Cong Shen

3.2k citations
151 papers · 2.1k indexed · h-index 24

Impact in

Papers in

Cong Shen

141 papers receiving 2.1k citations

Peers

Cong Shen
Comparison fields: 5 of 102
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 681
  • Electrical and Electronic Engineering 1.2k
  • Health Informatics 15
  • Management Science and Operations Research 120
Replace Mallikarjun Shankar with:
Mallikarjun Shankar Luxembourg
Antonio G. Marqués Spain
Yan Luo United States
Gerd Ascheid Germany
Qihui Wu China
Peter Richtárik United Kingdom
Qingxin Zhu China
Torbjörn Ekman Norway
Jianghui Cai China
Sławomir Stańczak Germany
Cong Shen relative to Mallikarjun Shankar Luxembourg Mallikarjun Shankar's profile →
Citations per field
00.5×3.5×
Mallikarjun Shankar · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Cong Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cong Shen Line = papers co-authored together Cong Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018198
2 2019197
3 2019148
4 2020134
5 200974
6 202173
7 202259
8 200854
9 201647
10 202043
11 201842
12 202338
13 201837
14 202036
15 202035
16 202134
17 201730
18 202230
19 201028
20 201128

About Cong Shen

Cong Shen is a scholar working on Computer Networks and Communications, Management Science and Operations Research, Computational Mathematics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 151 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (36 papers), Privacy-Preserving Technologies in Data (28 papers), Advanced Bandit Algorithms Research (24 papers), Cooperative Communication and Network Coding (22 papers), Advanced Wireless Network Optimization (19 papers), Stochastic Gradient Optimization Techniques (18 papers), Advanced Wireless Communication Techniques (12 papers) and Cognitive Radio Networks and Spectrum Sensing (10 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Artificial Intelligence (681 citations), Electrical and Electronic Engineering (1.2k citations), Health Informatics (15 citations) and Management Science and Operations Research (120 citations). Cong Shen has collaborated with scholars based in United States, China and United Kingdom. Frequent 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. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications, Optics Communications and IEEE Transactions on Mobile Computing.

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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