Milon Biswas

1.3k total citations
45 papers, 539 citations indexed

About

Milon Biswas is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Milon Biswas has authored 45 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 14 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Milon Biswas's work include Blockchain Technology Applications and Security (11 papers), IoT and Edge/Fog Computing (8 papers) and COVID-19 diagnosis using AI (6 papers). Milon Biswas is often cited by papers focused on Blockchain Technology Applications and Security (11 papers), IoT and Edge/Fog Computing (8 papers) and COVID-19 diagnosis using AI (6 papers). Milon Biswas collaborates with scholars based in Bangladesh, United States and Australia. Milon Biswas's co-authors include Md. Julkar Nayeen Mahi, Shamim Ahmed, Loveleen Gaur, M. Shamim Kaiser, KC Santosh, Fayadh Alenezi, Md Whaiduzzaman, Alistair Barros, Mehdi Sookhak and Mufti Mahmud and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Milon Biswas

44 papers receiving 515 citations

Peers

Countries citing papers authored by Milon Biswas

Since Specialization

Citations

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

Fields of papers citing papers by Milon Biswas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milon Biswas

This figure shows the co-authorship network connecting the top 25 collaborators of Milon Biswas. A scholar is included among the top collaborators of Milon Biswas 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 Milon Biswas. Milon Biswas 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

#	Title	Journal	Authors	Indexed citations
1	Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things	Future Internet	Milon Biswas, Yifan Guo et al.	3
2	Survey of Artificial Intelligence Model Marketplace	Future Internet	Milon Biswas, Yifan Guo et al.	1
3	Explainable AI assisted heart disease diagnosis through effective feature engineering and stacked ensemble learning	Expert Systems with Applications	Milon Biswas, Hasan M. Jamil et al.	4
4	A Deep Learning Based Smartphone Application for Detecting Mango Diseases and Pesticide Suggestions	International Journal of Computing and Digital Systems	Md. Arafatur Rahman, Md. Motaher Hossain et al.	8
5	A Comprehensive Review on the Diabetic Retinopathy, Glaucoma and Strabismus Detection Techniques Based on Machine Learning and Deep Learning		Md Mustafa Kamal, Sharmin Sultana et al.	5
6	Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis	Information Sciences	Milon Biswas, Loveleen Gaur et al.	59
7	Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach	Frontiers in Genetics	Md. Ashraf Uddin, Milon Biswas et al.	17
8	An Intelligent and Multi-Functional Stick for Blind People Using IoT		Shamim Ahmed, Milon Biswas et al.	6
9	A Smartphone Based Application for Medical Assistance of Elderly Patients	International Journal of Research and Innovation in Applied Science	Milon Biswas, Md. Ashiqur Rahman et al.	2
10	A Survey on an Intelligent System for Persons with Visual Disabilities		Md. Rakibul Hassan, Md. Abu Sayeed et al.	12
11	A Framework for LED Signboard Recognition for the Autonomous Vehicle Management System		Shamim Ahmed, Milon Biswas et al.	2
12	ACCU3RATE: A mobile health application rating scale based on user reviews	PLoS ONE	Milon Biswas, Marzia Hoque Tania et al.	38
13	Organic Food Supply Chain Traceability using Blockchain Technology		Raju Ahamed, Jannatul Ferdaus et al.	5
14	Stock Market Prediction: A Survey and Evaluation		Milon Biswas, Shamim Ahmed et al.	6
15	BPS: Blockchain Based Decentralized Secure and Versatile Light Payment System	Asian Journal of Research in Computer Science	Saiful Islam, Milon Biswas et al.	15
16	User Perspective on Usages and Privacy of eHealth Systems in Bangladesh: A Dhaka based Survey		Biplob Ray, Milon Biswas et al.	11
17	Vehicle Registration and Information Management using Blockchain based Distributed Ledger from Bangladesh Perspective	2020 IEEE Region 10 Symposium (TENSYMP)	Shanto Roy, Milon Biswas et al.	22
18	A Hyper-ledger Fabric Framework as a Service for Improved Quality E-voting System	2020 IEEE Region 10 Symposium (TENSYMP)	Milon Biswas et al.	25
19	Performance evaluation of a portable PABX system through developing new bandwidth optimization technique		Md. Julkar Nayeen Mahi, Milon Biswas et al.	11
20	Comparison of sputum induction with broncho-alveolar lavage in the diagnosis of smear-negative pulmonary tuberculosis.	PubMed	Milon Biswas, Mohd Khair Hassan et al.	12

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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