Farman Ali

7.1k total citations · 6 hit papers
150 papers, 4.3k citations indexed

About

Farman Ali is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Farman Ali has authored 150 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 27 papers in Computer Networks and Communications and 26 papers in Information Systems. Recurrent topics in Farman Ali's work include IoT and Edge/Fog Computing (15 papers), Artificial Intelligence in Healthcare (13 papers) and Blockchain Technology Applications and Security (10 papers). Farman Ali is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Artificial Intelligence in Healthcare (13 papers) and Blockchain Technology Applications and Security (10 papers). Farman Ali collaborates with scholars based in South Korea, Pakistan and United States. Farman Ali's co-authors include Kyung Sup Kwak, Shaker El–Sappagh, S. M. Riazul Islam, Daehan Kwak, Amjad Ali, Muhammad Imran, Babar Shah, Tamer Abuhmed, Pervez Khan and Yong‐Gi Kim and has published in prestigious journals such as Gastroenterology, PLoS ONE and Neurology.

In The Last Decade

Farman Ali

130 papers receiving 4.1k citations

Hit Papers

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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.

A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion

2020 526 citations Farman Ali, Shaker El–Sappagh et al. profile →
An intelligent healthcare monitoring framework using wearable sensors and social networking data

2020 241 citations Farman Ali, Shaker El–Sappagh et al. profile →
An advanced deep learning models-based plant disease detection: A review of recent research

2023 191 citations Muhammad Shoaib, Babar Shah et al. profile →
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

2022 143 citations Muhammad Shoaib, Tariq Hussain et al. profile →
AI student success predictor: Enhancing personalized learning in campus management systems

2024 49 citations Muhammad Shoaib, Jaiteg Singh et al. Computers in Human Behavior profile →
Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions

2025 15 citations Muhammad Shoaib, Abolghasem Sadeghi‐Niaraki et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Farman Ali	1.4k	684	673	618	450	150	4.3k
Shaker El–Sappagh	2.3k 1.6×	1.0k 1.5×	562 0.8×	577 0.9×	443 1.0×	146	5.3k
Muhammad Fazal Ijaz	1.2k 0.8×	304 0.4×	645 1.0×	451 0.7×	783 1.7×	95	4.0k
Adnan Mohsin Abdulazeez	1.5k 1.1×	427 0.6×	322 0.5×	397 0.6×	769 1.7×	115	4.5k
Kathiravan Srinivasan	901 0.6×	207 0.3×	571 0.8×	374 0.6×	422 0.9×	171	3.7k
Aditya Khamparia	1.2k 0.8×	445 0.7×	427 0.6×	477 0.8×	357 0.8×	94	3.0k
Imran Ashraf	1.9k 1.3×	332 0.5×	993 1.5×	751 1.2×	580 1.3×	377	6.1k
Sweta Bhattacharya	1.4k 1.0×	328 0.5×	1.2k 1.7×	844 1.4×	635 1.4×	61	4.3k
Ashish Khanna	1.7k 1.2×	367 0.5×	1.1k 1.6×	660 1.1×	1.0k 2.3×	179	5.7k
Sagheer Abbas	1.4k 1.0×	356 0.5×	991 1.5×	1.0k 1.6×	713 1.6×	150	4.6k
Chinmay Chakraborty	1.4k 1.0×	292 0.4×	1.2k 1.8×	830 1.3×	769 1.7×	195	4.5k

Countries citing papers authored by Farman Ali

Since Specialization

Citations

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

Fields of papers citing papers by Farman Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farman Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Farman Ali. A scholar is included among the top collaborators of Farman Ali 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 Farman Ali. Farman Ali 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, Arfat Ahmad, Rakesh Kumar Mahendran, Fasee Ullah, et al.. (2025). AI-Driven Dynamic Allocation and Management Optimization for EV Charging Stations. IEEE Transactions on Intelligent Transportation Systems. 27(3). 3702–3714.

Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi‐Niaraki, Farman Ali, Saied Pirasteh, & Soo-Mi Choi. (2025). Enhancing land subsidence susceptibility mapping using deep tabular learning optimization with metaheuristic algorithms. Gondwana Research. 148. 53–76.

