V. Vinoth Kumar

2.2k citations

75 papers · 1.1k indexed · 1 hit paper · h-index 21

Impact in

Health Information Management top 1%
- Artificial Intelligence in Healthcare
Health Informatics top 5%

Papers in ⓘ

Artificial Intelligence 32
- AI in cancer detection 11
- Privacy-Preserving Technologies in Data 5
- Imbalanced Data Classification Techniques 5
Computer Networks and Communications 17
- IoT and Edge/Fog Computing 4

Co-authors: T R Mahesh (42 shared papers)V. Muthukumaran (8 shared papers)V. Dhilip Kumar (5 shared papers)Syed Thouheed Ahmed (5 shared papers)Oana Geman (3 shared papers)M. Mohamed Musthafa (2 shared papers)Junaid Asghar (2 shared papers)S. R. Sannasi Chakravarthy (5 shared papers)
Journals: IEEE Access (11 papers)IEEE Transactions on Consumer Electronics (3 papers)International Journal of Computational Intelligence Systems (3 papers)Scientific Reports (2 papers)Computational Intelligence and Neuroscience (2 papers)
Partner nations: India Ethiopia Saudi Arabia

In The Last Decade

V. Vinoth Kumar

70 papers receiving 1.1k citations

Hit Papers

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Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50 2024 · 53 citations

