Fiaz Gul Khan

1.4k total citations · 1 hit paper
32 papers, 893 citations indexed

About

Fiaz Gul Khan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Fiaz Gul Khan has authored 32 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Fiaz Gul Khan's work include Retinal Imaging and Analysis (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). Fiaz Gul Khan is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). Fiaz Gul Khan collaborates with scholars based in Pakistan, Saudi Arabia and Italy. Fiaz Gul Khan's co-authors include Sajid Shah, Ahmad Khan, Zia ur Rehman, Iftikhar Ahmed Khan, Waqas Jadoon, Shahaboddin Shamshirband, Farman Ali, Sangheon Pack, Zubair Khan and Atta ur Rehman Khan and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Fiaz Gul Khan

31 papers receiving 831 citations

Hit Papers

A Deep Learning Ensemble ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiaz Gul Khan Pakistan 12 547 274 265 250 141 32 893
Chengzhang Zhu China 13 370 0.7× 249 0.9× 297 1.1× 44 0.2× 82 0.6× 71 693
S. Prabakaran India 14 371 0.7× 443 1.6× 66 0.2× 41 0.2× 154 1.1× 46 946
Said Jai Andaloussi Morocco 15 172 0.3× 62 0.2× 200 0.8× 63 0.3× 200 1.4× 50 667
Hyuk-Yoon Kwon South Korea 8 99 0.2× 39 0.1× 163 0.6× 34 0.1× 177 1.3× 50 451
Naveed Abbas Pakistan 15 218 0.4× 6 0.0× 468 1.8× 48 0.2× 345 2.4× 40 802
Saturnino Vicente-Díaz Spain 11 188 0.3× 56 0.2× 118 0.4× 11 0.0× 155 1.1× 20 429
Renato R. Maaliw Philippines 12 75 0.1× 19 0.1× 52 0.2× 19 0.1× 78 0.6× 69 396
Somsak Choomchuay Thailand 11 121 0.2× 33 0.1× 134 0.5× 24 0.1× 132 0.9× 60 349
Ghadah Naif Alwakid Saudi Arabia 10 71 0.1× 33 0.1× 52 0.2× 29 0.1× 164 1.2× 38 351
Abdulkareem Alzahrani Saudi Arabia 11 116 0.2× 8 0.0× 126 0.5× 52 0.2× 179 1.3× 39 501

Countries citing papers authored by Fiaz Gul Khan

Since Specialization
Citations

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

Fields of papers citing papers by Fiaz Gul Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiaz Gul Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Fiaz Gul Khan. A scholar is included among the top collaborators of Fiaz Gul 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 Fiaz Gul Khan. Fiaz Gul 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.
Khan, Ahmad, et al.. (2025). A deep contrastive multi-modal encoder for multi-omics data integration and analysis. Information Sciences. 700. 121864–121864. 1 indexed citations
2.
Khan, Fiaz Gul, et al.. (2025). Enhanced Diabetic Retinopathy Detection: An Explainable Semi-Supervised Approach Using Contrastive Learning. IEEE Journal of Biomedical and Health Informatics. PP. 1–14. 1 indexed citations
3.
Khan, Fiaz Gul, et al.. (2024). Survey: application and analysis of generative adversarial networks in medical images. Artificial Intelligence Review. 58(2). 5 indexed citations
4.
Kwak, Daehan, et al.. (2024). Service Level Agreement in cloud computing: Taxonomy, prospects, and challenges. Internet of Things. 25. 101126–101126. 15 indexed citations
5.
Shah, Sajid, Altaf Ur Rahman, Saima Jabeen, et al.. (2022). DNA Methylation Prediction Using Reduced Features Obtained via Gappy Pair Kernel and Partial Least Square. IEEE Access. 10. 53265–53274.
6.
Shah, Sajid, et al.. (2022). Multiclass Cancer Prediction Based on Copy Number Variation Using Deep Learning. Computational Intelligence and Neuroscience. 2022. 1–11. 10 indexed citations
7.
Khan, Fiaz Gul, et al.. (2020). Deep Learning Techniques for Diabetic Retinopathy Detection. Current Medical Imaging Formerly Current Medical Imaging Reviews. 16(10). 1201–1213. 2 indexed citations
8.
Gao, Jinfeng, et al.. (2020). Ensemble Framework of Deep CNNs for Diabetic Retinopathy Detection. Computational Intelligence and Neuroscience. 2020. 1–11. 31 indexed citations
9.
Rehman, Arshia & Fiaz Gul Khan. (2020). A deep learning based review on abdominal images. Multimedia Tools and Applications. 80(20). 30321–30352. 17 indexed citations
10.
Khan, Fiaz Gul, Sajid Shah, Ahmad Khan, et al.. (2019). A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection. IEEE Access. 7. 150530–150539. 399 indexed citations breakdown →
11.
Irshad, Muneeb, K. Siraj, Rizwan Raza, et al.. (2019). Evaluation of BaZr0.8X0.2 (X= Y, Gd, Sm) proton conducting electrolytes sintered at low temperature for IT-SOFC synthesized by cost effective combustion method. Journal of Alloys and Compounds. 815. 152389–152389. 54 indexed citations
12.
Khan, Fiaz Gul, et al.. (2018). Profitability and Working Capital Management Nexus: Evidence from Food & Personal Care Products Sector Firms Listed on Pakistan Stock Exchange. MPRA Paper. 3 indexed citations
13.
Khan, Fiaz Gul, et al.. (2018). Secure‐CamFlow: A device‐oriented security model to assist information flow control systems in cloud environments for IoTs. Concurrency and Computation Practice and Experience. 31(8). 30 indexed citations
14.
Khan, Asad Ullah, Sajid Shah, Fazli Wahid, Fiaz Gul Khan, & Saima Jabeen. (2017). Identification of microRNA precursors using reduced and hybrid features. Molecular BioSystems. 13(8). 1640–1645. 9 indexed citations
15.
Khan, Abdul Nasir, Mazhar Ali, Atta ur Rehman Khan, et al.. (2017). A comparative study and workload distribution model for re‐encryption schemes in a mobile cloud computing environment. International Journal of Communication Systems. 30(16). 15 indexed citations
16.
Khan, Iftikhar Ahmed, et al.. (2017). Urdu Translation: the Validation and Reliability of the 120-Item Big Five IPIP Personality Scale. Current Psychology. 38(6). 1530–1541. 8 indexed citations
17.
Khan, Fiaz Gul, Bartolomeo Montrucchio, Bilal Jan, et al.. (2016). An optimized magnetostatic field solver on GPU using open computing language. Concurrency and Computation Practice and Experience. 29(5). 2 indexed citations
18.
Khan, Fiaz Gul, et al.. (2013). Review of parallel and distributed architectures for micromagnetic codes. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 32(6). 1891–1900. 3 indexed citations
19.
Khan, Fiaz Gul, et al.. (2010). Performance evaluation of fault tolerance techniques in grid computing system. Computers & Electrical Engineering. 36(6). 1110–1122. 24 indexed citations
20.
Khan, Fiaz Gul, et al.. (2010). A hybrid fault tolerance technique in grid computing system. The Journal of Supercomputing. 56(1). 106–128. 21 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026