Razavi-Termeh, Seyed Vahid, et al.. (2025). Spatially explicit and interpretable GeoAI models for understanding factors controlling groundwater availability. Journal of Hydrology. 665. 134683–134683.

Khan, Arfat Ahmad, et al.. (2025). Lightweight Multimedia Anomaly and Integrity Detection for Consumer IoT Using Knowledge Distillation. IEEE Transactions on Consumer Electronics. 72(1). 2465–2475.

Mahendran, Rakesh Kumar, et al.. (2025). PRISM-IIoT: A holistic approach for privacy preservation in industrial IoT using advanced cryptography and blockchain-enabled auditability framework. Alexandria Engineering Journal. 128. 816–832.

Hussain, Altaf, et al.. (2024). Computing Challenges of UAV Networks: A Comprehensive Survey. Computers, materials & continua/Computers, materials & continua (Print). 81(2). 1999–2051. 6 indexed citations

Shoaib, Muhammad, et al.. (2024). AI student success predictor: Enhancing personalized learning in campus management systems. Computers in Human Behavior. 158. 108301–108301. 49 indexed citations breakdown →

Razavi-Termeh, Seyed Vahid, Abolghasem Sadeghi‐Niaraki, Farman Ali, Rizwan Ali Naqvi, & Soo-Mi Choi. (2024). Cutting-Edge strategies for absence data identification in natural hazards: Leveraging Voronoi-Entropy in flood susceptibility mapping with advanced AI techniques. Journal of Hydrology. 648. 132337–132337. 4 indexed citations

Hussain, Tariq, et al.. (2024). Ensuring Zero Trust IoT Data Privacy: Differential Privacy in Blockchain Using Federated Learning. IEEE Transactions on Consumer Electronics. 71(1). 1167–1179. 8 indexed citations

10.

Singh, Jaiteg, et al.. (2024). A Systematic Review of Contemporary Indoor Positioning Systems: Taxonomy, Techniques, and Algorithms. IEEE Internet of Things Journal. 11(21). 34717–34733. 21 indexed citations

11.

Kumaravelu, Vinoth Babu, et al.. (2024). Ethereum Blockchain Framework Enabling Banks to Know Their Customers. IEEE Access. 12. 101356–101365. 2 indexed citations

12.

Ali, Farman, et al.. (2024). Blood cell image segmentation and classification: a systematic review. PeerJ Computer Science. 10. e1813–e1813. 8 indexed citations

13.

Khalid, Shah, et al.. (2024). HADE: Exploiting Human Action Recognition Through Fine-Tuned Deep Learning Methods. IEEE Access. 12. 42769–42790. 9 indexed citations

14.

Malik, Hassaan, Ahmad Naeem, Shahzad Hassan, et al.. (2023). Multi-classification deep neural networks for identification of fish species using camera captured images. PLoS ONE. 18(4). e0284992–e0284992. 12 indexed citations

15.

Naqvi, Rizwan Ali, et al.. (2023). DarkDeblur: Learning single-shot image deblurring in low-light condition. Expert Systems with Applications. 222. 119739–119739. 17 indexed citations

16.

El–Sappagh, Shaker, José M. Alonso, Tamer Abuhmed, Farman Ali, & Alberto Bugarín. (2023). Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges. Artificial Intelligence Review. 56(10). 11149–11296. 23 indexed citations

17.

Shah, Babar, et al.. (2022). Using Modified Technology Acceptance Model to Evaluate the Adoption of a Proposed IoT-Based Indoor Disaster Management Software Tool by Rescue Workers. Sensors. 22(5). 1866–1866. 22 indexed citations

18.

Kabir, Md. Humaun, S. M. Riazul Islam, Anish Prasad Shrestha, et al.. (2021). Electromagnetic Nanocommunication Networks: Principles, Applications, and Challenges. IEEE Access. 9. 166147–166165. 13 indexed citations

19.

Attique, Muhammad, Muhammad Afzal, Farman Ali, et al.. (2020). Geo-Social Top-k and Skyline Keyword Queries on Road Networks. Sensors. 20(3). 798–798. 9 indexed citations

20.

Ranjan, Rajesh Kumar, et al.. (2017). Results of pronator quadratus pedicle bone graft as primary procedure for treatment of scaphoid nonunion. International Journal of Orthopaedics Sciences. 3(3n). 1008–1012. 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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