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How has K. Sreenivasulu's publication output changed over time?
ScholarIQpublication output · 2011–2025
Output grew0% over the shown period — from 1 works in 2011 to 1 in 2025.
1
1
1
1
5
1
1
2011201220182021202220242025
What are the most-cited papers on K. Sreenivasulu?
ScholarIQmost cited works
Early Prediction of Lung Cancers Using Deep Saliency Capsule and Pre-Trained Deep Learning Frameworks
Kadiyala Ramana, M. Rudra Kumar, K. Sreenivasulu, Thippa Reddy Gadekallu, Surbhi Bhatia, Parul Agarwal, Sheikh Mohammad Idrees
Frontiers in Oncology. 202250 CitationsOPEN ACCESS
Screening and identification of novel isolate Streptomyces sp., NLKPB45 from Nellore costal region for its biomedical applications
B. Kalyani, Pabba Shiva Krishna, K. Sreenivasulu
S32679471. 201838 CitationsOPEN ACCESS
Bug2 algorithm-based data fusion using mobile element for IoT-enabled wireless sensor networks
M. Jahir Pasha, Madhavi Pingili, K. Sreenivasulu, M Bhavsingh, Shaik Imam Saheb, Alaa Saleh
S4210238442. 202231 CitationsOPEN ACCESS
A Novel Approach to IoT based Plant Health Monitoring System in Smart Agriculture
Megha Mudholkar, Pankaj Mudholkar, Venkata Harshavardha Reddy Dornadula, K. Sreenivasulu, Kapil Joshi, Bhasker Pant
202227 Citations
Blockchain‐Based Federated Learning Methodologies in Smart Environments for Drone Technology
Mukkoti Maruthi Venkata Chalapathi, K. Sreenivasulu, R. Jeya, Muhammad Faheem, R. Madana Mohana, Arfat Ahmad Khan, Kadiyala Ramana
S10731693. 202514 CitationsOPEN ACCESS
Related on ScholarIQ
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Institution
Early Prediction of Lung Cancers Using Deep Saliency Capsule and Pre-Trained Deep Learning Frameworks
Paper
Screening and identification of novel isolate Streptomyces sp., NLKPB45 from Nellore costal region for its biomedical applications
Paper
Bug2 algorithm-based data fusion using mobile element for IoT-enabled wireless sensor networks
Paper
A Novel Approach to IoT based Plant Health Monitoring System in Smart Agriculture
Paper
Blockchain‐Based Federated Learning Methodologies in Smart Environments for Drone Technology
Paper