Khan Muhammad

1.5k total citations · 1 hit paper
11 papers, 811 citations indexed

About

Khan Muhammad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Khan Muhammad has authored 11 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Khan Muhammad's work include Video Surveillance and Tracking Methods (3 papers), AI in cancer detection (2 papers) and Face recognition and analysis (2 papers). Khan Muhammad is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), AI in cancer detection (2 papers) and Face recognition and analysis (2 papers). Khan Muhammad collaborates with scholars based in South Korea, China and Saudi Arabia. Khan Muhammad's co-authors include Javier Del Ser, José M. Alonso, Shaker El–Sappagh, Roberto Confalonieri, Riccardo Guidotti, Tamer Abuhmed, Natalia Díaz-Rodríguez, Sajid Ali, Francisco Herrera and Shuai Liu and has published in prestigious journals such as Information Sciences, Information Fusion and Computerized Medical Imaging and Graphics.

In The Last Decade

Khan Muhammad

9 papers receiving 769 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.

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

2023 687 citations Sajid Ali, Tamer Abuhmed et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Khan Muhammad South Korea	6	402	134	83	59	53	11	811
Indro Spinelli Italy	7	435 1.1×	84 0.6×	83 1.0×	53 0.9×	76 1.4×	10	939
Anna Saranti Austria	12	413 1.0×	97 0.7×	94 1.1×	40 0.7×	59 1.1×	27	790
Eduardo M. Pereira Portugal	4	601 1.5×	89 0.7×	87 1.0×	39 0.7×	54 1.0×	8	1.0k
Jingping Liu China	12	514 1.3×	244 1.8×	70 0.8×	79 1.3×	118 2.2×	64	1.2k
Mario Brčić Croatia	8	592 1.5×	117 0.9×	81 1.0×	46 0.8×	77 1.5×	25	974
Eduardo Soares Brazil	8	354 0.9×	51 0.4×	73 0.9×	51 0.9×	44 0.8×	30	734
Nikica Hlupić Croatia	4	454 1.1×	80 0.6×	68 0.8×	30 0.5×	61 1.2×	17	709
Elena Hernández-Pereira Spain	13	242 0.6×	59 0.4×	75 0.9×	34 0.6×	38 0.7×	31	802
Tejal Shah United Kingdom	11	356 0.9×	57 0.4×	93 1.1×	47 0.8×	92 1.7×	33	922
Bin Qian China	7	327 0.8×	55 0.4×	95 1.1×	34 0.6×	80 1.5×	15	725

Countries citing papers authored by Khan Muhammad

Since Specialization

Citations

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

Fields of papers citing papers by Khan Muhammad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khan Muhammad

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Hu, Xinrong, et al.. (2025). RFFR-Net: Robust feature fusion and reconstruction network for clothing-change person re-identification. Information Fusion. 118. 102885–102885. 3 indexed citations

2.

Malik, Khalid Mahmood, et al.. (2025). One-shot learning for generalization in medical image classification across modalities. Computerized Medical Imaging and Graphics. 122. 102507–102507.

3.

Muhammad, Khan, et al.. (2024). Inter-camera Identity Discrimination for Unsupervised Person Re-identification. ACM Transactions on Multimedia Computing Communications and Applications. 20(8). 1–18. 5 indexed citations

4.

Mehmood, Irfan, et al.. (2024). Towards Holistic Analysis of Wireless Capsule Endoscopic Videos: A Taxonomy-Driven Machine Learning Framework for Clinically Comprehensive WCE Frame Level Analysis. 1–8.

5.

Malik, Khalid Mahmood, et al.. (2024). Federated fusion learning with attention mechanism for multi-client medical image analysis. Information Fusion. 108. 102364–102364. 5 indexed citations

6.

Liu, Shuai, et al.. (2023). Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows. Information Fusion. 96. 281–296. 52 indexed citations

7.

Hijji, Mohammad, Hikmat Yar, Fath U Min Ullah, et al.. (2023). FADS: An Intelligent Fatigue and Age Detection System. Mathematics. 11(5). 1174–1174. 5 indexed citations

8.

Hijji, Mohammad, et al.. (2023). Intelligent Image Super-Resolution for Vehicle License Plate in Surveillance Applications. Mathematics. 11(4). 892–892. 7 indexed citations

9.

Zafar, Aasim, Shahab Saquib Sohail, Amir Hussain, et al.. (2023). ARTIFICIAL INTELLIGENCE-DRIVEN APPROACH TO IDENTIFY AND RECOMMEND THE WINNER IN A TIED EVENT IN SPORTS SURVEILLANCE. Fractals. 31(10). 8 indexed citations

10.

Ali, Sajid, Tamer Abuhmed, Shaker El–Sappagh, et al.. (2023). Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Information Fusion. 99. 101805–101805. 687 indexed citations breakdown →

11.

Qu, Zhiguo, et al.. (2023). Quantum detectable Byzantine agreement for distributed data trust management in blockchain. Information Sciences. 637. 118909–118909. 39 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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