Peers

Countries citing papers authored by V. Vinoth Kumar

Since Specialization

Citations

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

Fields of papers citing papers by V. Vinoth Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Vinoth Kumar. 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 V. Vinoth Kumar. The network helps show where V. Vinoth Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside V. Vinoth Kumar, 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 V. Vinoth Kumar Line = papers co-authored together V. Vinoth Kumar links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease Computational Intelligence and Neuroscience ·T R Mahesh, V. Dhilip Kumar, V. Vinoth Kumar, Junaid Asghar, Oana Geman, G. Arulkumaran, Nongyao Nai arun	2022	64
2	Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50 BMC Medical Imaging ·M. Mohamed Musthafa, T R Mahesh, V. Vinoth Kumar, Suresh Guluwadi Hit paper breakdown →	2024	53
3	The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification SHILAP Revista de lepidopterología ·T R Mahesh, V. Vinoth Kumar, V. Dhilip Kumar, Oana Geman, Martin Margala, Manisha Guduri	2023	51
4	Performance Analysis of XGBoost Ensemble Methods for Survivability with the Classification of Breast Cancer Journal of Sensors ·T R Mahesh, V. Vinoth Kumar, V. Muthukumaran, H K Shashikala, B. Swapna, Suresh Guluwadi	2022	50
5	Early predictive model for breast cancer classification using blended ensemble learning International Journal of Systems Assurance Engineering and Management ·T R Mahesh, V. Vinoth Kumar, V Vivek, K. M. Karthick Raghunath, Sindhu Madhuri G	2022	49
6	Smart Decision-Making and Communication Strategy in Industrial Internet of Things IEEE Access ·Kesavan Gunasekaran, V. Vinoth Kumar, A. C. Kaladevi, T R Mahesh, C. Rohith Bhat, Krishnamoorthy Venkatesan	2023	44
7	AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource Recommendation Framework for IoT Devices in Smart Cities IEEE Internet of Things Journal ·Syed Thouheed Ahmed, V. Vinoth Kumar, Jungyoon Kim	2023	43
8	Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease Computational Intelligence and Neuroscience ·T R Mahesh, V. Dhilip Kumar, V. Vinoth Kumar, Junaid Asghar, Mekecha Banchigize Bazezew, Rajesh Natarajan, V Vivek	2022	40
9	6G enabled federated learning for secure IoMT resource recommendation and propagation analysis Computers & Electrical Engineering ·Syed Thouheed Ahmed, V. Vinoth Kumar, Krishna Kant Singh, Akansha Singh, V Muthukumaran, Deepa Gupta	2022	38
10	Heart Disease Prediction System Using Artificial Neural Network, Radial Basis Function and Case Based Reasoning Journal of Computational and Theoretical Nanoscience ·R. Ruhin Kouser, T. Manikandan, V. Vinoth Kumar	2018	34
11	Low power area efficient adaptive FIR filter for hearing aids using distributed arithmetic architecture International Journal of Speech Technology ·P. V. Praveen Sundar, D. Ranjith, T. Karthikeyan, V. Vinoth Kumar, Balajee Jeyakumar	2020	32
12	Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique IEEE Access ·N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, V. Vinoth Kumar, T R Mahesh, Suresh Guluwadi	2023	30
13	Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor BMC Medical Imaging ·Eid Albalawi, T R Mahesh, Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia, Ahlam Almusharraf	2024	28
14	Cervical Cancer Diagnosis Using Intelligent Living Behavior of Artificial Jellyfish Optimized With Artificial Neural Network IEEE Access ·Devikanniga Devarajan, D. Stalin Alex, T R Mahesh, V. Vinoth Kumar, Rajanikanth Aluvalu, V. Uma Maheswari, Shitharth Selvarajan	2022	25
15	Paddy Plant Disease Recognition, Risk Analysis, and Classification Using Deep Convolution Neuro-Fuzzy Network Journal of Mobile Multimedia ·V. Vinoth Kumar, K. M. Karthick Raghunath, Rajesh Natarajan, V. Muthukumaran, Rose Bindu Joseph, N. Thillaiarasu	2021	24
16	XGBoost Regression Classifier (XRC) Model for Cyber Attack Detection and Classification Using Inception V4 Journal of Web Engineering ·K. M. Karthick Raghunath, V. Vinoth Kumar, V. Muthukumaran, Krishna Kant Singh, T R Mahesh, Akansha Singh	2022	24
17	Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization International Journal of Computational Intelligence Systems ·S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T R Mahesh, R. Sivakami, Jonnakuti Rajkumar Annand	2024	23
18	AZD1208, a Pan-Pim Kinase Inhibitor, Has Anti-Growth Effect on 93T449 Human Liposarcoma Cells via Control of the Expression and Phosphorylation of Pim-3, mTOR, 4EBP-1, S6, STAT-3 and AMPK International Journal of Molecular Sciences ·Anil Yadav, V. Vinoth Kumar, David Bishop‐Bailey, Byeong‐Churl Jang	2019	21
19	Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification BMC Medical Imaging ·M. Mohamed Musthafa, T R Mahesh, V. Vinoth Kumar, Suresh Guluwadi	2024	20
20	Utilization of IoT-assisted computational strategies in wireless sensor networks for smart infrastructure management International Journal of Systems Assurance Engineering and Management ·K. M. Karthick Raghunath, Manjula Sanjay Koti, R. Sivakami, V. Vinoth Kumar, Grande Naga Jyothi, V. Muthukumaran	2022	20

About V. Vinoth Kumar

V. Vinoth Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Health Information Management, Information Systems and Neurology, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Artificial Intelligence in Healthcare (10 papers), Brain Tumor Detection and Classification (10 papers), Recommender Systems and Techniques (6 papers), Privacy-Preserving Technologies in Data (5 papers), Imbalanced Data Classification Techniques (5 papers), IoT and Edge/Fog Computing (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Information Management (119 citations), Health Informatics (29 citations), Neurology (136 citations), Artificial Intelligence (435 citations) and Radiology, Nuclear Medicine and Imaging (194 citations). V. Vinoth Kumar has collaborated with scholars based in India, Ethiopia and Saudi Arabia. Frequent co-authors include T R Mahesh, V. Muthukumaran, V. Dhilip Kumar, Syed Thouheed Ahmed, Oana Geman, M. Mohamed Musthafa, Junaid Asghar, S. R. Sannasi Chakravarthy, N. Bharanidharan and Suresh Guluwadi. Their work appears in journals such as IEEE Access, IEEE Transactions on Consumer Electronics, International Journal of Computational Intelligence Systems, Scientific Reports and Computational Intelligence and Neuroscience.

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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