Fahmid Al Farid

796 total citations
48 papers, 403 citations indexed

About

Fahmid Al Farid is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Fahmid Al Farid has authored 48 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Fahmid Al Farid's work include Anomaly Detection Techniques and Applications (7 papers), Video Surveillance and Tracking Methods (6 papers) and Fire Detection and Safety Systems (6 papers). Fahmid Al Farid is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Video Surveillance and Tracking Methods (6 papers) and Fire Detection and Safety Systems (6 papers). Fahmid Al Farid collaborates with scholars based in Malaysia, Bangladesh and South Korea. Fahmid Al Farid's co-authors include Noramiza Hashim, Junaidi Abdullah, Mamunur Rashid, Mohd Nizam Husen, Gobbi Ramasamy, Jia Uddin, Mohammed Hussein Saleh Mohammed Haram, Md Shofiqul Islam, Md Nahidul Islam and Bifta Sama Bari and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Fahmid Al Farid

41 papers receiving 383 citations

Peers

Fahmid Al Farid

CVPR

EEE

Rhen Anjerome Bedruz Philippines

Pengfei Zhao China

M. Saeed Darweesh Egypt

Arnold C. Paglinawan Philippines

Liukui Chen China

Muhammad Irsyad Abdullah Malaysia

Sheikh Ziauddin Pakistan

Fatih Başçi̇ftçi̇ Türkiye

C. Ganesh Babu India

Analyn N. Yumang Philippines

Rhen Anjerome Bedruz Philippines

Fahmid Al Farid

156 ×1.7

CVPR

48 ×0.5

EEE

33 ×0.4

59 ×0.9

79 ×1.3

Citations per year, relative to Fahmid Al Farid Fahmid Al Farid (= 1×) peers Rhen Anjerome Bedruz

Countries citing papers authored by Fahmid Al Farid

Since Specialization

Citations

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

Fields of papers citing papers by Fahmid Al Farid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fahmid Al Farid. 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 Fahmid Al Farid. The network helps show where Fahmid Al Farid may publish in the future.

Co-authorship network of co-authors of Fahmid Al Farid

This figure shows the co-authorship network connecting the top 25 collaborators of Fahmid Al Farid. A scholar is included among the top collaborators of Fahmid Al Farid 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 Fahmid Al Farid. Fahmid Al Farid 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

Farid, Fahmid Al, et al.. (2025). A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization. Frontiers in Artificial Intelligence. 8. 1626699–1626699.

Rahman, Mahmudur, et al.. (2025). Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11. Future Internet. 17(5). 187–187. 1 indexed citations

Farid, Fahmid Al, et al.. (2025). Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 5(2). 19–19. 3 indexed citations

Farid, Fahmid Al, et al.. (2025). A Lightweight CNN for Multiclass Retinal Disease Screening with Explainable AI. Journal of Imaging. 11(8). 275–275.

Rahman, Anichur, et al.. (2025). Comparative analysis based on DeepSeek, ChatGPT, and Google Gemini: Features, techniques, performance, future prospects. Systems and Soft Computing. 7. 200396–200396. 3 indexed citations

Farid, Fahmid Al, et al.. (2025). Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature Fusion. Journal of Imaging. 11(8). 273–273.

Farid, Fahmid Al, et al.. (2025). An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images. Scientific Reports. 15(1). 17531–17531. 5 indexed citations

Kundu, Dipanjali, et al.. (2025). Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction. IEEE Open Journal of the Computer Society. 6. 726–738. 2 indexed citations

Haram, Mohammed Hussein Saleh Mohammed, et al.. (2024). Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart Charging Systems. Energies. 17(22). 5772–5772. 11 indexed citations

10.

Thiagarajah, Siva Priya, et al.. (2024). Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia. World Electric Vehicle Journal. 15(10). 440–440. 19 indexed citations

11.

Uddin, Mohammad Nasir, et al.. (2024). A Novel Approach for Tomato Leaf Disease Detection and Classification Using Deep Learning. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 1–6. 1 indexed citations

12.

Haram, Mohammed Hussein Saleh Mohammed, et al.. (2024). Readiness of Malaysian PV System to Utilize Energy Storage System with Second-Life Electric Vehicle Batteries. Energies. 17(16). 3953–3953. 12 indexed citations

13.

Miah, Abu Saleh Musa, et al.. (2024). Eye Disease Detection Enhancement Using a Multi-Stage Deep Learning Approach. IEEE Access. 1–1. 5 indexed citations

14.

Farid, Fahmid Al, et al.. (2024). Advancements in Multi-View Human Activity Recognition for Ambient Assisted Living. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 1–6. 1 indexed citations

15.

Farid, Fahmid Al, et al.. (2024). Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset. IEEE Access. 12. 69853–69874. 10 indexed citations

16.

Mansor, Sarina, et al.. (2023). Investigation of Optimal Perturbation Signals for Multivariable System Under Model Predictive Control. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 304–309. 1 indexed citations

17.

Haram, Mohammed Hussein Saleh Mohammed, et al.. (2023). Solar Photovoltaic Home Systems in Malaysia: A Comprehensive Review and Analysis. Energies. 16(23). 7718–7718. 16 indexed citations

18.

Abdullah, Junaidi, et al.. (2023). Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN. Journal Of Big Data. 10(1). 7 indexed citations

19.

Farid, Fahmid Al, et al.. (2023). An Overview of System Identification Procedures and Perturbation Signal. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 282–287. 1 indexed citations

20.

Farid, Fahmid Al, et al.. (2015). A novel approach toward parallel implementation of BFS algorithm using graphic processor unit. 1–4. 2 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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