Sushovan Chaudhury

758 total citations
14 papers, 198 citations indexed

About

Sushovan Chaudhury is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Sushovan Chaudhury has authored 14 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Information Systems. Recurrent topics in Sushovan Chaudhury's work include AI in cancer detection (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Sushovan Chaudhury is often cited by papers focused on AI in cancer detection (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Sushovan Chaudhury collaborates with scholars based in India, Australia and Philippines. Sushovan Chaudhury's co-authors include Nilesh Shelke, Sunil L. Bangare, Pratibha Pandey, S Raghavendra, Achyutha Prasad N, Souvik Ganguli, Isaac Ofori, Karthikeyan Kaliyaperumal, Mohammad Shabaz and K. Sakthidasan Sankaran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematical Problems in Engineering and Mathematical Biosciences & Engineering.

In The Last Decade

Sushovan Chaudhury

13 papers receiving 181 citations

Peers

Countries citing papers authored by Sushovan Chaudhury

Since Specialization

Citations

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

Fields of papers citing papers by Sushovan Chaudhury

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushovan Chaudhury

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Transforming Breast Cancer İmage Classification With Vision Transformers and LSTM İntegration 2024 ·Sushovan Chaudhury, (unknown), Nilesh Shelke	0
2	Classification of Breast Masses Using Ultrasound Images by Approaching GAN, Transfer Learning and Deep Learning Techniques 2023 ·Sushovan Chaudhury, (unknown)	5
3	A blockchain-enabled internet of medical things system for breast cancer detection in healthcare 2023 ·SHILAP Revista de lepidopterología ·Sushovan Chaudhury, (unknown)	22
4	Enhancing Personalization of Customer Services in E-Commerce System using Predictive Analytics 2023 ·Fluctuation and Noise Letters ·Deepshikha Bhargava, (unknown), (unknown), (unknown), Sushovan Chaudhury	2
5	Deep transfer learning for IDC breast cancer detection using fast AI technique and Sqeezenet architecture 2023 ·Mathematical Biosciences & Engineering ·Sushovan Chaudhury, (unknown), Muhammad Attique Khan, Mohammad Shabaz	11
6	Faster R-CNN Algorithm for Detection of Plastic Garbage in the Ocean: A Case for Turtle Preservation 2022 ·Mathematical Problems in Engineering ·(unknown), Sushovan Chaudhury, K. Sakthidasan Sankaran, S Raghavendra, (unknown), (unknown), (unknown)	18
7	Deep Learning Based Dual Channel Banana Grading System Using Convolution Neural Network 2022 ·Journal of Food Quality ·S Raghavendra, Souvik Ganguli, (unknown), (unknown), Sushovan Chaudhury, (unknown), Isaac Ofori	25
8	User Classification and Stock Market-Based Recommendation Engine Based on Machine Learning and Twitter Analysis 2022 ·Mathematical Problems in Engineering ·Achyutha Prasad N, Sushovan Chaudhury, (unknown), (unknown), (unknown), Karthikeyan Kaliyaperumal	23
9	The Sentiment Analysis of Human Behavior on Products and Organizations using K-Means Clustering and SVM Classifier 2022 ·Sushovan Chaudhury, Achyutha Prasad N, (unknown), (unknown), (unknown)	9
10	An efficient way of text-based emotion analysis from social media using LRA-DNN 2022 ·SHILAP Revista de lepidopterología ·Nilesh Shelke, Sushovan Chaudhury, (unknown), Sunil L. Bangare, (unknown), Pratibha Pandey	67
11	Data Mining Analysis of Online Drug Reviews 2022 ·Samuel-Soma M. Ajibade, Abdelhamid Zaïdi, (unknown), (unknown), Muhammad Ayaz, (unknown), Yakubu Aminu Dodo, Sushovan Chaudhury, (unknown)	6
12	Feature Selection for Metaheuristics Optimization Technique with Chaos 2022 ·Samuel-Soma M. Ajibade, Sushovan Chaudhury, Oluwadare Joshua Oyebode, (unknown), Fazle Rabbi	7
13	Effect of Grid Search and Hyper Parameter Tuned Pipeline with VariousClassifiers and PCA for Breast Cancer Detection 2022 ·Current Signal Transduction Therapy ·Sushovan Chaudhury, (unknown), Nilesh Shelke, (unknown)	2
14	A SYSTEMATIC REVIEW OF CAD SYSTEM BASED APPROACH IN DIAGNOSING BREAST CANCER AND ANALYZE EFFECTIVENESS OF MACHINE LEARNING AND DEEP LEARNING ALGORITHMS IN EARLY DETECTION 2021 ·International Journal of Biology Pharmacy and Allied Sciences ·Sushovan Chaudhury, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	1

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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