Md Babul Islam

559 total citations
33 papers, 339 citations indexed

About

Md Babul Islam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Md Babul Islam has authored 33 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Md Babul Islam's work include Sentiment Analysis and Opinion Mining (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Speech and Audio Processing (3 papers). Md Babul Islam is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Speech and Audio Processing (3 papers). Md Babul Islam collaborates with scholars based in Italy, Bangladesh and India. Md Babul Islam's co-authors include S M Masfequier Rahman Swapno, S. M. Nuruzzaman Nobel, Rezaul Haque, Piyush Kumar Pareek, Piyush Kumar Shukla, Keshav Kaushik, Gunjan Chhabra, Francesco Benedetto, V. P. Meena and Prashant Kumar Shukla and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neural Computing and Applications.

In The Last Decade

Md Babul Islam

32 papers receiving 334 citations

Peers

Md Babul Islam

RNMI

CVPR

Amena Mahmoud Egypt

Vishal Dutt India

Mudita Uppal India

Kamal Kant Hiran India

K. Thinakaran India

G. Pradeepini India

Varun Malik India

Surendran Rajendran India

R.C. Suganthe India

Balajee Maram India

Amena Mahmoud Egypt

Md Babul Islam

151 ×1.0

77 ×1.8

RNMI

76 ×1.9

CVPR

32 ×0.8

16 ×0.5

Citations per year, relative to Md Babul Islam Md Babul Islam (= 1×) peers Amena Mahmoud

Countries citing papers authored by Md Babul Islam

Since Specialization

Citations

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

Fields of papers citing papers by Md Babul Islam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Babul Islam. 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 Md Babul Islam. The network helps show where Md Babul Islam may publish in the future.

Co-authorship network of co-authors of Md Babul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Md Babul Islam. A scholar is included among the top collaborators of Md Babul Islam 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 Md Babul Islam. Md Babul Islam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Swapno, S M Masfequier Rahman, S. M. Nuruzzaman Nobel, Md Babul Islam, Pronaya Bhattacharya, & Ebrahim A. Mattar. (2025). ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification. Neural Computing and Applications. 37(9). 6583–6600. 10 indexed citations

Nag, Anindya, et al.. (2024). A Review of Machine Learning Methods for IoT Network-Centric Anomaly Detection. 26–31. 8 indexed citations

Rahman, Mohammad Mominur, Md. Shamim Anower, Md. Masud Rana, et al.. (2024). Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification. IEEE Access. 12. 71566–71584. 20 indexed citations

Nobel, S. M. Nuruzzaman, S M Masfequier Rahman Swapno, Md Babul Islam, V. P. Meena, & Francesco Benedetto. (2024). Performance Improvements of Machine Learning-Based Crime Prediction, A Case Study in Bangladesh. 1–7. 13 indexed citations

Islam, Md Babul, Antonio Guerrieri, Raffaele Gravina, & Giancarlo Fortino. (2024). A Meta-Survey on Intelligent Energy-Efficient Buildings. Big Data and Cognitive Computing. 8(8). 83–83. 6 indexed citations

Swapno, S M Masfequier Rahman, et al.. (2024). IoT-Enabled Smart Manhole Management System for Real-time Status, Water Level, and Gas Detection. 1–7. 13 indexed citations

Nobel, S. M. Nuruzzaman, S M Masfequier Rahman Swapno, Md Babul Islam, et al.. (2024). A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes. SHILAP Revista de lepidopterología. 7(5). 15 indexed citations

Swapno, S M Masfequier Rahman, S. M. Nuruzzaman Nobel, Md Babul Islam, et al.. (2024). A Novel Machine Learning Approach for Fast and Efficient Detection of Mango Leaf Diseases. 1–7. 15 indexed citations

Islam, Md Babul, Antonio Guerrieri, Raffaele Gravina, & Giancarlo Fortino. (2024). A Deep Learning Based Digital Twin for Indoor Temperature Prediction in Smart Buildings. 83–89. 1 indexed citations

10.

Nobel, S. M. Nuruzzaman, et al.. (2024). Hybrid CNN LSTM Approach for Sentiment Analysis of Bengali Language Comment on Facebook. 1–8. 10 indexed citations

11.

Swapno, S M Masfequier Rahman, et al.. (2023). An Adaptive Traffic Signal Management System Incorporating Reinforcement Learning. 1–6. 18 indexed citations

12.

Haque, Rezaul, et al.. (2023). Improving Drug Review Categorization Using Sentiment Analysis and Machine Learning. 1–6. 27 indexed citations

13.

Haque, Rezaul, et al.. (2023). Deep Learning for Multi-Labeled Cyberbully Detection: Enhancing Online Safety. 1–6. 16 indexed citations

14.

Naqvi, Muhammad Raza, Syed Khuram Shahzad, Gunjan Chhabra, et al.. (2023). Migrating to Big Data: Contextual Challenges for Data-driven Success. 660–668. 1 indexed citations

15.

Swapno, S M Masfequier Rahman, et al.. (2023). Deep Learning Based Tuberculosis and Pneumonia Disease Detection Using CNN. 670–676. 12 indexed citations

16.

Islam, Md Babul, et al.. (2022). Pandemic Outbreak Time: Evaluation of Public Tweet Opinion by Machine Learning. 2314. 1–6. 16 indexed citations

17.

Islam, Md Babul, et al.. (2022). Detect deception on banking credit card payment system by machine learning classifiers. 86–86. 13 indexed citations

18.

Islam, Md Babul, et al.. (2022). Cost Reduce: Credit Card Fraud Identification Using Machine Learning. 2022 7th International Conference on Communication and Electronics Systems (ICCES). 1192–1198. 15 indexed citations

19.

Islam, Md Babul, et al.. (2020). Effect of Financial Entrepreneurship and Literacy Program on Women Empowerment: A Case Study in Khulna District. International journal of scientific and technology research. 9(6). 803–810. 6 indexed citations

20.

Islam, Md Babul, et al.. (2012). Performance Evaluation of CMN for Mel-LPC based Speech Recognition in Different Noisy Environments. International Journal of Computer Applications. 58(10). 6–10. 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.

Explore authors with similar magnitude of impact