Muhammad Shafiq

10.8k total citations · 5 hit papers
266 papers, 7.2k citations indexed

About

Muhammad Shafiq is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Muhammad Shafiq has authored 266 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Networks and Communications, 60 papers in Artificial Intelligence and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Muhammad Shafiq's work include Network Security and Intrusion Detection (30 papers), Advanced Malware Detection Techniques (22 papers) and Internet Traffic Analysis and Secure E-voting (21 papers). Muhammad Shafiq is often cited by papers focused on Network Security and Intrusion Detection (30 papers), Advanced Malware Detection Techniques (22 papers) and Internet Traffic Analysis and Secure E-voting (21 papers). Muhammad Shafiq collaborates with scholars based in Pakistan, China and United States. Muhammad Shafiq's co-authors include Alex X. Liu, Zhaoquan Gu, Zhihong Tian, Lusheng Ji, Ali Kashif Bashir, Mohsen Guizani, Xiaojiang Du, Jia Wang, Jeffrey Pang and Asif Ali Laghari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Applied Physics Letters.

In The Last Decade

Muhammad Shafiq

249 papers receiving 6.9k citations

Hit Papers

Deep Residual Learning for Image Recognition: A Survey 2020 2026 2022 2024 2022 2020 2020 2020 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
Muhammad Shafiq Pakistan 45 2.9k 1.8k 1.2k 1.2k 1.1k 266 7.2k
Iqbal H. Sarker Bangladesh 32 1.5k 0.5× 2.6k 1.4× 1.3k 1.1× 582 0.5× 956 0.8× 102 8.4k
Kuan‐Ching Li Taiwan 45 2.8k 1.0× 2.7k 1.5× 3.0k 2.5× 1.4k 1.2× 527 0.5× 467 8.1k
Jianqiang Li China 55 2.0k 0.7× 2.7k 1.5× 1.0k 0.9× 1.3k 1.1× 609 0.5× 495 11.8k
Anand Nayyar Vietnam 46 2.2k 0.8× 1.6k 0.9× 1.5k 1.3× 1.7k 1.4× 314 0.3× 312 7.7k
Dan Wang China 44 2.8k 1.0× 1.1k 0.6× 988 0.8× 2.0k 1.7× 274 0.2× 598 8.8k
Chang Liu China 45 1.4k 0.5× 2.1k 1.1× 957 0.8× 3.1k 2.6× 470 0.4× 574 10.1k
Mohamed Elhoseny Egypt 59 3.1k 1.1× 2.9k 1.6× 2.1k 1.8× 1.5k 1.3× 491 0.4× 253 10.5k
Jian Ma China 43 2.7k 0.9× 2.7k 1.5× 1.3k 1.1× 1.8k 1.5× 530 0.5× 344 8.6k
Sotiris Kotsiantis Greece 32 927 0.3× 4.9k 2.7× 1.7k 1.4× 758 0.7× 649 0.6× 185 11.3k
Václav Snåšel Czechia 38 1.0k 0.3× 2.7k 1.5× 970 0.8× 1.1k 0.9× 516 0.4× 572 7.4k

Countries citing papers authored by Muhammad Shafiq

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shafiq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shafiq

