Jingguo Ge

1.2k total citations
61 papers, 780 citations indexed

About

Jingguo Ge is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jingguo Ge has authored 61 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 26 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Jingguo Ge's work include Network Security and Intrusion Detection (25 papers), Internet Traffic Analysis and Secure E-voting (17 papers) and Software-Defined Networks and 5G (16 papers). Jingguo Ge is often cited by papers focused on Network Security and Intrusion Detection (25 papers), Internet Traffic Analysis and Secure E-voting (17 papers) and Software-Defined Networks and 5G (16 papers). Jingguo Ge collaborates with scholars based in China, United Kingdom and Australia. Jingguo Ge's co-authors include Yulei Wu, Liangxiong Li, Zhongxia Yan, Tong Li, Yuxiang Ma, Tong Li, Ligong Chen, Xun Liu, Jin Cheng and Tong Li and has published in prestigious journals such as Materials Science and Engineering A, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Jingguo Ge

53 papers receiving 756 citations

Peers

Jingguo Ge
Francesca Meneghello Italy
Zongming Fei United States
Sufyan Almajali Jordan
Lukáš Malina Czechia
Chafika Benzaïd Finland
Kandaraj Piamrat France
Van-Linh Nguyen Taiwan
Xuanxia Yao China
Kai Peng China
Hongjun Choi South Korea
Francesca Meneghello Italy
Jingguo Ge
Citations per year, relative to Jingguo Ge Jingguo Ge (= 1×) peers Francesca Meneghello

Countries citing papers authored by Jingguo Ge

Since Specialization
Citations

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

Fields of papers citing papers by Jingguo Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingguo Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Jingguo Ge. A scholar is included among the top collaborators of Jingguo Ge 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 Jingguo Ge. Jingguo Ge 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.
2.
Zhang, Zheyuan, et al.. (2024). Graph Anomaly Detection via Cross-Layer Integration. 710–717.
3.
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Ding, Shuai, et al.. (2024). Trace Anomaly Detection for Microservice Systems via Graph-based Semi-supervised Learning. 2375–2380. 1 indexed citations
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6.
Liu, Hao, et al.. (2022). Mining Weak Relations Between Reviews for Opinion Spam Detection. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 152–162. 5 indexed citations
7.
Wu, Yulei, Jingguo Ge, & Tong Li. (2022). AI and Machine Learning for Network and Security Management. 1 indexed citations
8.
Ge, Jingguo, et al.. (2022). Towards Zero Touch Networks: From the Perspective of Hierarchical Language Systems. IEEE Network. 1–10. 4 indexed citations
9.
Cheng, Jin, et al.. (2021). MATEC: A lightweight neural network for online encrypted traffic classification. Computer Networks. 199. 108472–108472. 49 indexed citations
10.
Cheng, Jin, et al.. (2021). VNE-HRL: A Proactive Virtual Network Embedding Algorithm Based on Hierarchical Reinforcement Learning. IEEE Transactions on Network and Service Management. 18(4). 4075–4087. 17 indexed citations
11.
Li, Jingzhi, et al.. (2021). Learning Disentangled Representations for Identity Preserving Surveillance Face Camouflage. 9748–9755. 10 indexed citations
12.
Yan, Zhongxia, Jingguo Ge, Yulei Wu, Liangxiong Li, & Tong Li. (2020). Automatic Virtual Network Embedding: A Deep Reinforcement Learning Approach With Graph Convolutional Networks. IEEE Journal on Selected Areas in Communications. 38(6). 1040–1057. 175 indexed citations
13.
Sun, Peijie, et al.. (2020). Context-Aware Learning for Anomaly Detection with Imbalanced Log Data. 449–456. 7 indexed citations
14.
Ge, Jingguo, et al.. (2018). Meek-Based Tor Traffic Identification with Hidden Markov Model. 335–340. 7 indexed citations
15.
Wu, Yulei, et al.. (2016). A kernel-space POF virtual switch. Computers & Electrical Engineering. 61. 339–350. 3 indexed citations
16.
Wu, Yulei, et al.. (2014). A New Lookup Model for Multiple Flow Tables of Open Flow with Implementation and Optimization Considerations. Open Research Exeter (University of Exeter). 528–532. 5 indexed citations
17.
Ge, Jingguo, et al.. (2014). An SR-ISODATA algorithm for IDS alerts aggregation. 19. 92–97. 3 indexed citations
18.
Wu, Yulei, et al.. (2014). Experimental evaluation of consumer mobility on named data networking. 472–176. 4 indexed citations
19.
Li, Zhenyu, Gaogang Xie, Steve Uhlig, et al.. (2014). Insights into the issue in IPv6 adoption: A view from the Chinese IPv6 Application mix. Concurrency and Computation Practice and Experience. 28(3). 616–630. 3 indexed citations
20.
Jing, Hongyang, et al.. (2004). Effects of strength mis-matching on the fracture behavior of nuclear pressure steel A508-III welded joint. Materials Science and Engineering A. 390(1-2). 113–117. 8 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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2026