Muhammad Attique Khan

1.6k total citations · 1 hit paper
41 papers, 1.1k citations indexed

About

Muhammad Attique Khan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Muhammad Attique Khan has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Networks and Communications. Recurrent topics in Muhammad Attique Khan's work include Cutaneous Melanoma Detection and Management (5 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (4 papers). Muhammad Attique Khan is often cited by papers focused on Cutaneous Melanoma Detection and Management (5 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (4 papers). Muhammad Attique Khan collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Muhammad Attique Khan's co-authors include Usman Tariq, Tallha Akram, Khan Muhammad, Muhammad Sharif, Amjad Rehman, Muhammad Shahzad Sarfraz, Majed Alhaisoni, Seifedine Kadry, Victor Hugo C. de Albuquerque and Mussarat Yasmin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Muhammad Attique Khan

34 papers receiving 991 citations

Hit Papers

align trajectories

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.

A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems

2024 58 citations Ahmad Ali, Inam Ullah et al. IEEE Transactions on Consumer Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Attique Khan Saudi Arabia	17	405	306	290	282	120	41	1.1k
Yuexiang Li China	22	851 2.1×	412 1.3×	498 1.7×	551 2.0×	248 2.1×	90	2.0k
Muhammad Sharif Pakistan	32	947 2.3×	591 1.9×	874 3.0×	928 3.3×	209 1.7×	44	2.6k
Muhammad Nazir Pakistan	21	369 0.9×	96 0.3×	212 0.7×	452 1.6×	27 0.2×	53	1.0k
N. Sri Madhava Raja India	16	464 1.1×	75 0.2×	543 1.9×	488 1.7×	29 0.2×	46	1.3k
Joanna Jaworek-Korjakowska Poland	18	334 0.8×	316 1.0×	116 0.4×	190 0.7×	93 0.8×	45	812
Alhadi Bustamam Indonesia	16	432 1.1×	44 0.1×	377 1.3×	247 0.9×	19 0.2×	142	1.2k
Meng Yang China	16	265 0.7×	127 0.4×	189 0.7×	253 0.9×	50 0.4×	48	1.1k
M. N. Giri Prasad India	12	156 0.4×	139 0.5×	48 0.2×	156 0.6×	53 0.4×	82	543

Countries citing papers authored by Muhammad Attique Khan

Since Specialization

Citations

This map shows the geographic impact of Muhammad Attique 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 Attique 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 Attique Khan more than expected).

Fields of papers citing papers by Muhammad Attique Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Gao, Mingliang, et al.. (2025). Towards trustworthy image super-resolution via symmetrical and recursive artificial neural network. Image and Vision Computing. 158. 105519–105519. 6 indexed citations

Islam, Shayla, et al.. (2025). Secure and fast mobility handover scheme for IoMT in 5 G and future 6 G networks. Alexandria Engineering Journal. 128. 127–143. 1 indexed citations

Gupta, Sachin, et al.. (2025). Optimizing transcranial focused ultrasound parameters: A methodological advancement in non-invasive brain stimulation for next-gen clinical applications. SHILAP Revista de lepidopterología. 5(2). 100204–100204. 3 indexed citations

Khan, Muhammad Attique, et al.. (2025). Skin cancer segmentation and recognition from dermoscopy images: a novel framework based on improved DeepLabV3+ and network-level fused deep architectures. Journal of Advanced Research.

Byeon, Haewon, Ismail Keshta, Mukesh Soni, et al.. (2025). Intelligent cognitive internet of things-based spectrum sensing algorithm for future communication. International Journal of Web and Grid Services. 21(1). 18–41.

Piran, Md. Jalil, Samee U. Khan, Muhammad Attique Khan, et al.. (2025). Vision-based fire management system using autonomous unmanned aerial vehicles: a comprehensive survey. Artificial Intelligence Review. 59(1).

Koussour, M., Abdelghani Errehymy, Orhan Dönmez, et al.. (2024). Constraints on bulk viscosity in f(Q,T) gravity from H(z)/Pantheon+ data. Physics of the Dark Universe. 45. 101527–101527. 31 indexed citations

Chen, Si, et al.. (2024). Forward–reverse mutation cycles in cancer cell lines under chemical treatments. Human Genomics. 18(1). 106–106. 1 indexed citations

Ali, Ahmad, Inam Ullah, Mohammad Shabaz, et al.. (2024). A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems. IEEE Transactions on Consumer Electronics. 70(4). 7252–7265. 58 indexed citations breakdown →

10.

Gao, Hongbo, et al.. (2024). Multi‐omics graph convolutional networks for digestive system tumour classification and early‐late stage diagnosis. CAAI Transactions on Intelligence Technology. 9(6). 1572–1586. 3 indexed citations

11.

Umer, Muhammad, et al.. (2024). BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model. Frontiers in Computational Neuroscience. 18. 1482994–1482994. 2 indexed citations

12.

Mushtaq, Zohaib, et al.. (2023). Control Schemes for Quadrotor UAV: Taxonomy and Survey. ACM Computing Surveys. 56(5). 1–32. 17 indexed citations

13.

Ahmed, Muzamil, et al.. (2023). Context-aware Answer Selection in Community Question Answering Exploiting Spatial Temporal Bidirectional Long Short-Term Memory. ACM Transactions on Asian and Low-Resource Language Information Processing. 5 indexed citations

14.

Umer, Muhammad Farooq, et al.. (2022). Customer Prioritization Integrated Supply Chain Optimization Model with Outsourcing Strategies. Big Data. 12(6). 413–428.

15.

Nawaz, Marriam, Tahira Nazir, Ali Javed, et al.. (2022). An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization. Sensors. 22(2). 434–434. 86 indexed citations

16.

Khan, Muhammad Attique, et al.. (2022). COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence. Computational Intelligence and Neuroscience. 2022. 1–14. 33 indexed citations

17.

Iqbal, Zeshan, et al.. (2022). Scalable offloading using machine learning methods for distributed multi-controller architecture of SDN networks. The Journal of Supercomputing. 78(7). 10191–10210. 4 indexed citations

18.

Khan, Muhammad Attique, Usman Tariq, Ammar Armghan, et al.. (2021). A Computer‐Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification. Computational Intelligence and Neuroscience. 2021(1). 9619079–9619079. 50 indexed citations

19.

Khan, Muhammad Attique, et al.. (2021). Types of Glaucoma and Associated Comorbidities Among Patients at King Abdulaziz Medical City, Jeddah. Cureus. 13(6). e15574–e15574. 10 indexed citations

20.

Khan, Muhammad Attique, Seifedine Kadry, Majed Alhaisoni, et al.. (2020). Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection. IEEE Access. 8. 132850–132859. 110 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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