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Shibdas Dutta
ResearcherPublications, citations & collaboration network
Shibdas Dutta is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 12 works, 11 citations, an h-index of 2 and an i10-index of 0.
12
Works
11
Citations
2
h-index
0
i10-index
IDs:OpenAlex
How has Shibdas Dutta's publication output changed over time?
ScholarIQpublication output · 2024–2025
Output grew133% over the shown period — from 3 works in 2024 to 7 in 2025.
3
7
20242025
What are the most-cited papers on Shibdas Dutta?
ScholarIQmost cited works
Automatic Early Detection of Tomato Blight Disease Using Deep Neural Networks
Anangsha Halder, Subhrendu Guha Neogi, Shibdas Dutta, Soumallya Chandra Chandra, Pritha Guha Majumdar, Akash Mamon Sarkar
20247 Citations
Early Detection and Classification of Tomato Leaf Blight Disease Using Deep Neural Networks
Anangsha Halder, Subhrendu Guha Neogi, Shibdas Dutta, Koustov Khamaru, Arghya Bhattacharya, Shovan Roy
20242 Citations
Automatic Early Detection of Potato Blight Disease Using Deep Neural Networks
Shibdas Dutta, Subhrendu Guha Neogi, Anangsha Halder
20242 Citations
Early Detection and Classification of Blight Diseases in Tomato and Potato Leaf Using Deep Convolution Neural Networks
Anangsha Halder, Subhrendu Guha Neogi, Shibdas Dutta, Subhajit Bhandary, Shovan Roy
S4210169156. 20250 Citations
Cropsense: Explainable Deep Learning Framework for Accurate Quality Detection in Solanaceous Crops
Shibdas Dutta, Subhrendu Guha Neogi, Shiladitya Chowdhury, Vikrant Chole, Arpan Pramanik, Diya Chanda
20250 Citations
Related on ScholarIQ
Automatic Early Detection of Tomato Blight Disease Using Deep Neural Networks
Paper
Early Detection and Classification of Tomato Leaf Blight Disease Using Deep Neural Networks
Paper
Automatic Early Detection of Potato Blight Disease Using Deep Neural Networks
Paper
Early Detection and Classification of Blight Diseases in Tomato and Potato Leaf Using Deep Convolution Neural Networks
Paper
Cropsense: Explainable Deep Learning Framework for Accurate Quality Detection in Solanaceous Crops
Paper
FruitQ-GradeX: Determining Fruit Quality and Grading with Explainable Deep Learning
Paper