Sulaiman Khan

1.6k total citations
67 papers, 1.0k citations indexed

About

Sulaiman Khan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Sulaiman Khan has authored 67 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 12 papers in Media Technology. Recurrent topics in Sulaiman Khan's work include Handwritten Text Recognition Techniques (9 papers), Vehicle License Plate Recognition (8 papers) and IoT and Edge/Fog Computing (5 papers). Sulaiman Khan is often cited by papers focused on Handwritten Text Recognition Techniques (9 papers), Vehicle License Plate Recognition (8 papers) and IoT and Edge/Fog Computing (5 papers). Sulaiman Khan collaborates with scholars based in Pakistan, Qatar and China. Sulaiman Khan's co-authors include Shah Nazir, Habib Ullah Khan, Anwar Hussain, Iván García‐Magariño, Hazrat Ali, Zubair Shah, Abdul Hafeez, Muhammad Yasir, Hong Fan and Fazlullah Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Scientific Reports.

In The Last Decade

Sulaiman Khan

60 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sulaiman Khan Pakistan	19	216	215	203	168	141	67	1.0k
Shan Suthaharan United States	14	438 2.0×	302 1.4×	370 1.8×	90 0.5×	128 0.9×	79	1.5k
Akansha Singh India	21	285 1.3×	278 1.3×	266 1.3×	127 0.8×	162 1.1×	108	1.2k
Mohammad Shahadat Hossain Bangladesh	26	661 3.1×	258 1.2×	285 1.4×	98 0.6×	164 1.2×	125	2.0k
Anwer Mustafa Hilal Saudi Arabia	19	451 2.1×	332 1.5×	298 1.5×	66 0.4×	119 0.8×	150	1.3k
Sudan Jha India	22	329 1.5×	308 1.4×	224 1.1×	85 0.5×	257 1.8×	76	1.6k
Manjusha Pandey India	15	410 1.9×	178 0.8×	313 1.5×	66 0.4×	71 0.5×	86	1.2k
Subhendu Kumar Pani India	19	269 1.2×	209 1.0×	126 0.6×	49 0.3×	105 0.7×	65	1.1k
Kristina P. Sinaga Taiwan	6	459 2.1×	106 0.5×	257 1.3×	63 0.4×	189 1.3×	12	1.5k
Ashit Kumar Dutta Saudi Arabia	15	302 1.4×	159 0.7×	180 0.9×	47 0.3×	166 1.2×	159	1.1k

Countries citing papers authored by Sulaiman Khan

Since Specialization

Citations

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

Fields of papers citing papers by Sulaiman Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sulaiman Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Sulaiman Khan. A scholar is included among the top collaborators of Sulaiman 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 Sulaiman Khan. Sulaiman 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

Khan, Sulaiman & Zubair Shah. (2025). Artificial intelligence–based diabetes risk prediction from longitudinal DXA bone measurements. Scientific Reports. 15(1). 25706–25706.

Khan, Sulaiman, et al.. (2024). Forecasting Foreign Exchange Rate with Machine Learning Techniques Chinese Yuan to US Dollar Using XGboost and LSTM Model. 6(3). 761–775.

Khan, Sulaiman, Hazrat Ali, & Zubair Shah. (2024). Systematic analysis of smart homes: Current trends and future recommendations. Cogent Engineering. 11(1). 2 indexed citations

Khan, Sulaiman, Farida Mohsen, & Zubair Shah. (2024). Genetic biomarkers and machine learning techniques for predicting diabetes: systematic review. Artificial Intelligence Review. 58(2). 5 indexed citations

Khan, Sulaiman, et al.. (2024). An Early Investigation into the Utility of Multimodal Large Language Models in Medical Imaging. Stirling Online Research Repository (University of Stirling). 234–239. 5 indexed citations

Khan, Sulaiman, et al.. (2024). Histopathological Analysis of Ovarian Cancer Using Deep Learning. 508–515. 1 indexed citations

Khan, Sulaiman, Hazrat Ali, & Zubair Shah. (2023). Identifying the role of vision transformer for skin cancer—A scoping review. Frontiers in Artificial Intelligence. 6. 1202990–1202990. 12 indexed citations

Khan, Sulaiman, Inam Ullah, Farhad Ali, et al.. (2023). Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection. Frontiers in Marine Science. 9. 18 indexed citations

Zhao, Xiaoyan, et al.. (2023). Hydrothermal dolomitization in the Devonian Khyber Limestone Peshawar Basin, Pakistan: evidence from outcrop analogue, petrography, and geochemistry. Carbonates and Evaporites. 38(4).

10.

Khan, Sulaiman, Hazrat Ali, & Zubair Shah. (2023). Brain Hemorrhage Detection Using Improved AlexNet with Inception-v4. 13. 1–5.

11.

Jalal, Arshad, et al.. (2023). Engineering legumes for drought stress tolerance: Constraints, accomplishments, and future prospects. South African Journal of Botany. 159. 482–491. 4 indexed citations

12.

Khan, Sulaiman, et al.. (2023). Users Sentiment Analysis Using Artificial Intelligence-Based FinTech Data Fusion in Financial Organizations. Mobile Networks and Applications. 29(2). 477–488. 5 indexed citations

13.

Khan, Habib Ullah, et al.. (2022). A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection. Frontiers in Public Health. 10. 875971–875971. 2 indexed citations

14.

Khan, Sulaiman, Habib Ullah Khan, & Shah Nazir. (2022). Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach. Measurement and Control. 56(3-4). 713–732. 11 indexed citations

15.

Hussain, Anwar, Shah Nazir, Fazlullah Khan, et al.. (2021). A Resource-Efficient Hybrid Proxy Mobile IPv6 Extension for Next-Generation IoT Networks. IEEE Internet of Things Journal. 10(3). 2095–2103. 37 indexed citations

16.

Khan, Sulaiman, Anwar Hussain, Shah Nazir, et al.. (2021). Efficient and reliable hybrid deep learning-enabled model for congestion control in 5G/6G networks. Computer Communications. 182. 31–40. 39 indexed citations

17.

Khan, Sulaiman, Shah Nazir, & Habib Ullah Khan. (2021). Smart Object Detection and Home Appliances Control System in Smart Cities. Computers, materials & continua/Computers, materials & continua (Print). 67(1). 895–915. 19 indexed citations

18.

Song, Ge, Xueping Li, Raheel Munir, et al.. (2021). BnaA02.NIP6;1a encodes a boron transporter required for plant development under boron deficiency in Brassica napus. Plant Physiology and Biochemistry. 161. 36–45. 12 indexed citations

19.

Khan, Sulaiman, Shah Nazir, Iván García‐Magariño, & Anwar Hussain. (2020). Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion. Computers & Electrical Engineering. 89. 106906–106906. 87 indexed citations

20.

Nazir, Shah, et al.. (2020). Convolution Neural Network-Based Higher Accurate Intrusion Identification System for the Network Security and Communication. Security and Communication Networks. 2020. 1–10. 22 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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