Chen Chen

11.5k total citations · 4 hit papers
401 papers, 7.7k citations indexed

About

Chen Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Chen Chen has authored 401 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Computer Networks and Communications, 126 papers in Electrical and Electronic Engineering and 78 papers in Artificial Intelligence. Recurrent topics in Chen Chen's work include Vehicular Ad Hoc Networks (VANETs) (76 papers), IoT and Edge/Fog Computing (39 papers) and Opportunistic and Delay-Tolerant Networks (37 papers). Chen Chen is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (76 papers), IoT and Edge/Fog Computing (39 papers) and Opportunistic and Delay-Tolerant Networks (37 papers). Chen Chen collaborates with scholars based in China, United States and United Kingdom. Chen Chen's co-authors include Qingqi Pei, Tie Qiu, Shaohua Wan, Lei Liu, Ning Lv, Sabita Maharjan, Yan Zhang, Zhiyuan Ren, Arun Kumar Sangaiah and Jiange Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Chen Chen

349 papers receiving 7.5k citations

Hit Papers

Vehicular Edge Computing and Networking: A Survey 2019 2026 2021 2023 2020 2020 2019 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen Chen China 48 3.1k 2.7k 1.6k 1.1k 1.0k 401 7.7k
Yue Cao China 49 3.4k 1.1× 4.0k 1.5× 1.5k 1.0× 1.2k 1.1× 1.5k 1.5× 363 9.1k
Zhu Xiao China 39 1.8k 0.6× 1.4k 0.5× 1.2k 0.7× 795 0.7× 583 0.6× 302 5.4k
Shaohua Wan China 61 3.6k 1.2× 2.4k 0.9× 2.9k 1.8× 3.2k 2.9× 1.9k 1.9× 308 11.6k
Carlos T. Calafate Spain 43 3.3k 1.1× 3.3k 1.3× 678 0.4× 738 0.7× 544 0.5× 392 6.7k
Fadi Al‐Turjman Cyprus 56 4.9k 1.6× 2.9k 1.1× 2.8k 1.7× 1.2k 1.1× 2.6k 2.6× 383 11.6k
Andréa Zanella Italy 36 5.2k 1.7× 4.9k 1.8× 818 0.5× 933 0.8× 814 0.8× 237 9.7k
Huadóng Ma China 46 3.4k 1.1× 2.4k 0.9× 1.7k 1.0× 3.0k 2.7× 640 0.6× 516 9.2k
Seungmin Rho South Korea 44 1.9k 0.6× 2.1k 0.8× 1.8k 1.1× 2.1k 1.9× 1.0k 1.0× 329 7.6k
Keping Yu Japan 63 3.4k 1.1× 3.6k 1.4× 3.0k 1.9× 1.8k 1.6× 2.6k 2.6× 362 10.6k
Jinsong Wu China 45 3.6k 1.2× 4.0k 1.5× 1.3k 0.8× 628 0.6× 1.1k 1.1× 270 7.8k

Countries citing papers authored by Chen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Chen. A scholar is included among the top collaborators of Chen 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 Chen Chen. Chen 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.
Chen, Chen, Jinna Hu, Ziye Liu, et al.. (2025). PCD-DB: Enhancing Popular Content Dissemination by Incentivizing V2X Cooperation Among Electric Vehicles Using DAG-Based Blockchain. IEEE Transactions on Intelligent Transportation Systems. 27(3). 3744–3760.
2.
Lee, Ying Loong, et al.. (2025). Joint aerial base station placement and user association for aerial–terrestrial networks: A whale optimization approach. Ad Hoc Networks. 173. 103836–103836. 1 indexed citations
3.
Wang, Wenyan, Enguang Zuo, Chen Chen, et al.. (2024). Efficient time series adaptive representation learning via Dynamic Routing Sparse Attention. Pattern Recognition. 158. 111058–111058. 1 indexed citations
4.
Liu, Xin, Hao Xiang, Dongyang Hou, et al.. (2024). Optimization of Data Access Method for Integrated Digital Management Platform under Restful Data Interface. Procedia Computer Science. 247. 996–1004.
5.
Wang, Wenyan, Enguang Zuo, Ruiting Wang, et al.. (2024). Bi-Branching Feature Interaction Representation Learning for Multivariate Time Series. Applied Soft Computing. 167. 112383–112383.
6.
He, Ci, et al.. (2024). Digital Twin Technology-Based Networking Solution in Low Earth Orbit Satellite Constellations. Electronics. 13(7). 1260–1260. 3 indexed citations
8.
Chen, Chen, et al.. (2024). Fast Abort-Freedom for Deterministic Transactions. 692–704.
9.
Liu, Ziye, Chen Chen, Zhiyi Wang, et al.. (2024). Automated Vehicle Platooning: A Two-Stage Approach Based on Vehicle-Road Cooperation. IEEE Transactions on Intelligent Vehicles. 1–15. 9 indexed citations
10.
11.
Lv, Ning, et al.. (2024). Prominent Structure-Guided Feature Representation for SAR and Optical Image Registration. IEEE Geoscience and Remote Sensing Letters. 21. 1–5.
12.
Zhang, Jianlong, et al.. (2023). Hyperparameter optimization method based on dynamic Bayesian with sliding balance mechanism in neural network for cloud computing. Journal of Cloud Computing Advances Systems and Applications. 12(1). 3 indexed citations
13.
Ning, Xuefei, Zixuan Zhou, Tianchen Zhao, et al.. (2023). Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11316–11326. 1 indexed citations
14.
Li, Hongyi, Enguang Zuo, Tianle Li, et al.. (2023). CSGNN: Contamination Warning and Control of Food Quality via Contrastive Self-Supervised Learning-Based Graph Neural Network. Foods. 12(5). 1048–1048. 4 indexed citations
15.
Chen, Chen, et al.. (2022). Enhancing the robustness of object detection via 6G vehicular edge computing. Digital Communications and Networks. 8(6). 923–931. 24 indexed citations
16.
Chen, Chen, Huan Li, Xiang Li, et al.. (2021). A geographic routing protocol based on trunk line in VANETs. Digital Communications and Networks. 7(4). 479–491. 10 indexed citations
17.
Chen, Chen, Cong Wang, Tie Qiu, Mohammed Atiquzzaman, & Dapeng Wu. (2020). Caching in Vehicular Named Data Networking: Architecture, Schemes and Future Directions. IEEE Communications Surveys & Tutorials. 22(4). 2378–2407. 103 indexed citations
18.
Liu, Hao, Tie Qiu, Xiaobo Zhou, Chen Chen, & Ning Chen. (2019). Parking-Area-Assisted Spider-Web Routing Protocol for Emergency Data in Urban VANET. IEEE Transactions on Vehicular Technology. 69(1). 971–982. 34 indexed citations
19.
Chen, Chen, Tingting Xiao, Tie Qiu, Ning Lv, & Qingqi Pei. (2019). Smart-Contract-Based Economical Platooning in Blockchain-Enabled Urban Internet of Vehicles. IEEE Transactions on Industrial Informatics. 16(6). 4122–4133. 86 indexed citations
20.
Chen, Chen, Cong Wang, Tie Qiu, Zhigang Xu, & Houbing Song. (2019). A Robust Active Safety Enhancement Strategy With Learning Mechanism in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems. 21(12). 5160–5176. 6 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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