Keshav Singh

4.5k total citations
246 papers, 3.0k citations indexed

About

Keshav Singh is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Keshav Singh has authored 246 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Electrical and Electronic Engineering, 100 papers in Aerospace Engineering and 85 papers in Computer Networks and Communications. Recurrent topics in Keshav Singh's work include Advanced Wireless Communication Technologies (117 papers), Full-Duplex Wireless Communications (64 papers) and Advanced MIMO Systems Optimization (57 papers). Keshav Singh is often cited by papers focused on Advanced Wireless Communication Technologies (117 papers), Full-Duplex Wireless Communications (64 papers) and Advanced MIMO Systems Optimization (57 papers). Keshav Singh collaborates with scholars based in Taiwan, India and United Kingdom. Keshav Singh's co-authors include Chih–Peng Li, Sandeep Kumar Singh, Mayur Katwe, Ankur Bansal, Sudip Biswas, Tharmalingam Ratnarajah, Kamal Agrawal, Bruno Clerckx, Bishmita Hazarika and Meng‐Lin Ku and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Keshav Singh

213 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keshav Singh Taiwan 32 2.4k 1.3k 918 203 116 246 3.0k
Ming Zeng Canada 28 2.9k 1.2× 959 0.8× 626 0.7× 266 1.3× 113 1.0× 119 3.3k
Chih–Peng Li Taiwan 32 2.5k 1.0× 978 0.8× 1.1k 1.3× 252 1.2× 132 1.1× 209 2.9k
Dinh‐Thuan Do Vietnam 34 2.8k 1.2× 1.1k 0.8× 882 1.0× 187 0.9× 80 0.7× 229 3.4k
Jingon Joung South Korea 29 2.8k 1.2× 946 0.7× 1.5k 1.6× 195 1.0× 93 0.8× 170 3.2k
Yongjun Xu China 25 2.2k 0.9× 839 0.7× 1.2k 1.3× 148 0.7× 96 0.8× 196 2.9k
Zheng Chu United Kingdom 40 4.3k 1.8× 1.7k 1.4× 1.2k 1.4× 187 0.9× 133 1.1× 163 4.9k
Heejung Yu South Korea 24 1.6k 0.7× 580 0.5× 1.1k 1.2× 214 1.1× 102 0.9× 144 2.3k
Gongpu Wang China 31 3.9k 1.6× 1.3k 1.0× 1.1k 1.2× 126 0.6× 84 0.7× 188 4.4k
Lu Lv China 27 2.4k 1.0× 597 0.5× 844 0.9× 258 1.3× 84 0.7× 83 2.7k
Arafat Al‐Dweik United Arab Emirates 30 2.2k 0.9× 486 0.4× 1.1k 1.3× 287 1.4× 124 1.1× 181 2.8k

Countries citing papers authored by Keshav Singh

Since Specialization
Citations

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

Fields of papers citing papers by Keshav Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keshav Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Keshav Singh. A scholar is included among the top collaborators of Keshav Singh 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 Keshav Singh. Keshav Singh 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.
Singh, Keshav, et al.. (2025). Dual-LLM Integration With Reconfigurable Intelligent Surface for Healthcare Networks. IEEE Transactions on Communications. 73(11). 11323–11339.
2.
Singh, Keshav, et al.. (2025). Secure RIS-Aided FD NOMA Communications for Hardware Impaired IoT Networks. IEEE Internet of Things Journal. 12(14). 28332–28347.
3.
Singh, Sandeep Kumar, et al.. (2024). Green Multi-Active RIS-Aided Secure Full-Duplex IoT Networks With Imperfect CSI: A Power Minimization Approach. IEEE Internet of Things Journal. 12(8). 10932–10947. 2 indexed citations
4.
Paul, Anal, et al.. (2024). Hybridized MA-DRL for Serving xURLLC With Cognizable RIS and UAV Integration. IEEE Transactions on Wireless Communications. 23(10). 15507–15524. 8 indexed citations
5.
Singh, Keshav, et al.. (2024). Hardware Impairment Aware Transmit Power Minimization for Secure RIS-Aided Full-Duplex NOMA Communications. IEEE Transactions on Green Communications and Networking. 9(3). 1153–1166. 2 indexed citations
6.
Hazarika, Bishmita, et al.. (2024). Augmented Multiagent DRL for Multi-Incentive Task Prioritization in Vehicular Crowdsensing. IEEE Internet of Things Journal. 11(22). 36140–36156. 6 indexed citations
7.
Paul, Anal, Bishmita Hazarika, Keshav Singh, Shahid Mumtaz, & Chih–Peng Li. (2024). Deep Learning-Based Semantic Interaction Network: Advancing IoT Data Modeling for Interoperability. 135–140.
8.
Singh, Keshav, et al.. (2024). Hybrid Deep Reinforcement Learning for Enhancing Localization and Communication Efficiency in RIS-Aided Cooperative ISAC Systems. IEEE Internet of Things Journal. 11(18). 29494–29510. 16 indexed citations
9.
Singh, Keshav, et al.. (2024). Backscatter-Enabled RIS-Assisted NOMA ISAC. 117–122. 1 indexed citations
10.
Hazarika, Bishmita, et al.. (2024). DRL-Based Federated Learning for Efficient Vehicular Caching Management. IEEE Internet of Things Journal. 11(21). 34156–34171. 13 indexed citations
11.
Paul, Anal, Keshav Singh, Chih–Peng Li, Octavia A. Dobre, & Trung Q. Duong. (2024). Digital Twin-Aided Vehicular Edge Network: A Large-Scale Model Optimization by Quantum-DRL. IEEE Transactions on Vehicular Technology. 74(2). 2156–2173. 10 indexed citations
12.
Shaik, Parvez, et al.. (2024). Performance Analysis of IRS Assisted Full-Duplex Systems With Different Downlink and Uplink Users. IEEE Transactions on Vehicular Technology. 73(10). 15848–15853. 4 indexed citations
13.
Wang, Rong, Yi Lou, Ning Wang, et al.. (2024). Secrecy Performance Analysis of UAV-Assisted Ambient Backscatter Communications With Jamming. IEEE Transactions on Wireless Communications. 23(12). 18111–18125. 7 indexed citations
14.
Singh, Keshav, et al.. (2024). Dynamic User Clustering and Backscatter-Enabled RIS-Assisted NOMA ISAC. IEEE Transactions on Wireless Communications. 23(8). 9173–9189. 18 indexed citations
15.
16.
Khowaja, Sunder Ali, Parus Khuwaja, Kapal Dev, et al.. (2024). ZETA: ZEro-Trust Attack Framework with Split Learning for Autonomous Vehicles in 6G Networks. 1–6. 7 indexed citations
17.
Paul, Anal, Keshav Singh, Chih–Peng Li, & Trung Q. Duong. (2024). URLLC Latency Minimization in Interweave CRNs Using Digital Twin and DRL Approach. 2773–2778.
18.
Jee, Anand, et al.. (2023). RIS-Aided Integrated Sensing and Communications. 5080–5085. 6 indexed citations
19.
Katwe, Mayur, et al.. (2023). Resource Allocation Design for Spectral-Efficient URLLC Using RIS-Aided FD-NOMA System. IEEE Wireless Communications Letters. 12(7). 1209–1213. 15 indexed citations
20.
Taghizadeh, Omid, et al.. (2023). Robust Beamformer Design in Active RIS-Assisted Multiuser MIMO Cognitive Radio Networks. IEEE Transactions on Cognitive Communications and Networking. 9(2). 398–413. 44 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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