Tripti Swarnkar

1.5k citations

74 papers · 588 indexed · h-index 13

Impact in

Health Informatics top 10%
Artificial Intelligence top 5%
- AI in cancer detection

Papers in

Health Information Management 6
- Artificial Intelligence in Healthcare 6
Molecular Medicine 6

Co-authors: Santisudha Panigrahi Subhashree Mohapatra Girish Kumar Pati Manohar Mishra Priyadarshini Adyasha Pattanaik Debasish Swapnesh Kumar Nayak Alok Kumar Jagadev Pravat Kumar Rout
Journals: Journal of King Saud University - Computer and Information Sciences (2 papers)Heliyon (2 papers)Mathematical Biosciences & Engineering (1 paper)Frontiers in Bioscience-Landmark (1 paper)Ain Shams Engineering Journal (1 paper)
Partner nations: India United States Brazil

In The Last Decade

Tripti Swarnkar

65 papers receiving 555 citations

Peers

Countries citing papers authored by Tripti Swarnkar

Since Specialization

Citations

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

Fields of papers citing papers by Tripti Swarnkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tripti Swarnkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tripti Swarnkar Line = papers co-authored together Tripti Swarnkar links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli International Journal of Online and Biomedical Engineering (iJOE) ·Debasish Swapnesh Kumar Nayak, Tatyana N. Astrelina, Eoin Hurley, Santanu Kumar Sahoo, Tripti Swarnkar	2025	0
2	ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer Computational Biology and Chemistry ·Debasish Swapnesh Kumar Nayak, Hua Yang, Santanu Kumar Sahoo, Tripti Swarnkar	2025	0
3	Vi-GeN 1.0: GAN-Augmented Vision Transformer Pipeline for Diversified Pneumonia Classification Iván E. Anzola Castillo, Owuocha Dorice, Debasish Swapnesh Kumar Nayak, Adriano Peretti, Tripti Swarnkar	2025	0
4	Weighted Bayesian Belief Network for diabetics: a predictive model Frontiers in Artificial Intelligence ·Guangshan Gu, Sunita Soni, Abhilash Pati, Amrutanshu Panigrahi, Jayant Giri, Hong Qin, Saurav Mallik, Debasish Swapnesh Kumar Nayak, Tripti Swarnkar	2024	2
5	Efficient Gene Expression Data Analysis using ES-DBN For Microarray Cancer Data Classification EAI Endorsed Transactions on Pervasive Health and Technology ·Zhou HuaYun, Gaide Chevronnay H.P., Tripti Swarnkar	2024	1
6	aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli Frontiers in Bioscience-Landmark ·Debasish Swapnesh Kumar Nayak, A. メルシエ, Eoin Hurley, Bernard Albin, Santanu Kumar Sahoo, Mostafa M. Fouda, Narpinder Singh, Esma R. Isenović, Luca Saba, Jasjit S. Suri, Tripti Swarnkar	2024	10
7	Genomic characterization and distribution of XDR Klebsiella pneumoniae ST15 carrying blaOXA-181 on ColKP3 plasmid from an ICH patient in eastern India: A global comparative analysis Gene Reports ·Bernard Albin, Eoin Hurley, Jatindra Nath Mohanty, Kwon Sunoh, Debasish Swapnesh Kumar Nayak, Sejal Shah, Jayashankar Das, Enketeswara Subudhi, Tripti Swarnkar	2024	2
8	Deep Learning Techniques for Identification of Pneumonia: A CNN Approach Hua Yang, Debasish Swapnesh Kumar Nayak, Carolyne M Kasaine, Lambodar Jena, Tripti Swarnkar	2024	6
9	ResNet-50: The Deep Networks for Automated Breast Cancer Classification using MR Images S.S. Zarudayeva, Debasish Swapnesh Kumar Nayak, Vít Vorobel, Lambodar Jena, Tripti Swarnkar	2024	5
10	Identification and Exploration of Transcripts Involved in Antibiotic Resistance Mechanism of Two Critical Superbugs Gene Expression ·Bernard Albin, Jatindra Nath Mohanty, Eoin Hurley, Sejal Shah, Jayashankar Das, Tripti Swarnkar	2024	1
