Sajid Ullah Khan

864 total citations · 1 hit paper
38 papers, 478 citations indexed

About

Sajid Ullah Khan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Sajid Ullah Khan has authored 38 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Networks and Communications and 8 papers in Media Technology. Recurrent topics in Sajid Ullah Khan's work include Image and Signal Denoising Methods (10 papers), Advanced Image Fusion Techniques (6 papers) and Advanced Image Processing Techniques (6 papers). Sajid Ullah Khan is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Advanced Image Fusion Techniques (6 papers) and Advanced Image Processing Techniques (6 papers). Sajid Ullah Khan collaborates with scholars based in Pakistan, Malaysia and Saudi Arabia. Sajid Ullah Khan's co-authors include Naveed Saif, Imrab Shaheen, Faiz Abdullah Alotaibi, Mohammad Arif, Mrim M. Alnfiai, Ghulam Mujtaba, Zahid Hussain, Sarang Shaikh, Zafar Ali and Imdad Ullah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Sajid Ullah Khan

34 papers receiving 445 citations

Hit Papers

Chat-GPT; validating Technology Acceptance Model (TAM) in... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sajid Ullah Khan Pakistan 11 163 90 59 56 45 38 478
Shivani Kapania United States 8 233 1.4× 95 1.1× 45 0.8× 77 1.4× 61 1.4× 14 610
Eduardo Mosqueira-Rey Spain 11 238 1.5× 58 0.6× 35 0.6× 116 2.1× 61 1.4× 31 669
David Alonso-Ríos Spain 9 201 1.2× 52 0.6× 34 0.6× 93 1.7× 60 1.3× 22 581
Hao He China 9 241 1.5× 48 0.5× 16 0.3× 77 1.4× 101 2.2× 40 667
Ajay Bandi United States 8 130 0.8× 30 0.3× 14 0.2× 54 1.0× 38 0.8× 26 379
Mladjan Jovanovic Serbia 10 168 1.0× 44 0.5× 15 0.3× 59 1.1× 64 1.4× 36 461
Tianyu Wu China 5 347 2.1× 47 0.5× 28 0.5× 76 1.4× 242 5.4× 8 820
Muhammad Modi Lakulu Malaysia 9 97 0.6× 64 0.7× 31 0.5× 74 1.3× 42 0.9× 22 485
Nikica Hlupić Croatia 4 454 2.8× 68 0.8× 17 0.3× 61 1.1× 80 1.8× 17 709
Yiheng Liu China 10 217 1.3× 192 2.1× 11 0.2× 41 0.7× 100 2.2× 22 681

Countries citing papers authored by Sajid Ullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sajid Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajid Ullah Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Sajid Ullah Khan. A scholar is included among the top collaborators of Sajid Ullah 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 Sajid Ullah Khan. Sajid Ullah 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.
Saif, Naveed, Sadaqat Ali, Imrab Shaheen, Gerald Guan Gan Goh, & Sajid Ullah Khan. (2025). Revolutionizing healthcare leadership the critical role of digital citizenship in knowledge sharing. Scientific Reports. 15(1). 8970–8970. 2 indexed citations
3.
Khan, Sajid Ullah, et al.. (2025). Deep learning based vision transformer approach for detecting overlapping PV faults using multi labeling. Measurement. 256. 118537–118537. 1 indexed citations
4.
Raza, Syed Hassan, et al.. (2025). Exploring the connection between sustainable behaviors—Recycle, reuse, and reduce—and digital media framing in climate change Youtube Vodcasts. Sustainable Futures. 10. 100937–100937. 1 indexed citations
5.
Qiao, Gang, et al.. (2024). A Q-Learning-Based Approach to Design an Energy-Efficient MAC Protocol for UWSNs Through Collision Avoidance. Electronics. 13(22). 4388–4388. 3 indexed citations
7.
Khan, Sajid Ullah, et al.. (2024). Energy-efficient routing protocols for UWSNs: A comprehensive review of taxonomy, challenges, opportunities, future research directions, and machine learning perspectives. Journal of King Saud University - Computer and Information Sciences. 36(7). 102128–102128. 16 indexed citations
8.
Razman, Muhammad Rizal, et al.. (2024). Personalized context-aware systems for sustainable agriculture development using ubiquitous devices and adaptive learning. Computers in Human Behavior. 160. 108375–108375. 3 indexed citations
9.
Saif, Naveed, Sajid Ullah Khan, Imrab Shaheen, et al.. (2023). Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism. Computers in Human Behavior. 154. 108097–108097. 147 indexed citations breakdown →
10.
Khan, Sajid Ullah, et al.. (2023). Deep Learning-Based Noise Type Classification and Removal for Drone Image Restoration. Arabian Journal for Science and Engineering. 49(3). 4287–4306. 3 indexed citations
11.
Alzabut, Jehad, et al.. (2023). A Mathematical Tool to Investigate the Stability Analysis of Structured Uncertain Dynamical Systems with M-Matrices. Mathematics. 11(7). 1622–1622. 1 indexed citations
12.
Saif, Naveed, Imrab Shaheen, Sajid Ullah Khan, et al.. (2023). Investigating the dynamic relationship between stigma of fear, discrimination and employees performance among healthcare workers during Covid-19 pandemic. Cognition Technology & Work. 25(4). 385–395. 4 indexed citations
13.
Khan, Sajid Ullah, et al.. (2023). A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19). Scientific Reports. 13(1). 6601–6601. 6 indexed citations
14.
Khand, Zahid Hussain, et al.. (2021). Storage Optimization using Adaptive Thresholding Motion Detection. SHILAP Revista de lepidopterología. 11(2). 6869–6872. 5 indexed citations
15.
Khan, Sajid Ullah, et al.. (2020). Image Interpolation via Gradient Correlation-Based Edge Direction Estimation. Scientific Programming. 2020. 1–12. 8 indexed citations
16.
Khan, Sajid Ullah, Dong‐Ho Lee, Muhammad Asif Khan, Abdul Rehman Gilal, & Ghulam Mujtaba. (2019). Efficient Edge-Based Image Interpolation Method Using Neighboring Slope Information. IEEE Access. 7. 133539–133548. 13 indexed citations
17.
Khan, Sajid Ullah, et al.. (2018). A context-aware reasoning framework for heterogeneous systems. 111. 1–9. 4 indexed citations
18.
Khan, Sajid Ullah, et al.. (2015). X-Ray Image Enhancement Using a Boundary Division Wiener Filter and Wavelet-Based Image Fusion Approach. Journal of Information Processing Systems. 11 indexed citations
19.
Rehman, Muhammad Habib ur, et al.. (2014). Emerging resistance against different fungicides in Lasiodiplodia theobromae, the cause of mango dieback in Pakistan. Archives of Biological Sciences. 67(1). 241–249. 13 indexed citations
20.
Khan, Sajid Ullah. (2013). Data warehouse enhancement manipulating materialized view hierarchy. 26. 369–372. 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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