Rashid Ali

2.5k total citations · 1 hit paper
74 papers, 1.5k citations indexed

About

Rashid Ali is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Rashid Ali has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 36 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Rashid Ali's work include Wireless Networks and Protocols (21 papers), IoT and Edge/Fog Computing (17 papers) and Cooperative Communication and Network Coding (16 papers). Rashid Ali is often cited by papers focused on Wireless Networks and Protocols (21 papers), IoT and Edge/Fog Computing (17 papers) and Cooperative Communication and Network Coding (16 papers). Rashid Ali collaborates with scholars based in South Korea, China and Pakistan. Rashid Ali's co-authors include Sung Won Kim, Yousaf Bin Zikria, Byung-Seo Kim, Muhammad Ali Naeem, Yahui Meng, Nurullah Shahin, Hyung Seok Kim, Muhammad Khalil Afzal, Ali Kashif Bashir and Amir Haider and has published in prestigious journals such as Circulation, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Rashid Ali

68 papers receiving 1.5k citations

Hit Papers

Next-Generation Internet of Things (IoT): Opportunities, ... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashid Ali South Korea 25 1.0k 697 195 158 111 74 1.5k
Latif Ladid Luxembourg 7 746 0.7× 745 1.1× 178 0.9× 132 0.8× 85 0.8× 18 1.3k
Gianluca Rizzo Switzerland 12 882 0.8× 988 1.4× 124 0.6× 98 0.6× 95 0.9× 55 1.5k
Jong‐Moon Chung South Korea 21 1.1k 1.0× 930 1.3× 241 1.2× 125 0.8× 134 1.2× 172 1.6k
Raed Alsaqour Saudi Arabia 19 902 0.9× 688 1.0× 129 0.7× 212 1.3× 117 1.1× 86 1.4k
Lukman Audah‏ Malaysia 21 772 0.7× 1.1k 1.5× 106 0.5× 155 1.0× 143 1.3× 119 1.5k
Hassine Moungla France 21 1.2k 1.1× 475 0.7× 253 1.3× 191 1.2× 72 0.6× 72 1.5k
Vũ Khánh Quý Vietnam 16 642 0.6× 431 0.6× 215 1.1× 117 0.7× 60 0.5× 49 1.2k
Sameer Qazi Pakistan 10 547 0.5× 480 0.7× 186 1.0× 169 1.1× 196 1.8× 32 1.3k
Safdar Hussain Bouk South Korea 24 1.4k 1.4× 797 1.1× 145 0.7× 96 0.6× 52 0.5× 86 1.7k
Alfredo Grieco Italy 4 557 0.5× 679 1.0× 113 0.6× 84 0.5× 85 0.8× 6 1.0k

Countries citing papers authored by Rashid Ali

Since Specialization
Citations

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

Fields of papers citing papers by Rashid Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashid Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Rashid Ali. A scholar is included among the top collaborators of Rashid Ali 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 Rashid Ali. Rashid Ali 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.
Hussain, Saddam, et al.. (2024). Termites Onslaught in Pakistan: An In Depth Review of Agricultural Impacts. Pakistan Journal of Agricultural Research. 37(2).
2.
Hussain, Faisal, et al.. (2023). Collision-Based Up-Link OFDMA Random Access Mechanism for Wi-Fi 6. IEEE Access. 11. 117094–117109. 2 indexed citations
3.
Ali, Rashid, et al.. (2023). RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet. IEEE Access. 11. 141277–141288. 3 indexed citations
4.
Ali, Rashid, et al.. (2023). Learning-Based Adaptive Sliding-Window RLNC for High Bandwidth-Delay Product Networks. IEEE Access. 11. 78835–78844. 5 indexed citations
5.
Naeem, Muhammad Ali, Yousaf Bin Zikria, Rashid Ali, et al.. (2022). Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective. Digital Communications and Networks. 9(5). 1033–1052. 23 indexed citations
6.
Tanveer, Jawad, et al.. (2022). An Overview of Reinforcement Learning Algorithms for Handover Management in 5G Ultra-Dense Small Cell Networks. Applied Sciences. 12(1). 426–426. 53 indexed citations
7.
Ali, Rashid, et al.. (2022). Reinforcement Learning-Aided Edge Intelligence Framework for Delay-Sensitive Industrial Applications. Sensors. 22(20). 8001–8001. 5 indexed citations
9.
Ali, Rashid, et al.. (2022). QoS Provisioning: Key Drivers and Enablers Toward the Tactile Internet in Beyond 5G Era. IEEE Access. 10. 85720–85754. 11 indexed citations
10.
Khalid, Waqas, Heejung Yu, Rashid Ali, & Rehmat Ullah. (2021). Advanced Physical-Layer Technologies for Beyond 5G Wireless Communication Networks. Sensors. 21(9). 3197–3197. 23 indexed citations
11.
Naeem, Muhammad Ali, Tu N. Nguyen, Rashid Ali, et al.. (2021). Hybrid Cache Management in IoT-Based Named Data Networking. IEEE Internet of Things Journal. 9(10). 7140–7150. 108 indexed citations
12.
Ali, Rashid, et al.. (2021). Intelligent Stretch Optimization in Information Centric Networking-Based Tactile Internet Applications. Applied Sciences. 11(16). 7351–7351. 7 indexed citations
13.
Ali, Rashid, Yousaf Bin Zikria, Ali Kashif Bashir, Sahil Garg, & Hyung Seok Kim. (2021). URLLC for 5G and Beyond: Requirements, Enabling Incumbent Technologies and Network Intelligence. IEEE Access. 9. 67064–67095. 92 indexed citations
14.
Tanveer, Jawad, et al.. (2021). Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey. Electronics. 11(1). 121–121. 27 indexed citations
15.
Almagrabi, Alaa Omran, et al.. (2021). Sliding Group Window with Rebacking off for Collision Avoidance in High-Efficiency Wireless Networks. Mathematics. 9(19). 2461–2461.
16.
Almagrabi, Alaa Omran, Rashid Ali, Daniyal Alghazzawi, Abdullah Al-Barakati, & Tahir Khurshaid. (2021). A Reinforcement Learning-Based Framework for Crowdsourcing in Massive Health Care Internet of Things. Big Data. 10(2). 161–170. 11 indexed citations
17.
Ali, Rashid, et al.. (2021). PAKES: A Reinforcement Learning-Based Personalized Adaptability Knowledge Extraction Strategy for Adaptive Learning Systems. IEEE Access. 9. 155123–155137. 13 indexed citations
18.
Ali, Rashid, et al.. (2021). IoTactileSim: A Virtual Testbed for Tactile Industrial Internet of Things Services. Sensors. 21(24). 8363–8363. 8 indexed citations
19.
Almagrabi, Alaa Omran, Rashid Ali, Daniyal Alghazzawi, Abdullah Al-Barakati, & Tahir Khurshaid. (2021). A Poisson Process-Based Random Access Channel for 5G and Beyond Networks. Mathematics. 9(5). 508–508. 6 indexed citations
20.
Meng, Yahui, Muhammad Ali Naeem, Alaa Omran Almagrabi, Rashid Ali, & Hyung Seok Kim. (2020). Advancing the State of the Fog Computing to Enable 5G Network Technologies. Sensors. 20(6). 1754–1754. 34 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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