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shafiq. A scholar is included among the top collaborators of Muhammad Shafiq 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 Muhammad Shafiq. Muhammad Shafiq 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
2.
Shafiq, Muhammad, et al.. (2024). Examining the Influence of Adoptability, Alignment, and Agility Approaches on the Sustainable Performance of Aviation Industry: An Empirical Investigation of Supply Chain Perspective. International Journal of Aviation Aeronautics and Aerospace. 11(1). 5 indexed citations
3.
Yuan, Ye, Mengqian Zhang, Muhammad Shafiq, et al.. (2024). Toxic effects of heavy metals on crustaceans and associated health risks in humans: a review. Environmental Chemistry Letters. 22(3). 1391–1411. 53 indexed citations
5.
Shafiq, Muhammad, et al.. (2024). Discharge Characteristics for Surface Discharges at Variable Atmospheric Pressure. 409–412. 2 indexed citations
6.
Qiu, Jing, Yang Lin, Hao Chen, et al.. (2023). Diverse classifiers with label dependencies for long-tail relation extraction in big data. Computers & Electrical Engineering. 110. 108812–108812. 1 indexed citations
7.
Mohsan, Syed Agha Hassnain, Dun Li, Zhiyun Zheng, et al.. (2023). HyproBert: A Fake News Detection Model Based on Deep Hypercontext. Symmetry. 15(2). 296–296. 26 indexed citations
8.
Hussain, Ghulam Amjad, Waqar Hassan, Farhan Mahmood, et al.. (2023). Review on Partial Discharge Diagnostic Techniques for High Voltage Equipment in Power Systems. IEEE Access. 11. 51382–51394. 46 indexed citations
9.
Zhang, Huan, et al.. (2023). Medical Specialty Classification Based on Semiadversarial Data Augmentation. Computational Intelligence and Neuroscience. 2023(1). 4919371–4919371.
10.
Hassan, Waqar, Ghulam Amjad Hussain, Farhan Mahmood, Muhammad Shafiq, & Gian Carlo Montanari. (2023). Effects of Temperature and Pressure on Failure Risk of Electric Motors based on Partial Discharge Measurements. IEEE Transactions on Aerospace and Electronic Systems. 1–9. 9 indexed citations
11.
Teng, Lin, Yulong Qiao, Muhammad Shafiq, et al.. (2023). FLPK-BiSeNet: Federated Learning Based on Priori Knowledge and Bilateral Segmentation Network for Image Edge Extraction. IEEE Transactions on Network and Service Management. 20(2). 1529–1542. 20 indexed citations
12.
Jia, Yan, et al.. (2023). Extracting Novel Attack Strategies for Industrial Cyber-Physical Systems Based on Cyber Range. IEEE Systems Journal. 17(4). 5292–5302. 4 indexed citations
13.
Shafiq, Muhammad, Zhaoquan Gu, Omar Cheikhrouhou, Wajdi Alhakami, & Habib Hamam. (2022). The Rise of “Internet of Things”: Review and Open Research Issues Related to Detection and Prevention of IoT‐Based Security Attacks. Wireless Communications and Mobile Computing. 2022(1). 69 indexed citations
14.
Wang, Le, et al.. (2022). Adversarial Attack and Defense Strategies of Speaker Recognition Systems: A Survey. Electronics. 11(14). 2183–2183. 24 indexed citations
15.
Shafiq, Muhammad & Zhaoquan Gu. (2022). Deep Residual Learning for Image Recognition: A Survey. Applied Sciences. 12(18). 8972–8972. 496 indexed citations breakdown →
16.
Shafiq, Muhammad, Zhaoquan Gu, Shah Nazir, & Rahul Yadav. (2022). Analyzing IoT Attack Feature Association with Threat Actors. Wireless Communications and Mobile Computing. 2022(1). 3 indexed citations
17.
Yadav, Rahul, Weizhe Zhang, Ibrahim A. Elgendy, et al.. (2021). Smart Healthcare: RL-Based Task Offloading Scheme for Edge-Enable Sensor Networks. IEEE Sensors Journal. 21(22). 24910–24918. 111 indexed citations
18.
Awais, Muhammad, et al.. (2020). The role and analysis of Microfinance Banks in Pakistan. 5(1). 34–62. 6 indexed citations
19.
Uchida, Kazunori, et al.. (2002). Monitoring Soil Erosion in a Mountainous Watershed under High Rainfall Zone in Pakistan. 2002(43). 23–30. 2 indexed citations
20.
Shafiq, Muhammad, et al.. (2001). Constraints of wheat crop production in under-rainfed area: An analysis. Sarhad Journal of Agriculture. 1 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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