M. Raihan

964 total citations
65 papers, 492 citations indexed

About

M. Raihan is a scholar working on Artificial Intelligence, Health Information Management and Signal Processing. According to data from OpenAlex, M. Raihan has authored 65 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 17 papers in Health Information Management and 7 papers in Signal Processing. Recurrent topics in M. Raihan's work include Artificial Intelligence in Healthcare (17 papers), Imbalanced Data Classification Techniques (10 papers) and Sentiment Analysis and Opinion Mining (6 papers). M. Raihan is often cited by papers focused on Artificial Intelligence in Healthcare (17 papers), Imbalanced Data Classification Techniques (10 papers) and Sentiment Analysis and Opinion Mining (6 papers). M. Raihan collaborates with scholars based in Bangladesh, India and Saudi Arabia. M. Raihan's co-authors include Laboni Akter, Md. Mehedi Hassan, Etu Podder, Anupam Kumar Bairagi, Arun More, Md. Mahedi Hassan, Sadika Zaman, Mehedi Masud, Khan Md. Hasib and Himadri Shekhar Mondal and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

M. Raihan

54 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Raihan Bangladesh 11 194 158 74 57 53 65 492
Juan Luís Vidal Mazón Spain 10 99 0.5× 57 0.4× 63 0.9× 31 0.5× 35 0.7× 20 380
Laboni Akter Bangladesh 8 138 0.7× 83 0.5× 56 0.8× 57 1.0× 54 1.0× 15 318
Jingchi Jiang China 14 201 1.0× 43 0.3× 19 0.3× 20 0.4× 74 1.4× 57 430
Selim Buyrukoğlu Türkiye 9 113 0.6× 65 0.4× 29 0.4× 13 0.2× 20 0.4× 30 288
Sandeep Chaurasia India 8 171 0.9× 141 0.9× 55 0.7× 8 0.1× 8 0.2× 28 378
Youcef Brik Algeria 9 124 0.6× 59 0.4× 47 0.6× 19 0.3× 14 0.3× 30 315
Ekin Ekıncı Türkiye 10 188 1.0× 22 0.1× 44 0.6× 14 0.2× 16 0.3× 47 365
Masoud Muhammed Hassan Iraq 9 105 0.5× 69 0.4× 62 0.8× 3 0.1× 12 0.2× 24 308
Al Amin Biswas Bangladesh 13 139 0.7× 30 0.2× 29 0.4× 9 0.2× 7 0.1× 27 459

Countries citing papers authored by M. Raihan

Since Specialization
Citations

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

Fields of papers citing papers by M. Raihan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Raihan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Raihan. A scholar is included among the top collaborators of M. Raihan 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 M. Raihan. M. Raihan 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.
2.
Miah, Abu Saleh Musa, M. Raihan, Mohammad Javad Kabir, et al.. (2025). DiaBD: A novel benchmark dataset for diabetes prediction. Alexandria Engineering Journal. 132. 435–455. 1 indexed citations
3.
4.
Mondal, Shovan, et al.. (2025). Molecular dynamics simulations and reverse docking approaches for identification of novel drug candidates against Aeromonas hydrophila. Chinese Journal of Analytical Chemistry. 53(12). 100616–100616.
5.
Mondal, Md. Fuad, et al.. (2025). Development and performance evaluation of ultrasound assisted microwave paddy dryer. Applied Food Research. 5(1). 100862–100862. 2 indexed citations
6.
Khan, MMH, et al.. (2025). The heat shock matters with specific attention to the expression of Hsp60 under thermal stress in fish: A critical review. Ecological Genetics and Genomics. 35. 100337–100337. 2 indexed citations
7.
Raihan, M., Sami Azam, Laboni Akter, et al.. (2024). Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh. Data Intelligence. 6(3). 834–868. 1 indexed citations
8.
Raihan, M., et al.. (2024). Age, Gender and Side Distribution of Adhesive Capsulitis of Shoulder Among Diabetic Patients. 9(2). 73–76. 1 indexed citations
9.
10.
Raihan, M., et al.. (2024). Bridging Technology and Psychology: AI-Driven Analysis of Student’s Class Lecture Activity for Improved Learning Outcomes. IEEE Access. 12. 147320–147349. 4 indexed citations
11.
12.
Hassan, Md. Mehedi, et al.. (2023). Prospects and setbacks for migrating towards 5G wireless access in developing Bangladesh: A comparative study. The Journal of Engineering. 2023(10).
13.
14.
Hassan, Md. Mehedi, et al.. (2023). A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records. SHILAP Revista de lepidopterología. 3(2). 92–104. 27 indexed citations
15.
16.
Asaduzzaman, Sayed, et al.. (2021). Regulatory Gene Network Pathway among Brain Cancer and Associated Disease: a Computational Analysis. Biointerface Research in Applied Chemistry. 11(5). 12973–12984. 6 indexed citations
17.
Karim, Asif, et al.. (2021). Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques. Trepo - Institutional Repository of Tampere University. 1–5. 3 indexed citations
18.
Raihan, M., et al.. (2021). A Deep Learning Based Approach to Predict Lung Cancer from Histopathological Images. 1–4. 4 indexed citations
19.
Raihan, M., et al.. (2020). Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm. 1–4. 84 indexed citations
20.
Raihan, M., et al.. (2020). Diabetes Mellitus Prediction using Different Ensemble Machine Learning Approaches. 1–7. 8 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

Breakdown of academic impact, for papers by Juan Luís Vidal Mazón Breakdown of academic impact, for papers by Laboni Akter Breakdown of academic impact, for papers by Jingchi Jiang Breakdown of academic impact, for papers by Selim Buyrukoğlu Breakdown of academic impact, for papers by Sandeep Chaurasia Breakdown of academic impact, for papers by Youcef Brik Breakdown of academic impact, for papers by Ekin Ekıncı Breakdown of academic impact, for papers by Masoud Muhammed Hassan Breakdown of academic impact, for papers by Al Amin Biswas
Rankless by CCL
2026