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G. Chemmalar Selvi
ResearcherPublications, citations & collaboration network
G. Chemmalar Selvi is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 7 works, 37 citations, an h-index of 4 and an i10-index of 1.
7
Works
37
Citations
4
h-index
1
i10-index
IDs:OpenAlex
How has G. Chemmalar Selvi's publication output changed over time?
ScholarIQpublication output · 2017–2024
Output grew100% over the shown period — from 1 works in 2017 to 2 in 2024.
1
1
1
1
1
2
201720192020202220232024
What are the most-cited papers on G. Chemmalar Selvi?
ScholarIQmost cited works
A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems
M. Ramalingam, G. Chemmalar Selvi, Nancy Victor, Rajeswari Chengoden, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Duehee Lee, Md. Jalil Piran, Neelu Khare, Gokul Yenduri, Thippa Reddy Gadekallu
IEEE Access. 202317 CitationsOPEN ACCESS
Hyperspectral image classification using Walsh Hadamard transform- based key band selection and deep convolutional neural networks
G. G. Lakshmi Priya, Chandra Mouli, S. Domnic, G. Chemmalar Selvi, Byoung–Kwan Cho
S117411352. 20247 Citations
A FCA-Based Concept Clustering Recommender System
G. Chemmalar Selvi, G. G. Lakshmi Priya, Rose Bindu Joseph
S4393917809. 20194 Citations
CropViT: A light-weight Transformer Model for Crop Disease Detection
G. Chemmalar Selvi, H Charan, Dinesh Kumar
20244 Citations
RETRACTED: Spatial big data for disaster management
R. Shalini, K Jayapratha, S Ayeshabanu, G. Chemmalar Selvi
S4210189194. 20173 CitationsOPEN ACCESS
Related on ScholarIQ
Vellore Institute of Technology University
Institution
A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems
Paper
Hyperspectral image classification using Walsh Hadamard transform- based key band selection and deep convolutional neural networks
Paper
A FCA-Based Concept Clustering Recommender System
Paper
CropViT: A light-weight Transformer Model for Crop Disease Detection
Paper
RETRACTED: Spatial big data for disaster management
Paper