Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value. - Koduru Hajarathaiah; Murali Krishna Enduri; Satish Anamalamudi (COMPLEX NETWORKS, 2021)

Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks. - Koduru Hajarathaiah; Murali Krishna Enduri; Satish Anamalamudi; Tatireddy Subba Reddy; Srilatha Tokala (Entropy, 2022)

A Crop Recommendation System Based on Nutrients and Environmental Factors Using Machine Learning Models and IoT. - Anishka Chauhan; Anuraag Tsunduru; Kishwar Parveen; Srilatha Tokala; Koduru Hajarathaiah; Murali Krishna Enduri (ICIT, 2023)

Generalization of Relative Change in a Centrality Measure to Identify Vital Nodes in Complex Networks. - Koduru Hajarathaiah; Murali Krishna Enduri; Sateeshkrishna Dhuli; Satish Anamalamudi; Linga Reddy Cenkeramaddi (IEEE Access, 2023)

Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking. - Mondikathi Chiranjeevi; Sateeshkrishna Dhuli; Murali Krishna Enduri; Koduru Hajarathaiah; Linga Reddy Cenkeramaddi (IEEE Access, 2024)

Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures. - Koduru Hajarathaiah; Murali Krishna Enduri; Satish Anamalamudi; Ashu Abdul; Jenhui Chen (IEEE Access, 2024)

Cascade Kronecker neuro-fuzzy network based influential node identification. - Koduru Hajarathaiah; Chandra Sekhar Kolli; Tatireddy Subba Reddy; M. P. J. Santosh Kumar; Vijaya Kumar Reddy Radha; Vadisena Venkata Krishna Reddy (Appl. Soft Comput., 2025)

Compact Pyramidal dense mixed attention network for Diabetic retinopathy severity prediction under deep learning. - M. Gargi; Rama Krishna Eluri; Om Prakash Samantray; Koduru Hajarathaiah (Biomed. Signal Process. Control., 2025)