Muhammad Usman Ashraf

2.8k total citations
146 papers, 1.8k citations indexed

About

Muhammad Usman Ashraf is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Muhammad Usman Ashraf has authored 146 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 33 papers in Information Systems and 32 papers in Computer Networks and Communications. Recurrent topics in Muhammad Usman Ashraf's work include Nanofluid Flow and Heat Transfer (18 papers), Privacy-Preserving Technologies in Data (13 papers) and IoT and Edge/Fog Computing (9 papers). Muhammad Usman Ashraf is often cited by papers focused on Nanofluid Flow and Heat Transfer (18 papers), Privacy-Preserving Technologies in Data (13 papers) and IoT and Edge/Fog Computing (9 papers). Muhammad Usman Ashraf collaborates with scholars based in Pakistan, Saudi Arabia and China. Muhammad Usman Ashraf's co-authors include Ahmed Mohammed Alghamdi, Muhammad Qasim, Yasir Waheed, Imran Khan, Khalid Alsubhi, Ahmed S. Alfakeeh, Abderrahim Wakif, Muhammad Idrees Afridi, Ayaz Hussain and Mubashir Ahmad and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Muhammad Usman Ashraf

129 papers receiving 1.8k citations

Peers

Muhammad Usman Ashraf

CNC

Jana Shafi Saudi Arabia

Jinn‐Tsong Tsai Taiwan

Dac‐Nhuong Le Vietnam

Abolfazl Mehbodniya Kuwait

Adam Słowik Poland

Muhammad Nomani Kabir Malaysia

Songfeng Lu China

Xinheng Wang China

Mohammad Shehab Jordan

Jana Shafi Saudi Arabia

Muhammad Usman Ashraf

457 ×0.9

169 ×0.4

131 ×0.5

293 ×1.1

CNC

57 ×0.2

Citations per year, relative to Muhammad Usman Ashraf Muhammad Usman Ashraf (= 1×) peers Jana Shafi

Countries citing papers authored by Muhammad Usman Ashraf

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Usman Ashraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Usman Ashraf

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Usman Ashraf. A scholar is included among the top collaborators of Muhammad Usman Ashraf 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 Usman Ashraf. Muhammad Usman Ashraf 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

Potoglou, Dimitris, Muhammad Usman Ashraf, Katarzyna Stawarz, et al.. (2025). Digital roads and data ethics: Exploring the road users’ perspective. Transportation Research Part F Traffic Psychology and Behaviour. 115. 103330–103330.

Altaf, Muhammad, et al.. (2025). Neural network-based ensemble approach for multi-view facial expression recognition. PLoS ONE. 20(3). e0316562–e0316562. 1 indexed citations

Anjum, Shazia, et al.. (2024). Quercetagetin 3,7 dimethyl ether polymorphs as multi-targeted anti-amyloid agents: Target to cognitive impairment in Alzheimer's disease. Journal of Molecular Structure. 1321. 139792–139792. 1 indexed citations

Ashraf, Muhammad Usman, et al.. (2024). Ascertainment of the most suitable water harvesting sites in a data-scarce region via an integrated PROMETHEE-II–AHP method in GIS environment. Water Practice & Technology. 19(3). 796–811. 3 indexed citations

Ashraf, Muhammad Usman & Khalid Ali Almarhabi. (2024). An Advanced Dummy Position-Based Privacy Provisioning Framework for TTP-Based LBS System. IEEE Access. 12. 23252–23264. 2 indexed citations

Perveen, Sajida, et al.. (2024). A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique. IEEE Access. 12. 29252–29268. 17 indexed citations

Ashraf, Muhammad Usman, et al.. (2024). Enhanced Wasserstein Generative Adversarial Network (EWGAN) to Oversample Imbalanced Datasets. Bulletin of Business and Economics (BBE). 13(3). 385–395.

Khan, Imran, Anwar Ghani, Syed Muhammad Saqlain, et al.. (2023). Secure Medical Data Against Unauthorized Access Using Decoy Technology in Distributed Edge Computing Networks. IEEE Access. 11. 144560–144573. 6 indexed citations

Akram, Sheeraz, Muhammad Waseem Iqbal, Muhammad Usman Ashraf, et al.. (2023). Classification and Prediction of Significant Cyber Incidents (SCI) Using Data Mining and Machine Learning (DM-ML). IEEE Access. 11. 94486–94496. 7 indexed citations

10.

Nawaz, Yasir, et al.. (2023). A new explicit numerical scheme for enhancement of heat transfer in Sakiadis flow of micro polar fluid using electric field. Heliyon. 9(10). e20868–e20868. 8 indexed citations

11.

Iqbal, Muhammad Waseem, Arfan Jaffar, Muhammad Usman Ashraf, et al.. (2023). Recognizing Brain Tumors Using Adaptive Noise Filtering and Statistical Features. Diagnostics. 13(8). 1451–1451. 12 indexed citations

12.

Ahmed, Muhammad Mahmood, et al.. (2022). AAQAL: A Machine Learning-Based Tool for Performance Optimization of Parallel SPMV Computations Using Block CSR. Applied Sciences. 12(14). 7073–7073. 9 indexed citations

13.

Abdullah, Saima, et al.. (2022). Ensuring Security and Energy Efficiency of Wireless Sensor Network by Using Blockchain. Applied Sciences. 12(21). 10794–10794. 12 indexed citations

14.

Asif, Muhammad, Joshua Kiddy K. Asamoah, Mohammad Mazyad Hazzazi, et al.. (2022). A Novel Image Encryption Technique Based on Cyclic Codes over Galois Field. Computational Intelligence and Neuroscience. 2022. 1–9. 15 indexed citations

15.

Ahmad, Naveed, et al.. (2022). Iteration Causes, Impact, and Timing in Software Development Lifecycle: An SLR. IEEE Access. 10. 65355–65375. 4 indexed citations

16.

Nawaz, Yasir, Muhammad Shoaib Arif, Wasfı Shatanawi, & Muhammad Usman Ashraf. (2022). A Fourth Order Numerical Scheme for Unsteady Mixed Convection Boundary Layer Flow: A Comparative Computational Study. Energies. 15(3). 910–910. 8 indexed citations

17.

Ahmad, Mubashir, Ayaz Hussain, Muhammad Usman Ashraf, et al.. (2021). Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling. IEEE Access. 9. 24273–24287. 160 indexed citations

18.

Saeed, Sanay Muhammad Umar, et al.. (2021). EEG in game user analysis: A framework for expertise classification during gameplay. PLoS ONE. 16(6). e0246913–e0246913. 15 indexed citations

19.

Ashraf, Muhammad Usman, et al.. (2020). Computational Analysis of the Effect of Nano Particle Material Motion on Mixed Convection Flow in the Presence of Heat Generation and Absorption. Computers, materials & continua/Computers, materials & continua (Print). 65(2). 1809–1823. 26 indexed citations

20.

Ashraf, Muhammad Usman, et al.. (2020). Detection and Tracking Contagion using IoT-Edge Technologies: Confronting COVID-19 Pandemic. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). 1–6. 34 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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