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How has Srikanth Yalabaka's publication output changed over time?
ScholarIQpublication output · 2022–2026
Output declined80% over the shown period — from 5 works in 2022 to 1 in 2026.
5
4
1
1
2022202320252026
What are the most-cited papers on Srikanth Yalabaka?
ScholarIQmost cited works
Breast Cancer Classification using CNN with Transfer Learning Models
Ch. Rajendra Prasad, Banothu Arun, Soma Amulya, Preethi Abboju, Sreedhar Kollem, Srikanth Yalabaka
202322 Citations
Kidney Cancer Detection using Deep Learning Models
K. Rajkumar, Ravi Teja Sri Ramoju, Tharun Balelly, Sravan Ashadapu, Ch. Rajendra Prasad, Srikanth Yalabaka
202322 Citations
Customer Segmentation Using Machine Learning
Nikitha Gankidi, Sagarika Gundu, Mohd viqar Ahmed, Tahneeyath Tanzeela, Ch. Rajendra Prasad, Srikanth Yalabaka
2022 2nd International Conference on Intelligent Technologies (CONIT). 202217 Citations
A Deep Learning Model for Traffic Sign Detection and Recognition using Convolution Neural Network
Matta Preethi Reddy, MD.Farhan Mohiuddin, Shruthi Budde, Gajula Jayanth, Ch. Rajendra Prasad, Srikanth Yalabaka
2022 2nd International Conference on Intelligent Technologies (CONIT). 202214 Citations
Unveiling the Multifaceted Pharmacological Actions of Indole-3-Carbinol and Diindolylmethane: A Comprehensive Review
Srikanth Yalabaka, Dontiboina Harikrishna Reddy, Vinjavarapu Lakshmi Anusha, Naresh Dumala, Matte Kasi Viswanadh, Guntupalli Chakravarthi, Buchi N. Nalluri, Ganesh Yadagiri, Kakarla Ramakrishna
S4210230202. 202512 CitationsOPEN ACCESS
Related on ScholarIQ
National Institute of Technology Warangal
Institution
Breast Cancer Classification using CNN with Transfer Learning Models
Paper
Kidney Cancer Detection using Deep Learning Models
Paper
Customer Segmentation Using Machine Learning
Paper
A Deep Learning Model for Traffic Sign Detection and Recognition using Convolution Neural Network
Paper
Unveiling the Multifaceted Pharmacological Actions of Indole-3-Carbinol and Diindolylmethane: A Comprehensive Review
Paper