Chandran Venkatesan

1.5k citations

21 papers · 964 indexed · 2 hit papers · h-index 11

Artificial Intelligence top 5%
Electrical and Electronic Engineering
Neurology top 5%
Automotive Engineering top 5%
Radiology, Nuclear Medicine and Imaging top 10%

Co-authors: M. G. Sumithra Alagar Karthick S. Manoharan Robbi Rahim Aritra Ghosh Chandrashekhar K. Patil Suriya Murugan Xiao‐Zhi Gao
Topics: Diabetic Foot Ulcer Assessment and Management (3 papers)Digital Imaging for Blood Diseases (3 papers)AI in cancer detection (3 papers)
Cited by: Neurology Health Information Management Automotive Engineering
Journals: IEEE Access BioMed Research International Materials Today Proceedings
Partner nations: India Ethiopia United Kingdom

In The Last Decade

Chandran Venkatesan

19 papers receiving 904 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithms

2021 232 citations Chandran Venkatesan, Chandrashekhar K. Patil et al. World Electric Vehicle Journal profile →
DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images

2021 205 citations Suriya Murugan, Chandran Venkatesan et al. IEEE Access profile →

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-authorship network of co-authors of Chandran Venkatesan

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

#	Work	Indexed citations
1	SwinDFU-Net: Deep learning transformer network for infection identification in diabetic foot ulcer 2024 ·Technology and Health Care ·(unknown),Chandran Venkatesan	0
2	Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization 2022 ·International Journal of Biomedical Imaging ·(unknown),(unknown),Chandran Venkatesan,(unknown)	6
3	Automated Detection of Infection in Diabetic Foot Ulcer Images Using Convolutional Neural Network 2022 ·Journal of Healthcare Engineering ·(unknown),Chandran Venkatesan,M. G. Sumithra,(unknown),(unknown),(unknown)	24
4	Optimization of processing parameters of cold metal transfer joined 316L and weld bead profile influenced by temperature distribution based on genetic algorithm 2022 ·Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ·(unknown),R. Sudha,(unknown),Chandran Venkatesan,(unknown),Ravishankar Sathyamurthy	4
5	State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithmsbreakdown → 2021 ·World Electric Vehicle Journal ·Chandran Venkatesan,Chandrashekhar K. Patil,Alagar Karthick,(unknown),Robbi Rahim,Aritra Ghosh	232
6	Comprehensive review on recycling of spent lithium-ion batteries 2021 ·Materials Today Proceedings ·Chandran Venkatesan,Aritra Ghosh,Chandrashekhar K. Patil,V. Mohanavel,A.K. Priya,Robbi Rahim,R. Madavan,(unknown),Alagar Karthick	32
7	DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Imagesbreakdown → 2021 ·IEEE Access ·Suriya Murugan,Chandran Venkatesan,M. G. Sumithra,Xiao‐Zhi Gao,(unknown),M. Akila,S. Manoharan	205
8	Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images 2021 ·BioMed Research International ·Chandran Venkatesan,M. G. Sumithra,Alagar Karthick,(unknown),M. Deivakani,(unknown),Umashankar Subramaniam,S. Manoharan	143
9	Analysis of DNA Sequence Classification Using CNN and Hybrid Models 2021 ·Computational and Mathematical Methods in Medicine ·(unknown),K. Ramalakshmi,(unknown),(unknown),Chandran Venkatesan,(unknown)	79
10	Wind power forecasting based on time series model using deep machine learning algorithms 2021 ·Materials Today Proceedings ·Chandran Venkatesan,Chandrashekhar K. Patil,(unknown),Aritra Ghosh,M. G. Sumithra,Alagar Karthick,Robbi Rahim,K.S. Arun	35
11	Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model 2021 ·Computational and Mathematical Methods in Medicine ·(unknown),Chandran Venkatesan,M. G. Sumithra,(unknown),(unknown),(unknown)	62
12	Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms 2021 ·International Journal of Photoenergy ·R. Kabilan,Chandran Venkatesan,(unknown),Alagar Karthick,(unknown),V. Mohanavel,Robbi Rahim,S. Manoharan	68
13	Identification of Civil Infrastructure Damage Using Ensemble Transfer Learning Model 2021 ·Advances in Civil Engineering ·(unknown),(unknown),(unknown),K. Ramalakshmi,Chandran Venkatesan,M. G. Sumithra,(unknown),Bharani Murugesan	4
14	Luminous power improvement in InGaN V-Shaped Quantum Well LED using CSG on SiC Substrate 2020 ·IOP Conference Series Materials Science and Engineering ·M. Manikandan,D. Nirmal,P. Prajoon,(unknown),Chandran Venkatesan	5
15	High performance area measurement system for leather industries 2020 ·Materials Today Proceedings ·(unknown),(unknown),M. G. Sumithra,(unknown),(unknown),Chandran Venkatesan	0
16	Enhanced deep convolutional neural network for malarial parasite classification 2019 ·International Journal of Computers and Applications ·(unknown),Chandran Venkatesan,M. G. Sumithra	31
17	Disease Detection in Plant Leaves using K-Means Clustering and Neural Network 2019 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown),Chandran Venkatesan	1
18	Analysis of 1- bit full adder using different techniques in Cadence 45nm Technology 2019 ·Chandran Venkatesan,(unknown),M. G. Sumithra,(unknown)	8
19	Design of a 16-Bit Harvard Structure RISC Processor in Cadence 45nm Technology 2019 ·Chandran Venkatesan,(unknown),M. G. Sumithra,(unknown)	11
20	Bitstream Compression for High Speed Embedded Systems Using Separated Split Look Up Tables (LUTs) 2018 ·Journal of Computational and Theoretical Nanoscience ·(unknown),Chandran Venkatesan,(unknown),Rajesh Kumar Dhanaraj	6

About Chandran Venkatesan

Chandran Venkatesan is a scholar working on Occupational Therapy, Hardware and Architecture and Rehabilitation, having authored 21 papers that have together received 964 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (3 papers), Digital Imaging for Blood Diseases (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Neurology (194 citations), Health Information Management (77 citations) and Automotive Engineering (191 citations). Chandran Venkatesan has collaborated with scholars based in India, Ethiopia and United Kingdom. Frequent co-authors include M. G. Sumithra, Alagar Karthick, S. Manoharan, Robbi Rahim, Aritra Ghosh, Chandrashekhar K. Patil, Suriya Murugan, Xiao‐Zhi Gao, M. Akila and Umashankar Subramaniam. Their work appears in journals such as IEEE Access, BioMed Research International and Materials Today Proceedings.

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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