Chandran Venkatesan

1.3k citations

15 papers · 951 · 2 hit papers · h-index 10

Impact in

Neurology top 5%
- Brain Tumor Detection and Classification
Health Information Management top 2%
- Artificial Intelligence in Healthcare

Papers in

Neurology 3
- Brain Tumor Detection and Classification 3
Computer Vision and Pattern Recognition 4
- Digital Imaging for Blood Diseases 2
- Image Retrieval and Classification Techniques 1

Co-authors: M. G. Sumithra (9 shared papers)Alagar Karthick (2 shared papers)Manoharan Subramanian (3 shared papers)Suriya Murugan (3 shared papers)Robbi Rahim (1 shared paper)Aritra Ghosh (1 shared paper)Chandrashekhar K. Patil (1 shared paper)Xiao‐Zhi Gao (1 shared paper)
Journals: IEEE Access (1 paper)Neural Processing Letters (1 paper)Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (1 paper)BioMed Research International (1 paper)Computational and Mathematical Methods in Medicine (2 papers)
Partner nations: India Ethiopia Saudi Arabia

In The Last Decade

Chandran Venkatesan

14 papers receiving 900 citations

Chandran Venkatesan's Hit Papers

align trajectories log scale

DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images 2021 · 275 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2021 IEEE Access
2021 World Electric Vehicle Journal

Peers

Countries citing papers authored by Chandran Venkatesan

Since Specialization

Citations

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

Fields of papers citing papers by Chandran Venkatesan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Chandran Venkatesan, 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 Chandran Venkatesan Line = papers co-authored together Chandran Venkatesan links everyone, so they are left out of the graph.

All Works

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15 of 15 papers shown

#	Work
1	DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images IEEE Access ·Suriya Murugan, Chandran Venkatesan, M. G. Sumithra, Xiao‐Zhi Gao, B. Elakkiya, Muthuramalingam Akila, Manoharan Subramanian Hit paper breakdown →	2021	275
2	State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithms World Electric Vehicle Journal ·Chandran Venkatesan, Chandrashekhar K. Patil, Alagar Karthick, Ganeshaperumal Dharmaraj, Robbi Rahim, Aritra Ghosh Hit paper breakdown →	2021	255
3	Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images BioMed Research International ·Chandran Venkatesan, M. G. Sumithra, Alagar Karthick, Tony George, M. Deivakani, B. Elakkiya, Umashankar Subramaniam, Manoharan Subramanian	2021	157
4	Analysis of DNA Sequence Classification Using CNN and Hybrid Models Computational and Mathematical Methods in Medicine ·Hemalatha Gunasekaran, Krishnamoorthi Ramalakshmi, A. Rex Macedo Arokiaraj, Chandran Venkatesan, C. Suresh Gnana Dhas +1 other	2021	103
5	Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model Computational and Mathematical Methods in Medicine ·Yogapriya Jaganathan, Chandran Venkatesan, M. G. Sumithra, P. Anitha, P. Jenopaul, C. Suresh Gnana Dhas	2021	73
6	Automated Detection of Infection in Diabetic Foot Ulcer Images Using Convolutional Neural Network Journal of Healthcare Engineering ·Yogapriya Jaganathan, Chandran Venkatesan, M. G. Sumithra, B. Elakkiya, A. Shamila Ebenezer, C. Suresh Gnana Dhas	2022	29
7	Design of a 16-Bit Harvard Structure RISC Processor in Cadence 45nm Technology Chandran Venkatesan, M. Thabsera Sulthana, M. G. Sumithra, Suriya Murugan	2019	13
8	Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization International Journal of Biomedical Imaging ·Manoharan Subramanian, Velmurugan Lingamuthu, Chandran Venkatesan, Sasikumar Perumal	2022	11
9	Analysis of 1- bit full adder using different techniques in Cadence 45nm Technology Chandran Venkatesan, Sulthana M. Thabsera, M. G. Sumithra, Suriya Murugan	2019	11
10	NFU-Net: An Automated Framework for the Detection of Neurotrophic Foot Ulcer Using Deep Convolutional Neural Network Neural Processing Letters ·Chandran Venkatesan, M. G. Sumithra, M. Murugappan	2022	11
11	Fusion-Based Segmentation Technique for Improving the Diagnosis of MRI Brain Tumor in CAD Applications Lecture notes in computational vision and biomechanics ·Bharathi Deepa, Manimegalai Govindan Sumithra, Chandran Venkatesan, V Gnanaprakash	2019	5
12	Optimization of processing parameters of cold metal transfer joined 316L and weld bead profile influenced by temperature distribution based on genetic algorithm Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ·Dhivyasri Gopal, Manikandan Murugesan, Chandran Venkatesan, Sumithra Manimegalai Govindan, Ravishankar Sathyamurthy +1 other	2022	4
13	SwinDFU-Net: Deep learning transformer network for infection identification in diabetic foot ulcer Technology and Health Care ·Sumithra M.G, Chandran Venkatesan	2024	3
14	Realization of Full Parallelism Triple AES Algorithm for Data Encryption 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) ·Anto Merline Manoharan, M. G. Sumithra, B Nagarajan, Chandran Venkatesan, Shrihariprasath Basuvaiyan	2021	1
15	CDR-CNN: Convolutional Neural Networks for Alzheimer’s Disease Severity Prediction with Clinical Dementia Rating Chandran Venkatesan, M. G. Sumithra, Elakkiya Balan +1 other	2024	0

About Chandran Venkatesan

Chandran Venkatesan is a scholar working on Neurology, Computer Vision and Pattern Recognition, Endocrinology, Diabetes and Metabolism, Media Technology and Artificial Intelligence, having authored 15 papers that have together received 951 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (3 papers), Brain Tumor Detection and Classification (3 papers), Digital Imaging for Blood Diseases (2 papers), Low-power high-performance VLSI design (2 papers), AI in cancer detection (2 papers), Machine Learning in Healthcare (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Neurology (216 citations), Health Information Management (90 citations), Automotive Engineering (206 citations), Health Informatics (16 citations) and Gastroenterology (39 citations). Chandran Venkatesan has collaborated with scholars based in India, Ethiopia and Saudi Arabia. Frequent co-authors include M. G. Sumithra, Alagar Karthick, Manoharan Subramanian, Suriya Murugan, Robbi Rahim, Aritra Ghosh, Chandrashekhar K. Patil, Xiao‐Zhi Gao, Muthuramalingam Akila and C. Suresh Gnana Dhas. Their work appears in journals such as IEEE Access, Neural Processing Letters, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, BioMed Research International and Computational and Mathematical Methods in Medicine.

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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In The Last Decade

Chandran Venkatesan

Chandran Venkatesan's Hit Papers

Peers

Countries citing papers authored by Chandran Venkatesan

Fields of papers citing papers by Chandran Venkatesan

All Works

About Chandran Venkatesan

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