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How has K. Eswara Rao's publication output changed over time?
ScholarIQpublication output · 2014–2025
Output grew200% over the shown period — from 1 works in 2014 to 3 in 2025.
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201420202022202320242025
What are the most-cited papers on K. Eswara Rao?
ScholarIQmost cited works
RETRACTED ARTICLE: Ensemble learning with recursive feature elimination integrated software effort estimation: a novel approach
K. Eswara Rao, G. Appa Rao
S182392644. 202024 Citations
Feature importance for software development effort estimation using multi level ensemble approaches
K. Eswara Rao, Panduranga Vital Terlapu, P. Annan Naidu, Ravi Kumar Tammineni, Bala Murali Pydi
Bulletin of Electrical Engineering and Informatics. 20246 CitationsOPEN ACCESS
Ensemble Learning Approach for Effective Software Development Effort Estimation with Future Ranking
K. Eswara Rao, Balamurali Pydi, P. Annan Naidu, U. D. Prasann, P. Anjaneyulu
ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL. 20234 CitationsOPEN ACCESS
Retraction Note: ensemble learning with recursive feature elimination integrated software effort estimation: a novel approach
K. Eswara Rao, G. Appa Rao
S182392644. 20222 CitationsOPEN ACCESS
An Intelligent Security Framework for Industrial IoT Using Swarm Based Optimized Ensemble Machine Learning Model
K. Eswara Rao, Ch. Ravikishore, Ajay Kushwaha, V.J Aishwarya Devi, Trinadha Burle, Pondreti Ramkishor
International Journal of Computing and Digital Systems. 20252 CitationsOPEN ACCESS
Related on ScholarIQ
Aditya Birla (India)
Institution
RETRACTED ARTICLE: Ensemble learning with recursive feature elimination integrated software effort estimation: a novel approach
Paper
Feature importance for software development effort estimation using multi level ensemble approaches
Paper
Ensemble Learning Approach for Effective Software Development Effort Estimation with Future Ranking
Paper
Retraction Note: ensemble learning with recursive feature elimination integrated software effort estimation: a novel approach
Paper
An Intelligent Security Framework for Industrial IoT Using Swarm Based Optimized Ensemble Machine Learning Model
Paper