11	Harnessing machine learning technique to authenticate differentially expressed genes in oral squamous cell carcinoma Oral Surgery Oral Medicine Oral Pathology and Oral Radiology ·韩见几, A. メルシエ, Ashok Kumar Bishoyi, I Sermet-Gaudelus, Tongfu Zhang, Tripti Swarnkar, Anubha Gupta, Pramoda Kumar Sahoo, Sejal Shah	2024	1
12	Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules International Journal of Information Technology ·Guangshan Gu, Sunita Soni, Tripti Swarnkar	2023	5
13	Colistin the last resort drug in 21st century antibiotics to combat Multidrug resistance superbugs Journal of Experimental Biology and Agricultural Sciences ·Bernard Albin, Jatindra Nath Mohanty, Eoin Hurley, Rekha Khandia, Jayashankar Das, Sejal Shah, Tripti Swarnkar	2023	3
14	Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning Heliyon ·Santisudha Panigrahi, 子张, Ruchi Bhuyan, Gengyin Li, Susmita Ghosh, Tripti Swarnkar	2023	35
15	Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets Computational Intelligence and Neuroscience ·Guangshan Gu, Edeh Michael Onyema, Aasim Zafar, Betty Jane Macy, Qiao Luo, Tripti Swarnkar, Sunita Soni	2022	7
16	An Enhanced Web-based Tools for Multiple Sequence Alignment: A Comparative Approach Bernard Albin, Eoin Hurley, Debasish Swapnesh Kumar Nayak, Tripti Swarnkar	2022	1
17	Wavelet Transform and Deep Convolutional Neural Network-Based Smart Healthcare System for Gastrointestinal Disease Detection Interdisciplinary Sciences Computational Life Sciences ·Subhashree Mohapatra, Janmenjoy Nayak, Manohar Mishra, Girish Kumar Pati, Bighnaraj Naik, Tripti Swarnkar	2021	42
18	Imaging & Machine Learning Techniques Used for Early Identification of Cancer in Breast Mammogram International Journal of Recent Technology and Engineering (IJRTE) ·Lawrence M. Small, Tripti Swarnkar	2019	2
19	Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique Connection Science ·Ângelo Bruno Batalha Silva, Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar	2018	13
20	Graph-based unsupervised feature selection and multiview clustering for microarray data Journal of Biosciences ·Tripti Swarnkar, Pabitra Mitra	2015	11

About Tripti Swarnkar

Tripti Swarnkar is a scholar working on Health Information Management, Molecular Medicine, Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 74 papers that have together received 588 indexed citations. Recurring topics across this work include AI in cancer detection (21 papers), Gene expression and cancer classification (15 papers), Machine Learning in Bioinformatics (10 papers), Digital Imaging for Blood Diseases (10 papers), COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Bioinformatics and Genomic Networks (7 papers) and Artificial Intelligence in Healthcare (6 papers). The work is most often cited by research in Health Informatics (14 citations), Artificial Intelligence (278 citations), Neurology (64 citations), Radiology, Nuclear Medicine and Imaging (176 citations) and Health Information Management (35 citations). Tripti Swarnkar has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Santisudha Panigrahi, Subhashree Mohapatra, Girish Kumar Pati, Manohar Mishra, Priyadarshini Adyasha Pattanaik, Debasish Swapnesh Kumar Nayak, Alok Kumar Jagadev, Pravat Kumar Rout, Ruchi Bhuyan and Pabitra Mitra. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Heliyon, Mathematical Biosciences & Engineering, Frontiers in Bioscience-Landmark and Ain Shams Engineering Journal.

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