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C. K. Sunil
ResearcherPublications, citations & collaboration network
C. K. Sunil is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 12 works, 599 citations, an h-index of 7 and an i10-index of 6.
12
Works
599
Citations
7
h-index
6
i10-index
IDs:OpenAlex
How has C. K. Sunil's publication output changed over time?
ScholarIQpublication output · 2020–2024
Output grew0% over the shown period — from 1 works in 2020 to 1 in 2024.
1
1
1
6
1
20202021202220232024
What are the most-cited papers on C. K. Sunil?
ScholarIQmost cited works
Cardamom Plant Disease Detection Approach Using EfficientNetV2
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
IEEE Access. 2021223 CitationsOPEN ACCESS
DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification
Guowei Dai, Zhimin Tian, Jingchao Fan, C. K. Sunil, Christine Dewi
Computers and Electronics in Agriculture. 2023129 Citations
Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism
C. K. Sunil, Jaidhar C.D., Nagamma Patil
Expert Systems with Applications. 2023102 Citations
Systematic study on deep learning-based plant disease detection or classification
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
Artificial Intelligence Review. 202397 Citations
Binary class and multi-class plant disease detection using ensemble deep learning-based approach
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
International Journal of Sustainable Agricultural Management and Informatics. 202217 Citations
Related on ScholarIQ
Institut Technique de l'Aviculture
Institution
Cardamom Plant Disease Detection Approach Using EfficientNetV2
Paper
DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification
Paper
Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism
Paper
Systematic study on deep learning-based plant disease detection or classification
Paper
Binary class and multi-class plant disease detection using ensemble deep learning-based approach
Paper