Cong Shen

3.2k total citations
151 papers, 2.1k citations indexed

About

Cong Shen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Cong Shen has authored 151 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Electrical and Electronic Engineering, 74 papers in Computer Networks and Communications and 52 papers in Artificial Intelligence. Recurrent topics in Cong Shen's work include Advanced MIMO Systems Optimization (36 papers), Privacy-Preserving Technologies in Data (28 papers) and Advanced Bandit Algorithms Research (24 papers). Cong Shen is often cited by papers focused on Advanced MIMO Systems Optimization (36 papers), Privacy-Preserving Technologies in Data (28 papers) and Advanced Bandit Algorithms Research (24 papers). Cong Shen collaborates with scholars based in United States, China and United Kingdom. Cong Shen's co-authors include Fei Liang, Feng Wu, Jie Xu, Mihaela van der Schaar, Michael P. Fitz, Lixing Chen, Xiang Chen, Wei Yu, Shengbo Chen and Pan Zhou and has published in prestigious journals such as Earth and Planetary Science Letters, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Cong Shen

141 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Shen United States 24 1.2k 1.1k 681 157 134 151 2.1k
Tat-Ming Lok Hong Kong 17 676 0.6× 694 0.6× 406 0.6× 79 0.5× 86 0.6× 69 1.6k
Qingxin Zhu China 25 880 0.8× 1.4k 1.2× 868 1.3× 368 2.3× 84 0.6× 121 3.0k
Xicheng Lu China 23 818 0.7× 1.8k 1.5× 374 0.5× 347 2.2× 175 1.3× 152 2.5k
Gerd Ascheid Germany 26 1.9k 1.6× 1.6k 1.4× 356 0.5× 56 0.4× 235 1.8× 375 3.2k
Hongjian Liu China 37 880 0.8× 2.5k 2.1× 1.1k 1.6× 46 0.3× 107 0.8× 158 4.3k
Usman A. Khan United States 26 887 0.8× 2.0k 1.8× 1.0k 1.5× 44 0.3× 219 1.6× 126 2.9k
Sławomir Stańczak Germany 25 2.3k 1.9× 1.9k 1.6× 349 0.5× 35 0.2× 264 2.0× 311 2.9k
Mallikarjun Shankar Luxembourg 26 969 0.8× 741 0.6× 266 0.4× 72 0.5× 797 5.9× 151 2.1k
Torbjörn Ekman Norway 27 971 0.8× 814 0.7× 565 0.8× 455 2.9× 233 1.7× 107 2.0k
P. Banerjee United States 25 1.2k 1.0× 954 0.8× 234 0.3× 95 0.6× 95 0.7× 168 2.3k

Countries citing papers authored by Cong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Cong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Shen. A scholar is included among the top collaborators of Cong Shen 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 Cong Shen. Cong Shen 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, Shengbo, et al.. (2025). A Radical Heavy-Ball Method for Gradient Acceleration in Communication-Efficient Mobile Federated Learning. IEEE Transactions on Mobile Computing. 1–13.
2.
Wang, Xijun, et al.. (2025). Federated Learning for Diffusion Models. IEEE Transactions on Cognitive Communications and Networking. 11(6). 4093–4109. 1 indexed citations
3.
Shen, Cong, et al.. (2025). Indirect-Communication Federated Learning via Mobile Transporters. IEEE Transactions on Mobile Computing. 24(6). 4845–4857.
4.
Liao, Zhiyi, et al.. (2025). Experimental investigation of the precursor characteristics and early warning of coal burst based on quantitative analysis of acoustic emission signals. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 11(1). 1 indexed citations
5.
Shen, Cong, et al.. (2024). An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning. 5565–5570. 1 indexed citations
6.
Yang, Kun, et al.. (2024). Offline Reinforcement Learning for Wireless Network Optimization With Mixture Datasets. IEEE Transactions on Wireless Communications. 23(10). 12703–12716. 9 indexed citations
7.
Wang, Sihua, Mingzhe Chen, Cong Shen, Changchuan Yin, & Christopher G. Brinton. (2024). Digital Over-the-Air Federated Learning in Multi-Antenna Systems. IEEE Transactions on Wireless Communications. 23(10). 15125–15141. 2 indexed citations
8.
Luo, Liang, Xinyi Wang, Hongjun Xie, et al.. (2024). Role of [18F]-PSMA-1007 PET radiomics for seminal vesicle invasion prediction in primary prostate cancer. Computers in Biology and Medicine. 183. 109249–109249. 3 indexed citations
9.
Qi, Hengnian, et al.. (2023). Rapid and non-destructive determination of soluble solid content of crown pear by visible/near-infrared spectroscopy with deep learning regression. Journal of Food Composition and Analysis. 123. 105585–105585. 38 indexed citations
10.
Shen, Cong, et al.. (2023). Random Orthogonalization for Federated Learning in Massive MIMO Systems. IEEE Transactions on Wireless Communications. 23(3). 2469–2485. 9 indexed citations
11.
Li, Le, et al.. (2023). Performance Optimization for Noise Interference Privacy Protection in Federated Learning. IEEE Transactions on Cognitive Communications and Networking. 9(5). 1322–1339. 1 indexed citations
12.
13.
Bell, David, et al.. (2022). A Simulation Tool for Calculation of Engine Thermal Boundary Conditions. SAE International Journal of Advances and Current Practices in Mobility. 4(6). 2362–2378. 3 indexed citations
14.
Shen, Cong, Jing Yang, & Jie Xu. (2022). On Federated Learning with Energy Harvesting Clients. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8657–8661. 11 indexed citations
15.
Shen, Cong, et al.. (2021). Federated Multi-armed Bandits with Personalization.. International Conference on Artificial Intelligence and Statistics. 2917–2925. 2 indexed citations
16.
Yang, Jing, et al.. (2020). Cost-Aware Cascading Bandits. IEEE Transactions on Signal Processing. 68. 3692–3706. 7 indexed citations
17.
Xiong, Wei, et al.. (2020). Decentralized Multi-player Multi-armed Bandits with No Collision Information. International Conference on Artificial Intelligence and Statistics. 1519–1528. 2 indexed citations
18.
Liang, Fei, Cong Shen, Wei Yu, & Feng Wu. (2019). Towards Optimal Power Control via Ensembling Deep Neural Networks. IEEE Transactions on Communications. 68(3). 1760–1776. 197 indexed citations
19.
20.
Yang, Jing, et al.. (2018). Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. IEEE Transactions on Cognitive Communications and Networking. 5(1). 15–27. 7 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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