Farman Ali

148 papers receiving 5.1k citations

Farman Ali's Hit Papers

Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions 2025 · 47 citations
470+2+4Years since publication200400600

Peers

Farman Ali
Comparison fields: 5 of 189
  • Health Information Management 726
  • Health Informatics 106
  • Artificial Intelligence 1.6k
  • Computer Networks and Communications 768
  • Information Systems 696
Replace Sami Azam with:
Sami Azam Australia
Aditya Khamparia India
Sweta Bhattacharya India
Sushruta Mishra India
Chinmay Chakraborty India
Shah Nazir Pakistan
Imran Ashraf South Korea
Muhammad Fazal Ijaz India
Ali Idri Morocco
Kathiravan Srinivasan India
Farman Ali relative to Sami Azam Australia Sami Azam's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Farman Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Farman Ali Line = papers co-authored together Farman Ali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
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2020606
2
An intelligent healthcare monitoring framework using wearable sensors and social networking data
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2020271
3
An advanced deep learning models-based plant disease detection: A review of recent research
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2023270
4
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
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2022185
5 2021166
6 2017153
7 2019150
8 2021147
9 2017114
10 2017106
11 2016105
12 202083
13 201978
14 201978
15 201877
16 201477
17
AI student success predictor: Enhancing personalized learning in campus management systems
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202476
18 202275
19 202275
20 201974

About Farman Ali

Farman Ali is a scholar working on Computer Networks and Communications, Artificial Intelligence, Health Information Management, Information Systems and Signal Processing, having authored 162 papers that have together received 5.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Artificial Intelligence in Healthcare (13 papers), Sentiment Analysis and Opinion Mining (10 papers), Blockchain Technology Applications and Security (10 papers), Smart Agriculture and AI (8 papers), Wireless Body Area Networks (8 papers), Network Security and Intrusion Detection (7 papers) and Advanced Malware Detection Techniques (7 papers). The work is most often cited by research in Health Information Management (726 citations), Health Informatics (106 citations), Artificial Intelligence (1.6k citations), Computer Networks and Communications (768 citations) and Information Systems (696 citations). Farman Ali has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Shaker El–Sappagh, Daehan Kwak, S. M. Riazul Islam, Amjad Ali, Muhammad Ali Imran, Kyung Sup Kwak, Babar Shah, Tamer Abuhmed, Jaiteg Singh and Tariq Hussain. Their work appears in journals such as IEEE Access, Frontiers in Plant Science, Computers, materials & continua/Computers, materials & continua (Print), Sensors and IEEE Journal of Biomedical and Health Informatics.

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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