Muhammad Asad

87 total papers · 1.5k total citations
59 papers, 945 citations indexed

About

Muhammad Asad is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Muhammad Asad has authored 59 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Muhammad Asad's work include Privacy-Preserving Technologies in Data (17 papers), Cryptography and Data Security (11 papers) and Energy Efficient Wireless Sensor Networks (9 papers). Muhammad Asad is often cited by papers focused on Privacy-Preserving Technologies in Data (17 papers), Cryptography and Data Security (11 papers) and Energy Efficient Wireless Sensor Networks (9 papers). Muhammad Asad collaborates with scholars based in Pakistan, China and Japan. Muhammad Asad's co-authors include Ahmed Moustafa, Guo Cao, Zia U. Khan, Ayesha Shafique, Muhammad Aslam, Muhammad Aslam, Takayuki Itō, Safa Otoum, Syeda Fizzah Jilani and Chao Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Muhammad Asad

52 papers receiving 913 citations

Hit Papers

Deep Learning-Based Chang... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muhammad Asad 439 270 172 115 107 59 945
Akansha Singh 275 0.6× 273 1.0× 123 0.7× 160 1.4× 54 0.5× 104 1.2k
En Fan 267 0.6× 148 0.5× 85 0.5× 89 0.8× 70 0.7× 45 956
Sulaiman Khan 215 0.5× 213 0.8× 167 1.0× 140 1.2× 41 0.4× 66 1.0k
Weihong Xu 396 0.9× 354 1.3× 89 0.5× 54 0.5× 194 1.8× 39 946
Manar Ahmed Hamza 318 0.7× 221 0.8× 52 0.3× 77 0.7× 99 0.9× 140 967
Yen‐Chieh Ouyang 127 0.3× 221 0.8× 479 2.8× 68 0.6× 67 0.6× 74 999
Fang Huang 203 0.5× 156 0.6× 226 1.3× 52 0.5× 90 0.8× 60 1.1k
Weipeng Jing 255 0.6× 233 0.9× 267 1.6× 75 0.7× 49 0.5× 122 1.1k
Saroj K. Meher 363 0.8× 57 0.2× 254 1.5× 178 1.5× 80 0.7× 65 1.0k
Yu Bai 209 0.5× 108 0.4× 165 1.0× 206 1.8× 48 0.4× 69 902

Countries citing papers authored by Muhammad Asad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Asad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Asad

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Asad. A scholar is included among the top collaborators of Muhammad Asad 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 Asad. Muhammad Asad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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