Muhammad Irshad

486 total citations
26 papers, 281 citations indexed

About

Muhammad Irshad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Muhammad Irshad has authored 26 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Muhammad Irshad's work include Optical Wireless Communication Technologies (5 papers), Advanced Image Fusion Techniques (3 papers) and Artificial Intelligence in Healthcare (3 papers). Muhammad Irshad is often cited by papers focused on Optical Wireless Communication Technologies (5 papers), Advanced Image Fusion Techniques (3 papers) and Artificial Intelligence in Healthcare (3 papers). Muhammad Irshad collaborates with scholars based in China, Pakistan and Hong Kong. Muhammad Irshad's co-authors include Sohail M. Noman, Maryam Khokhar, Wenyuan Liu, Wasim Iqbal, Jehangir Arshad, Tahir Islam, Anshuman Sharma, Jiadong Ren, Lin Wang and K. H. Loo and has published in prestigious journals such as Scientific Reports, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Muhammad Irshad

25 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Irshad China 11 63 53 45 43 28 26 281
Venkataraghavan Krishnaswamy India 8 45 0.7× 58 1.1× 32 0.7× 22 0.5× 49 1.8× 19 299
Akash Sinha India 5 31 0.5× 21 0.4× 58 1.3× 34 0.8× 45 1.6× 11 264
Mirko Kück Germany 12 42 0.7× 22 0.4× 16 0.4× 45 1.0× 14 0.5× 19 449
Xuhui Li China 10 97 1.5× 31 0.6× 122 2.7× 15 0.3× 58 2.1× 43 385
Hsiao-Fen Hsiao China 7 145 2.3× 112 2.1× 15 0.3× 35 0.8× 10 0.4× 18 439
Hans-Jürgen Appelrath Germany 9 31 0.5× 72 1.4× 39 0.9× 14 0.3× 49 1.8× 43 287
Chengming Qi China 10 85 1.3× 38 0.7× 16 0.4× 13 0.3× 28 1.0× 38 345
Katti Faceli Brazil 10 153 2.4× 18 0.3× 15 0.3× 38 0.9× 33 1.2× 20 437
Mustafa Göçken Türkiye 11 116 1.8× 114 2.2× 14 0.3× 23 0.5× 15 0.5× 26 521

Countries citing papers authored by Muhammad Irshad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Irshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Irshad

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Irshad. A scholar is included among the top collaborators of Muhammad Irshad 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 Irshad. Muhammad Irshad 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.
Irshad, Muhammad, et al.. (2025). Assessing the Quality of Light Field Images: A Graph-based Approach. Journal of Imaging Science and Technology. 69(4). 1–7.
2.
Arshad, Jehangir, et al.. (2023). Energy efficiency augmentation inUWA‐OFDMtransducer by peak to average power ratio alleviation through hybrid companding approach. Transactions on Emerging Telecommunications Technologies. 34(9). 1 indexed citations
3.
4.
Wu, Jianbin, et al.. (2023). An intelligent IoT intrusion detection system using HeInit-WGAN and SSO-BNMCNN based multivariate feature analysis. Engineering Applications of Artificial Intelligence. 127. 107132–107132. 10 indexed citations
5.
Aziz, Saddam, Muhammad Talib Faiz, K. H. Loo, et al.. (2022). Anomaly Detection in the Internet of Vehicular Networks Using Explainable Neural Networks (xNN). Mathematics. 10(8). 1267–1267. 31 indexed citations
6.
Noman, Sohail M., Muhammad Shafiq, Shabana Bibi, et al.. (2022). Exploring antibiotic resistance genes, mobile gene elements, and virulence gene factors in an urban freshwater samples using metagenomic analysis. Environmental Science and Pollution Research. 30(2). 2977–2990. 11 indexed citations
7.
Wu, Jianbin, et al.. (2021). Li-Pos: A Light Positioning Framework Leveraging OFDM for Visible Light Communication. Sensors. 21(13). 4310–4310. 7 indexed citations
8.
Ge, Hongwei, et al.. (2021). A Quantum Spatial Graph Convolutional Network for Text Classification. Computer Systems Science and Engineering. 36(2). 369–382. 13 indexed citations
9.
Irshad, Muhammad, et al.. (2021). CNN-based no-reference video quality assessment method using a spatiotemporal saliency patch selection procedure. Journal of Electronic Imaging. 30(6). 3 indexed citations
10.
Irshad, Muhammad, et al.. (2021). No-reference Image Quality Assessment of Underwater Images Using Multi-Scale Salient Local Binary Patterns. Electronic Imaging. 33(9). 265–1. 5 indexed citations
11.
Irshad, Muhammad, et al.. (2021). The inclusive analysis of ICT ethical issues on healthy society: a global digital divide approach. Procedia Computer Science. 183. 801–806. 6 indexed citations
12.
Khokhar, Maryam, et al.. (2021). Going Green Supply Chain Management During COVID-19, Assessing the Best Supplier Selection Criteria: A Triple Bottom Line (TBL) Approach. Problemy Ekorozwoju. 17(1). 36–51. 50 indexed citations
13.
Irshad, Muhammad, et al.. (2020). An Economical Design of Rain Water Harvesting and Preservation System via Sensors and Buzzers. 398–401. 3 indexed citations
14.
Irshad, Muhammad, et al.. (2019). A Novel Localization Technique Using Luminous Flux. Applied Sciences. 9(23). 5027–5027. 29 indexed citations
15.
Irshad, Muhammad, et al.. (2019). Cogent Machine Learning Algorithm for Indoor and Underwater Localization Using Visible Light Spectrum. Wireless Personal Communications. 116(2). 993–1008. 24 indexed citations
16.
Ren, Jiadong, et al.. (2019). Principal Component Analysis of Categorized Polytomous Variable-Based Classification of Diabetes and Other Chronic Diseases. International Journal of Environmental Research and Public Health. 16(19). 3593–3593. 13 indexed citations
17.
Noman, Sohail M., et al.. (2019). A hybrid Forecast Cost Benefit Classification of diabetes mellitus prevalence based on epidemiological study on Real-life patient’s data. Scientific Reports. 9(1). 10103–10103. 14 indexed citations
18.
Bi, Weihong, et al.. (2019). Magnetic fluid-based photonic crystal fiber for temperature sensing. Optical Engineering. 58(7). 1–1. 9 indexed citations
19.
Irshad, Muhammad, et al.. (2018). The frequency of infection in early versus late surgery of compound depressed skull fractures in adults. International Surgery Journal. 5(2). 538–538. 3 indexed citations
20.
Irshad, Muhammad, et al.. (2018). Convolutional Neural Network with Word Embedding Based Approach for Resume Classification. 1–6. 18 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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