Tanoy Debnath

1.1k total citations · 3 hit papers
12 papers, 561 citations indexed

About

Tanoy Debnath is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics. According to data from OpenAlex, Tanoy Debnath has authored 12 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Health Informatics. Recurrent topics in Tanoy Debnath's work include Artificial Intelligence in Healthcare and Education (3 papers), Hand Gesture Recognition Systems (3 papers) and Artificial Intelligence in Healthcare (2 papers). Tanoy Debnath is often cited by papers focused on Artificial Intelligence in Healthcare and Education (3 papers), Hand Gesture Recognition Systems (3 papers) and Artificial Intelligence in Healthcare (2 papers). Tanoy Debnath collaborates with scholars based in Bangladesh, United States and Taiwan. Tanoy Debnath's co-authors include Anichur Rahman, Shahab S. Band, Md. Saikat Islam Khan, Dipanjali Kundu, Mostofa Kamal Nasir, Amir Mosavi, Md. Razaul Karim, Abdollah Dehzangi, Ghulam Muhammad and Md. Sazzad Hossain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Future Generation Computer Systems.

In The Last Decade

Tanoy Debnath

9 papers receiving 525 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate brain tumor detection using deep convolutional neural network

2022 181 citations Md. Saikat Islam Khan, Anichur Rahman et al. Computational and Structural Biotechnology Journal profile →
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

2022 172 citations Anichur Rahman, Md. Sazzad Hossain et al. Cluster Computing profile →
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

2024 65 citations Anichur Rahman, Tanoy Debnath et al. AIMS Public Health profile →

Peers

Countries citing papers authored by Tanoy Debnath

Since Specialization

Citations

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

Fields of papers citing papers by Tanoy Debnath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanoy Debnath

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	PriFL-XAI: Hybrid privacy-preserving federated learning models for monkeypox detection through GAN augmentation and explainable AI 2025 ·Biomedical Signal Processing and Control ·(unknown), (unknown), (unknown), (unknown), Anichur Rahman, Dipanjali Kundu, Tanoy Debnath, Ghulam Muhammad	1
2	From AI to the Era of Explainable AI in Healthcare 5.0: Current State and Future Outlook 2025 ·Expert Systems ·Anichur Rahman, Dipanjali Kundu, Tanoy Debnath, Muaz Rahman, (unknown), Abu Saleh Musa Miah, Ghulam Muhammad	2
3	A computer graphics-based model to generate dynamic 3D animations for corresponding Bangla sign language gestures using HamNoSys to SiGML conversion 2025 ·Artificial Intelligence Review ·(unknown), Muhammad Aminur Rahaman, Md. Ariful Islam, Anichur Rahman, Tanoy Debnath, (unknown)	0
4	Computer Vision-based Advanced Hybrid Convolutional Neural Network to Recognize Sign Language for both Numeral and Alphabet Signs 2025 ·Signal Image and Video Processing ·(unknown), (unknown), Muhammad Aminur Rahaman, Tanoy Debnath, (unknown), Anichur Rahman	0
5	Stacked Ensemble Method: An Advanced Machine Learning Approach for Anomaly-based Intrusion Detection System 2025 ·Statistics Optimization & Information Computing ·Anichur Rahman, Md. Saikat Islam Khan, (unknown), (unknown), (unknown), (unknown), Tanoy Debnath, Dipanjali Kundu, (unknown), (unknown), Muaz Rahman	0
6	Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities breakdown → 2024 ·AIMS Public Health ·Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, Md. Saikat Islam Khan, (unknown), (unknown), (unknown), Shahab S. Band	65
7	Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction 2024 ·Biomedical Signal Processing and Control ·(unknown), MA Bari, Tanoy Debnath, Anichur Rahman, Avik Kumar Das, (unknown), Ghulam Muhammad	6
8	Computer vision-based six layered ConvNeural network to recognize sign language for both numeral and alphabet signs 2023 ·SHILAP Revista de lepidopterología ·Muhammad Aminur Rahaman, (unknown), (unknown), Tanoy Debnath, Anichur Rahman, Md. Saikat Islam Khan	13
9	Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity 2022 ·Scientific Reports ·Tanoy Debnath, Md. Mahfuz Reza, Anichur Rahman, Amin Beheshti, Shahab S. Band, Hamid Alinejad‐Rokny	50
10	Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues breakdown → 2022 ·Cluster Computing ·Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, Dipanjali Kundu, Tanoy Debnath, Muaz Rahman, Md. Saikat Islam Khan, Prayag Tiwari, Shahab S. Band	172
11	Accurate brain tumor detection using deep convolutional neural network breakdown → 2022 ·Computational and Structural Biotechnology Journal ·Md. Saikat Islam Khan, Anichur Rahman, Tanoy Debnath, Md. Razaul Karim, Mostofa Kamal Nasir, Shahab S. Band, Amir Mosavi, Abdollah Dehzangi	181
12	On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives 2022 ·Future Generation Computer Systems ·Anichur Rahman, Kamrul Hasan, Dipanjali Kundu, Md. Jahidul Islam, Tanoy Debnath, Shahab S. Band, Neeraj Kumar	71

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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