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S. P. Chokkalingam
ResearcherPublications, citations & collaboration network
S. P. Chokkalingam is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 46 works, 250 citations, an h-index of 7 and an i10-index of 6.
46
Works
250
Citations
7
h-index
6
i10-index
IDs:OpenAlex
How has S. P. Chokkalingam's publication output changed over time?
ScholarIQpublication output · 2013–2024
Output grew100% over the shown period — from 2 works in 2013 to 4 in 2024.
2
1
1
1
2
4
201320142019202120222024
What are the most-cited papers on S. P. Chokkalingam?
ScholarIQmost cited works
Optimization of VGG16 utilizing the Arithmetic Optimization Algorithm for early detection of Alzheimer’s disease
N. Deepa, S. P. Chokkalingam
S8427965. 202289 Citations
Real Time Brain Tumor Prediction Using Adaptive Neuro Fuzzy Technique
Duraimurugan Nagendiran, S. P. Chokkalingam
S40639465. 202245 CitationsOPEN ACCESS
DenseNet 121 Framework For Automatic Feature Extraction Of Diabetic Retinopathy Images
S. Siddarth, S. P. Chokkalingam
202416 Citations
IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images
S. P. Chokkalingam, K. Komathy
Zenodo (CERN European Organization for Nuclear Research). 201312 CitationsOPEN ACCESS
Comparative Image Quality Analysis of Spatial Filters for Pre-processing of CT Abdominal Images
Ramya Mohan, S. P. Chokkalingam, Kirupa Ganapathy, A. Rama
Webology. 202112 CitationsOPEN ACCESS
Related on ScholarIQ
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Institution
Optimization of VGG16 utilizing the Arithmetic Optimization Algorithm for early detection of Alzheimer’s disease
Paper
Real Time Brain Tumor Prediction Using Adaptive Neuro Fuzzy Technique
Paper
DenseNet 121 Framework For Automatic Feature Extraction Of Diabetic Retinopathy Images
Paper
IntelligentAssistive Methods for Diagnosis of Rheumatoid Arthritis using Histogram Smoothing and Feature Extraction of Bone Images
Paper
Comparative Image Quality Analysis of Spatial Filters for Pre-processing of CT Abdominal Images
Paper