Farhan Amin

1.5k total citations
72 papers, 852 citations indexed

About

Farhan Amin is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Farhan Amin has authored 72 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 19 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Farhan Amin's work include IoT and Edge/Fog Computing (12 papers), Network Security and Intrusion Detection (9 papers) and Complex Network Analysis Techniques (8 papers). Farhan Amin is often cited by papers focused on IoT and Edge/Fog Computing (12 papers), Network Security and Intrusion Detection (9 papers) and Complex Network Analysis Techniques (8 papers). Farhan Amin collaborates with scholars based in South Korea, Pakistan and Saudi Arabia. Farhan Amin's co-authors include Gyu Sang Choi, Abdu Salam, Faizan Ullah, Mohammad Abrar, Rashid Abbasi, Awais Ahmad, Muhammad Nadeem, Amerah Alabrah, Salabat Khan and Abdul Mateen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Farhan Amin

60 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farhan Amin South Korea 18 302 242 190 148 137 72 852
Sultan H. Almotiri Saudi Arabia 16 236 0.8× 257 1.1× 241 1.3× 173 1.2× 168 1.2× 36 1.1k
Gokulnath Chandra Babu India 11 213 0.7× 293 1.2× 173 0.9× 165 1.1× 90 0.7× 25 827
Sunil L. Bangare India 12 208 0.7× 210 0.9× 126 0.7× 121 0.8× 59 0.4× 32 733
S. Manimurugan Saudi Arabia 17 378 1.3× 395 1.6× 233 1.2× 160 1.1× 140 1.0× 58 966
K. Vijayakumar India 18 244 0.8× 342 1.4× 106 0.6× 194 1.3× 45 0.3× 73 980
Pundru Chandra Shaker Reddy India 23 158 0.5× 421 1.7× 113 0.6× 84 0.6× 128 0.9× 93 1.1k
Sultan Almotairi Saudi Arabia 14 129 0.4× 266 1.1× 238 1.3× 86 0.6× 73 0.5× 58 873
S. Velliangiri India 16 456 1.5× 378 1.6× 183 1.0× 292 2.0× 76 0.6× 97 1.1k
Samir Elmougy Egypt 17 221 0.7× 338 1.4× 235 1.2× 151 1.0× 41 0.3× 70 935

Countries citing papers authored by Farhan Amin

Since Specialization
Citations

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

Fields of papers citing papers by Farhan Amin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhan Amin

This figure shows the co-authorship network connecting the top 25 collaborators of Farhan Amin. A scholar is included among the top collaborators of Farhan Amin 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 Farhan Amin. Farhan Amin 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.
Rahman, Shahid, Jamal Uddin, Hameed Hussain, et al.. (2025). A novel and efficient digital image steganography technique using least significant bit substitution. Scientific Reports. 15(1). 107–107. 4 indexed citations
2.
Munir, Asim, et al.. (2024). A Dynamic Trust evaluation and update model using advance decision tree for underwater Wireless Sensor Networks. Scientific Reports. 14(1). 22393–22393. 4 indexed citations
3.
Amin, Farhan, Rashid Abbasi, Salabat Khan, et al.. (2024). Latest advancements and prospects in the next-generation of Internet of Things technologies. PeerJ Computer Science. 10. e2434–e2434. 3 indexed citations
4.
Ullah, Faizan, Abdu Salam, Muhammad Nadeem, et al.. (2024). Extended dipeptide composition framework for accurate identification of anticancer peptides. Scientific Reports. 14(1). 17381–17381. 4 indexed citations
5.
Ullah, Faizan, et al.. (2024). Deep Trust: A Novel Framework for Dynamic Trust and Reputation Management in the Internet of Things (IoT)-Based Networks. IEEE Access. 12. 87407–87419. 16 indexed citations
6.
Salam, Abdu, et al.. (2024). Big Data Analytics Model Using Artificial Intelligence (AI) and 6G Technologies for Healthcare. IEEE Access. 12. 97924–97937. 6 indexed citations
7.
Salam, Abdu, et al.. (2024). Securing Smart Manufacturing by Integrating Anomaly Detection With Zero-Knowledge Proofs. IEEE Access. 12. 36346–36360. 26 indexed citations
8.
Amin, Farhan, Ligang He, & Gyu Sang Choi. (2024). City Hotspot Identification Using Smart Cyber-Physical Social System. IEEE Access. 12. 60556–60567.
9.
Amin, Farhan & Gyu Sang Choi. (2024). Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System. Computers, materials & continua/Computers, materials & continua (Print). 80(3). 3507–3521. 1 indexed citations
10.
Salam, Abdu, et al.. (2024). Efficient prediction of anticancer peptides through deep learning. PeerJ Computer Science. 10. e2171–e2171. 8 indexed citations
11.
Amin, Farhan & Gyu Sang Choi. (2023). Intelligent Service Search Model Using Emerging Technologies. Computers, materials & continua/Computers, materials & continua (Print). 77(1). 1165–1181. 1 indexed citations
12.
Ullah, Faizan, Muhammad Nadeem, Mohammad Abrar, et al.. (2023). Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures. Mathematics. 11(19). 4189–4189. 54 indexed citations
13.
Khan, Salabat, Fei Luo, Zijian Zhang, et al.. (2023). A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies. IEEE Communications Surveys & Tutorials. 25(4). 2529–2568. 17 indexed citations
14.
Khalid, Arslan, Arif Mehmood, Amerah Alabrah, et al.. (2023). Breast Cancer Detection and Prevention Using Machine Learning. Diagnostics. 13(19). 3113–3113. 54 indexed citations
15.
Salam, Abdu, et al.. (2023). Efficient Data Collaboration Using Multi-Party Privacy Preserving Machine Learning Framework. IEEE Access. 11. 138151–138164. 17 indexed citations
16.
Amin, Farhan & Gyu Sang Choi. (2021). Advanced Service Search Model for Higher Network Navigation Using Small World Networks. IEEE Access. 9. 70584–70595. 14 indexed citations
17.
Amin, Farhan & Gyu Sang Choi. (2020). Hotspots Analysis Using Cyber-Physical-Social System for a Smart City. IEEE Access. 8. 122197–122209. 31 indexed citations
18.
Amin, Farhan, Rashid Abbasi, Abdul Rehman, & Gyu Sang Choi. (2019). An Advanced Algorithm for Higher Network Navigation in Social Internet of Things Using Small-World Networks. Sensors. 19(9). 2007–2007. 49 indexed citations
19.
Amin, Farhan, Awais Ahmad, & Gyu Sang Choi. (2019). Towards Trust and Friendliness Approaches in the Social Internet of Things. Applied Sciences. 9(1). 166–166. 58 indexed citations
20.
Amin, Farhan, Awais Ahmad, & Gyu Sang Choi. (2018). Community Detection and Mining Using Complex Networks Tools in Social Internet of Things. 2086–2091. 19 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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