Chandran Venkatesan

1.5k total citations · 2 hit papers
21 papers, 964 citations indexed

About

Chandran Venkatesan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chandran Venkatesan has authored 21 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chandran Venkatesan's work include Diabetic Foot Ulcer Assessment and Management (3 papers), Digital Imaging for Blood Diseases (3 papers) and AI in cancer detection (3 papers). Chandran Venkatesan is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (3 papers), Digital Imaging for Blood Diseases (3 papers) and AI in cancer detection (3 papers). Chandran Venkatesan collaborates with scholars based in India, Ethiopia and United Kingdom. Chandran Venkatesan's co-authors include M. G. Sumithra, Alagar Karthick, S. Manoharan, Robbi Rahim, Chandrashekhar K. Patil, Aritra Ghosh, Xiao‐Zhi Gao, M. Akila, Suriya Murugan and M. Deivakani and has published in prestigious journals such as IEEE Access, BioMed Research International and Materials Today Proceedings.

In The Last Decade

Chandran Venkatesan

19 papers receiving 904 citations

Hit Papers

2 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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chandran Venkatesan India	11	312	288	194	191	146	21	964
Edward Rajan Samuel Nadar India	17	299 1.0×	257 0.9×	69 0.4×	45 0.2×	337 2.3×	71	1.2k
Md. Nahiduzzaman Bangladesh	20	325 1.0×	62 0.2×	142 0.7×	25 0.1×	474 3.2×	45	1.1k
Pandia Rajan Jeyaraj India	13	193 0.6×	146 0.5×	53 0.3×	41 0.2×	147 1.0×	31	690
M. G. Sumithra India	15	311 1.0×	143 0.5×	242 1.2×	8 0.0×	168 1.2×	49	911
Muhammad Abbas Khan Pakistan	18	64 0.2×	447 1.6×	65 0.3×	34 0.2×	37 0.3×	67	778
Mohamed K. Nour Saudi Arabia	14	205 0.7×	48 0.2×	116 0.6×	11 0.1×	104 0.7×	66	573
Ayush Goyal India	13	164 0.5×	50 0.2×	23 0.1×	20 0.1×	137 0.9×	69	794
R. Karthick India	18	157 0.5×	320 1.1×	66 0.3×	58 0.3×	110 0.8×	64	888
İsmail Sarıtaş Türkiye	14	226 0.7×	64 0.2×	13 0.1×	103 0.5×	39 0.3×	47	738

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Venkatesan, Chandran, et al.. (2024). SwinDFU-Net: Deep learning transformer network for infection identification in diabetic foot ulcer. Technology and Health Care. 33(1). 601–618.

Venkatesan, Chandran, et al.. (2022). Automated Detection of Infection in Diabetic Foot Ulcer Images Using Convolutional Neural Network. Journal of Healthcare Engineering. 2022. 1–12. 24 indexed citations

Venkatesan, Chandran, et al.. (2022). 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. 2022. 1–14. 6 indexed citations

Sudha, R., et al.. (2022). 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. 236(19). 10271–10280. 4 indexed citations

Murugan, Suriya, Chandran Venkatesan, M. G. Sumithra, et al.. (2021). DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images. IEEE Access. 9. 90319–90329. 205 indexed citations breakdown →

Venkatesan, Chandran, et al.. (2021). State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithms. World Electric Vehicle Journal. 12(1). 38–38. 232 indexed citations breakdown →

Venkatesan, Chandran, Aritra Ghosh, Chandrashekhar K. Patil, et al.. (2021). Comprehensive review on recycling of spent lithium-ion batteries. Materials Today Proceedings. 47. 167–180. 32 indexed citations

Venkatesan, Chandran, M. G. Sumithra, Alagar Karthick, et al.. (2021). Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images. BioMed Research International. 2021(1). 5584004–5584004. 143 indexed citations

Ramalakshmi, K., et al.. (2021). Analysis of DNA Sequence Classification Using CNN and Hybrid Models. Computational and Mathematical Methods in Medicine. 2021. 1–12. 79 indexed citations

10.

Venkatesan, Chandran, Chandrashekhar K. Patil, Aritra Ghosh, et al.. (2021). Wind power forecasting based on time series model using deep machine learning algorithms. Materials Today Proceedings. 47. 115–126. 35 indexed citations

11.

Kabilan, R., Chandran Venkatesan, Alagar Karthick, et al.. (2021). Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms. International Journal of Photoenergy. 2021. 1–11. 68 indexed citations

12.

Venkatesan, Chandran, et al.. (2021). Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model. Computational and Mathematical Methods in Medicine. 2021. 1–12. 62 indexed citations

13.

Ramalakshmi, K., et al.. (2021). Identification of Civil Infrastructure Damage Using Ensemble Transfer Learning Model. Advances in Civil Engineering. 2021(1). 4 indexed citations

14.

Manikandan, M., et al.. (2020). Luminous power improvement in InGaN V-Shaped Quantum Well LED using CSG on SiC Substrate. IOP Conference Series Materials Science and Engineering. 906(1). 12011–12011. 5 indexed citations

15.

Sumithra, M. G., et al.. (2020). High performance area measurement system for leather industries. Materials Today Proceedings. 37. 2822–2828.

16.

Venkatesan, Chandran, et al.. (2019). Enhanced deep convolutional neural network for malarial parasite classification. International Journal of Computers and Applications. 44(12). 1113–1122. 31 indexed citations

17.

Venkatesan, Chandran, et al.. (2019). Disease Detection in Plant Leaves using K-Means Clustering and Neural Network. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

18.

Venkatesan, Chandran, et al.. (2019). Analysis of 1- bit full adder using different techniques in Cadence 45nm Technology. 179–184. 8 indexed citations

19.

Venkatesan, Chandran, et al.. (2019). Design of a 16-Bit Harvard Structure RISC Processor in Cadence 45nm Technology. 173–178. 11 indexed citations

20.

Venkatesan, Chandran, et al.. (2018). Bitstream Compression for High Speed Embedded Systems Using Separated Split Look Up Tables (LUTs). Journal of Computational and Theoretical Nanoscience. 15(5). 1719–1727. 6 indexed citations

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.

Explore authors with similar magnitude of impact