, Richong Zhang, Samuel Mensah, Yongyi Mao, & Xudong Liu. (2019). Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. 5678–5687. 276 indexed citations breakdown →
15.
Sun, Hailong, et al.. (2016). An efficient and highly available framework of data recency enhancement for eventually consistent data stores. Frontiers of Computer Science. 11(1). 88–104. 12 indexed citations
16.
Li, Jia, Yang Cao, & Xudong Liu. (2016). Approximating Graph Pattern Queries Using Views. Edinburgh Research Explorer. 449–458. 3 indexed citations
17.
Sun, Hailong, et al.. (2014). R-Memcached. 29–30. 4 indexed citations
18.
19.
Wei, Yuan, Hailong Sun, Xu Wang, & Xudong Liu. (2013). Towards Efficient Deployment of Cloud Applications through Dynamic Reverse Proxy Optimization. 800. 651–658. 2 indexed citations
20.
Chen, Xi, Zibin Zheng, Xudong Liu, Zicheng Huang, & Hailong Sun. (2011). Personalized QoS-Aware Web Service Recommendation and Visualization. IEEE Transactions on Services Computing. 6(1). 35–47. 149 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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