Jue Chen

615 total citations
36 papers, 221 citations indexed

About

Jue Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jue Chen has authored 36 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Jue Chen's work include Software-Defined Networks and 5G (14 papers), Network Security and Intrusion Detection (7 papers) and Advanced Optical Network Technologies (7 papers). Jue Chen is often cited by papers focused on Software-Defined Networks and 5G (14 papers), Network Security and Intrusion Detection (7 papers) and Advanced Optical Network Technologies (7 papers). Jue Chen collaborates with scholars based in China, Germany and Singapore. Jue Chen's co-authors include Dirk Uwe Sauer, Weihan Li, Xihe Qiu, Wei Zhang, Yu-Jie Xiong, Xiaoyan Jiang, Junlong Zhou, Caixia Chen, Wenjing Lv and Meng Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Jue Chen

30 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jue Chen China 8 117 77 77 30 24 36 221
Oyunchimeg Shagdar France 9 170 1.5× 110 1.4× 56 0.7× 32 1.1× 16 0.7× 39 238
DongHwa Shin South Korea 7 181 1.5× 66 0.9× 121 1.6× 51 1.7× 19 0.8× 11 336
Alexander Pelov France 7 216 1.8× 106 1.4× 61 0.8× 43 1.4× 12 0.5× 24 275
Ion Turcanu Luxembourg 12 243 2.1× 202 2.6× 47 0.6× 36 1.2× 20 0.8× 44 320
Yosub Park South Korea 11 306 2.6× 128 1.7× 34 0.4× 24 0.8× 8 0.3× 25 331
Muhamad Husaini Abu Bakar Malaysia 6 138 1.2× 110 1.4× 42 0.5× 16 0.5× 57 2.4× 17 223
Pampa Sadhukhan India 9 134 1.1× 68 0.9× 29 0.4× 25 0.8× 11 0.5× 19 253
May Wu United States 4 214 1.8× 113 1.5× 41 0.5× 31 1.0× 65 2.7× 10 280
David Gurney United States 7 209 1.8× 197 2.6× 45 0.6× 22 0.7× 46 1.9× 14 347
Waqar Anwar Germany 11 316 2.7× 190 2.5× 45 0.6× 32 1.1× 15 0.6× 15 359

Countries citing papers authored by Jue Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jue Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jue Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jue Chen. A scholar is included among the top collaborators of Jue Chen 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 Jue Chen. Jue Chen 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.
Qiu, Xihe, et al.. (2025). Reward guidance for reinforcement learning tasks based on large language models: The LMGT framework. Knowledge-Based Systems. 322. 113689–113689.
2.
Chen, Jue, et al.. (2025). GCB-PPO2: A Hybrid Deep Reinforcement Learning Intrusion Detection System for Under-Represented Attack Categories in SDN. IEEE Transactions on Network Science and Engineering. 13. 84–101.
3.
Chen, Jue, et al.. (2025). Global sensitivity analysis towards non-invasive parameterization of the electrochemical-thermal model for lithium-ion batteries. Advances in Applied Energy. 18. 100221–100221. 2 indexed citations
4.
Chen, Jue, et al.. (2025). MOOO-RDQN: A deep reinforcement learning based method for multi-objective optimization of controller placement and traffic monitoring in SDN. Journal of Network and Computer Applications. 242. 104253–104253. 2 indexed citations
5.
Zhang, Caiping, Jue Chen, Zeping Chen, et al.. (2025). Sensorless battery expansion estimation using electromechanical coupled models and machine learning. Journal of Energy Chemistry. 105. 142–157. 6 indexed citations
6.
Chen, Jue, et al.. (2024). QoS-driven resource allocation in fog radio access network: A VR service perspective. Mathematical Biosciences & Engineering. 21(1). 1573–1589. 2 indexed citations
7.
Chen, Guang, et al.. (2024). BrainQN: Enhancing the Robustness of Deep Reinforcement Learning with Spiking Neural Networks. SHILAP Revista de lepidopterología. 6(9).
8.
Cui, Meng, et al.. (2024). Multi-class intrusion detection system in SDN based on hybrid BiLSTM model. Cluster Computing. 27(7). 9937–9956. 9 indexed citations
9.
Zhang, Yue, et al.. (2024). GRAN: a SDN intrusion detection model based on graph attention network and residual learning. The Computer Journal. 68(3). 241–260. 1 indexed citations
10.
Li, Bin, et al.. (2024). Adaptive heterogeneous graph reasoning for relational understanding in interconnected systems. The Journal of Supercomputing. 81(1). 5 indexed citations
11.
Xiong, Yu-Jie, et al.. (2023). CODP-1200: An AIGC based benchmark for assisting in child language acquisition. Displays. 82. 102627–102627. 7 indexed citations
12.
Wang, Bingsen, Jian Cao, Jue Chen, Shuo Feng, & Yuan Wang. (2023). A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness. 3067–3075. 4 indexed citations
13.
Qian, Jiahui, Xihe Qiu, Xiaoyu Tan, et al.. (2022). An Attentive LSTM based approach for adverse drug reactions prediction. Applied Intelligence. 7 indexed citations
15.
Li, Weihan, et al.. (2022). Battery degradation diagnosis with field data, impedance-based modeling and artificial intelligence. Energy storage materials. 53. 391–403. 70 indexed citations
16.
Chen, Jue, et al.. (2022). A Density-based Controller Placement Algorithm for Software Defined Networks. 287–291. 3 indexed citations
17.
Chen, Jue, et al.. (2021). Research on joint computation offloading and resource allocation strategy for mobile edge computing. Huadong Shifan Daxue xuebao. Ziran kexue ban. 2021(6). 88. 1 indexed citations
18.
19.
Chen, Jue, et al.. (2020). Recovery and Reconstruction of Multicast Tree in Software-Defined Network: High Speed and Low Cost. IEEE Access. 8. 27188–27201. 4 indexed citations
20.
Chen, Kean, et al.. (2012). Two kinds of timbre representations and its application into acoustic target classification. The Journal of the Acoustical Society of America. 131(4_Supplement). 3313–3313. 2 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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