Md. Rashedul Islam

2.9k total citations
121 papers, 1.7k citations indexed

About

Md. Rashedul Islam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Md. Rashedul Islam has authored 121 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 16 papers in Control and Systems Engineering. Recurrent topics in Md. Rashedul Islam's work include Hand Gesture Recognition Systems (11 papers), Machine Fault Diagnosis Techniques (9 papers) and Fault Detection and Control Systems (7 papers). Md. Rashedul Islam is often cited by papers focused on Hand Gesture Recognition Systems (11 papers), Machine Fault Diagnosis Techniques (9 papers) and Fault Detection and Control Systems (7 papers). Md. Rashedul Islam collaborates with scholars based in Bangladesh, Japan and South Korea. Md. Rashedul Islam's co-authors include Jong-Myon Kim, Jungpil Shin, Nadeem Ahmed, Yutaka Watanobe, M. F. Mridha, Aklima Akter Lima, Sujoy Chandra Das, Md. Mohsin Kabir, Md Abdur Rahim and Sheraz Ali Khan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Md. Rashedul Islam

109 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Rashedul Islam Bangladesh 21 472 339 223 220 207 121 1.7k
Yuansong Qiao Ireland 20 446 0.9× 166 0.5× 133 0.6× 202 0.9× 233 1.1× 125 2.3k
Minho Lee South Korea 26 748 1.6× 625 1.8× 227 1.0× 353 1.6× 164 0.8× 174 2.3k
Kwee-Bo Sim South Korea 16 362 0.8× 406 1.2× 150 0.7× 175 0.8× 101 0.5× 178 1.4k
Taşkın Padır United States 17 320 0.7× 160 0.5× 364 1.6× 97 0.4× 142 0.7× 124 1.2k
Ahmad Lotfi United Kingdom 22 872 1.8× 644 1.9× 227 1.0× 317 1.4× 109 0.5× 185 2.0k
Andrew Liu United States 14 664 1.4× 213 0.6× 335 1.5× 71 0.3× 286 1.4× 43 2.0k
Kosin Chamnongthai Thailand 19 798 1.7× 245 0.7× 76 0.3× 186 0.8× 237 1.1× 183 1.5k
Alberto F. De Souza Brazil 17 877 1.9× 376 1.1× 125 0.6× 162 0.7× 80 0.4× 103 1.7k
Arpan Pal India 24 295 0.6× 364 1.1× 101 0.5× 348 1.6× 82 0.4× 220 2.2k
Adham Atyabi United States 15 331 0.7× 300 0.9× 220 1.0× 128 0.6× 32 0.2× 45 1.1k

Countries citing papers authored by Md. Rashedul Islam

Since Specialization
Citations

This map shows the geographic impact of Md. Rashedul 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. Rashedul 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. Rashedul Islam more than expected).

Fields of papers citing papers by Md. Rashedul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Rashedul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Rashedul Islam. A scholar is included among the top collaborators of Md. Rashedul 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. Rashedul Islam. Md. Rashedul Islam 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.
Alam, Gazi Mahabubul, et al.. (2025). Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment. Scientific Reports. 15(1). 3655–3655. 11 indexed citations
2.
Lou, Juwei, Jiangfeng Wang, Weidong Chen, et al.. (2025). Enhanced performance evaluation and operational regulation of a novel combined cooling and power system using machine learning. Energy. 333. 137306–137306.
3.
Alam, Touhidul, Mohammad Tariqul Islam, Norbahiah Misran, et al.. (2024). Polarization insensitive multiband metamaterial absorber for bio-plastic sensing application. Materials Today Sustainability. 26. 100738–100738. 10 indexed citations
4.
Ahmed, N.A.M. Faisal, et al.. (2024). A Robust Deep Feature Extraction Method for Human Activity Recognition Using a Wavelet Based Spectral Visualisation Technique. Sensors. 24(13). 4343–4343. 5 indexed citations
5.
Shovon, Md Sakib Hossain, et al.. (2024). A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets. Scientific Reports. 14(1). 24882–24882. 11 indexed citations
6.
Lou, Juwei, Jiangfeng Wang, Liangqi Chen, et al.. (2024). Analysis of power load tracking and regulation performance in a distributed multi-energy coupled system with nuclear and solar sources. Energy. 307. 132681–132681. 6 indexed citations
7.
8.
Islam, Md. Rashedul, et al.. (2023). Long-Term Software Fault Prediction Model with Linear Regression and Data Transformation. 11(43). 222–231. 3 indexed citations
9.
Mridha, M. F., Md. Mohsin Kabir, Aklima Akter Lima, et al.. (2023). An Unsupervised Writer Identification Based on Generating Clusterable燛mbeddings. Computer Systems Science and Engineering. 46(2). 2059–2073. 3 indexed citations
10.
Islam, Md. Rashedul, et al.. (2022). A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection. IEEE Access. 10. 99595–99632. 41 indexed citations
11.
Lima, Aklima Akter, M. F. Mridha, Sujoy Chandra Das, et al.. (2022). A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders. Biology. 11(3). 469–469. 57 indexed citations
12.
Mridha, M. F., Md. Rashedul Islam, Aklima Akter Lima, et al.. (2022). A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification. Journal of Healthcare Engineering. 2022. 1–43. 19 indexed citations
13.
Mridha, M. F., Sujoy Chandra Das, Md. Mohsin Kabir, et al.. (2021). Brain-Computer Interface: Advancement and Challenges. Sensors. 21(17). 5746–5746. 128 indexed citations
14.
Shin, Jungpil, et al.. (2019). Arm movement activity based user authentication in P2P systems. Peer-to-Peer Networking and Applications. 13(2). 635–646. 8 indexed citations
15.
Islam, Md. Rashedul, Jia Uddin, & Jong-Myon Kim. (2016). Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines. BRAC University Institutional Repository (BRAC University). 34. 273–287. 20 indexed citations
16.
Islam, Md. Rashedul, et al.. (2016). Distance and Density Similarity Based Enhancedk-NN Classifier for Improving Fault Diagnosis Performance of Bearings. Shock and Vibration. 2016. 1–11. 10 indexed citations
17.
Uddin, Jia, Md. Rashedul Islam, & Jong-Myon Kim. (2014). Texture Feature Extraction Techniques for Fault Diagnosis of Induction Motors. Journal of Cryptology. 5(2). 15–20. 22 indexed citations
18.
Islam, Md. Rashedul, et al.. (2012). MiRANN: A reliable approach for improved classification of precursor microRNA using Artificial Neural Network model. Genomics. 99(4). 189–194. 27 indexed citations
19.
Arif, Abu Shamim Mohammad, et al.. (2009). An Enhanced Static Data Compression Scheme Of Bengali Short Message. 4. 15. 7 indexed citations
20.
Islam, Md. Rashedul, et al.. (2007). Person Identification Using Ear Biometrics. The International Journal of the Computer, the Internet and Management. 15(2). 1–8. 36 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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