Muhammad Farhan Khan

1.4k total citations · 1 hit paper
54 papers, 742 citations indexed

About

Muhammad Farhan Khan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Muhammad Farhan Khan has authored 54 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 14 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Muhammad Farhan Khan's work include AI in cancer detection (9 papers), COVID-19 diagnosis using AI (7 papers) and Advanced MIMO Systems Optimization (6 papers). Muhammad Farhan Khan is often cited by papers focused on AI in cancer detection (9 papers), COVID-19 diagnosis using AI (7 papers) and Advanced MIMO Systems Optimization (6 papers). Muhammad Farhan Khan collaborates with scholars based in Pakistan, United Arab Emirates and South Korea. Muhammad Farhan Khan's co-authors include Muhammad Adnan Khan, Atta Rahman, Taher M. Ghazal, Munir Ahmad, Salman Ali, Saad Qaisar, Shabib Aftab, Ghassan F. Issa, Usama Ahmed and Alagan Anpalagan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Muhammad Farhan Khan

47 papers receiving 679 citations

Hit Papers

Prediction of Diabetes Empowered With Fused Machine Learning 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prediction of Diabetes Empowered With Fused Machine Learning
    2022 154 citations Muhammad Adnan Khan, Muhammad Farhan Khan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Farhan Khan Pakistan 13 267 164 141 135 112 54 742
H. Khanna Nehemiah India 18 415 1.6× 120 0.7× 203 1.4× 192 1.4× 77 0.7× 52 945
Hani Alquhayz Saudi Arabia 17 318 1.2× 196 1.2× 82 0.6× 163 1.2× 141 1.3× 55 915
V. Muthukumaran India 15 201 0.8× 114 0.7× 65 0.5× 88 0.7× 79 0.7× 63 729
Hanaa Salem Egypt 15 344 1.3× 86 0.5× 117 0.8× 107 0.8× 41 0.4× 40 872
Sagar Dhanraj Pande India 15 338 1.3× 136 0.8× 272 1.9× 127 0.9× 36 0.3× 53 844
Biswaranjan Acharya India 12 165 0.6× 67 0.4× 77 0.5× 104 0.8× 55 0.5× 77 590
Ajmeera Kiran India 13 185 0.7× 125 0.8× 65 0.5× 47 0.3× 58 0.5× 111 638
Hock Guan Goh Malaysia 16 147 0.6× 250 1.5× 92 0.7× 102 0.8× 180 1.6× 45 769
Rajneesh Kumar India 14 302 1.1× 392 2.4× 242 1.7× 74 0.5× 149 1.3× 103 897
Ala’ Abdulmajid Eshmawi Saudi Arabia 14 211 0.8× 132 0.8× 49 0.3× 69 0.5× 41 0.4× 38 585

Countries citing papers authored by Muhammad Farhan Khan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Farhan Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Farhan Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Farhan Khan. A scholar is included among the top collaborators of Muhammad Farhan Khan 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 Farhan Khan. Muhammad Farhan Khan 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.
Shad, Naveed Akhtar, et al.. (2025). Electrochemical differentiation of inks using Au@Pt nanocomposite based sensing platform. Materials Chemistry and Physics. 338. 130654–130654.
2.
Cheema, Khalid Mehmood, et al.. (2025). Deep ensemble learning with transformer models for enhanced Alzheimer’s disease detection. Scientific Reports. 15(1). 24720–24720.
3.
Khan, Muhammad Farhan, et al.. (2024). Preliminary study on mitochondrial DNA analysis from different sports items. Forensic Science International. 361. 112077–112077. 2 indexed citations
4.
Shad, Naveed Akhtar, Allah Rakha, Muhammad Abdul Qayyum, et al.. (2024). Zn3(VO4)2/Bi2WO6 composite based versatile platform for cotinine sensing and latent fingerprints development by using multiple modalities. Materials Science and Engineering B. 301. 117203–117203. 1 indexed citations
5.
Ahmad, R. Badlishah, et al.. (2024). Beyond binary: multi-class skin lesion classification with AlexNet transfer learning-towards enhanced dermatological diagnosis. SHILAP Revista de lepidopterología. 7(1). 2 indexed citations
6.
Khan, Muhammad Farhan, et al.. (2024). Role of doped ZnO variants for the development of latent fingerprint. Inorganic Chemistry Communications. 162. 112269–112269. 2 indexed citations
7.
8.
Khan, Muhammad Farhan, Tariq Shahzad, Muhammad Adnan Khan, et al.. (2023). Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification. Computers, materials & continua/Computers, materials & continua (Print). 77(3). 2813–2831. 4 indexed citations
9.
Nasir, Muhammad Umar, Muhammad Farhan Khan, Muhammad Adnan Khan, et al.. (2023). Hematologic Cancer Detection Using White Blood Cancerous Cells Empowered with Transfer Learning and Image Processing. Journal of Healthcare Engineering. 2023(1). 1406545–1406545. 5 indexed citations
10.
Munawar, Anam, et al.. (2023). Microfluidic paper-based analytical device integrated with Fe@ZnS:MIP for colorimetric detection of antibiotics. Applied Nanoscience. 13(9). 6331–6339.
11.
Nasir, Muhammad Umar, Muhammad Zubair, Taher M. Ghazal, et al.. (2022). Kidney Cancer Prediction Empowered with Blockchain Security Using Transfer Learning. Sensors. 22(19). 7483–7483. 34 indexed citations
12.
Ghazal, Taher M., et al.. (2022). Detection of Benign and Malignant Tumors in Skin Empowered with Transfer Learning. Computational Intelligence and Neuroscience. 2022. 1–9. 15 indexed citations
13.
Rahman, Atta, Abdullah Alqahtani, Nahier Aldhafferi, et al.. (2022). Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning. Sensors. 22(10). 3833–3833. 78 indexed citations
14.
Khan, Muhammad Farhan, et al.. (2021). Adaptive just-noticeable difference profile for image hashing. Computers & Electrical Engineering. 90. 106967–106967. 1 indexed citations
15.
Zagrouba, Rachid, Muhammad Adnan Khan, Atta Rahman, et al.. (2021). Modelling and Simulation of COVID-19 Outbreak Prediction Using Supervised Machine Learning. Computers, materials & continua/Computers, materials & continua (Print). 66(3). 2397–2407. 25 indexed citations
16.
Khan, Muhammad Farhan, et al.. (2020). Robust image hashing based on structural and perceptual features for authentication of color images. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29(2). 648–662. 5 indexed citations
17.
18.
Mushtaq, Muhammad Hassan, et al.. (2014). Comparative study to access coagulation abnormalities in breast cancer. Advancements in Life Sciences. 1(2). 96–103. 2 indexed citations
19.
Ahmad, Faraz, et al.. (2014). Prevalence of HCV in β-thalassemia major patients visiting tertiary care hospitals in Lahore – Pakistan. Advancements in Life Sciences. 1(4). 197–201. 7 indexed citations
20.
Khan, Muhammad Farhan & Muhammad Imran Khan. (2011). An extensive study on application level gateways (ALGs). 316–322. 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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