Ankush Jain et al. Permutation driven evolutionary ordering with dependency filtering for multi-label classification. International Journal of Machine Learning and Cybernetics, pp.1-36, 2025. Doi: https://doi.org/10.1007/s13042-024-02502-y [IF: 3.1]
Vishal Srivastava, Shashank Shekhar Singh, Ankush Jain. Partition Clustering in Complex Weighted Networks Using K-Cut Ranking and Krill-herd Optimization. IEEE Transactions on Network Science and Engineering, 11(5), pp. 5035-5044, 2024. Doi: Https://Doi.org/10.1109/TNSE.2024.3423418 [IF: 6.7]
Ankush Jain et al. Rating Distribution-Aware Deep Cognitive Convolution Matrix Factorization for Recommendation Systems. Arabian Journal for Science and Engineering, 2024, Doi: Https://Doi.org/10.1007/S13369-024-09361-3 [IF: 2.6]
Ankush Jain et al. KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments. Knowledge and Information Systems, 66, pp. 2925-2943, 2024. Doi: Https://Doi.org/10.1007/S10115-023-02051-W [IF: 2.5]
Vishal Pradhan, Arjit Patra, Ankush Jain et al. PERMMA: Enhancing parameter estimation of software reliability growth models: A comparative analysis of metaheuristic optimization algorithms. PLoS One, 19(9), pp. e0304055, 2024, Doi: Https://Doi.org/10.1371/Journal.pone.0304055 [IF: 2.9]
Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. SS-BRSR: Structural similarity-based Bi- representation through true noise level for noise-robust face super-resolution. Multimedia Tools and Applications, 82(17), pp. 26255-26288, 2023. Doi: Https://Doi.org/10.1007/S11042-022-14325-6 [IF: 3.0]
Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar. A hybrid learning-based genetic and grey-wolf optimizer for global optimization. Soft Computing, 27(8), pp. 4713-4759, 2022. Doi: Https://Doi.org/10.1007/S00500-022-07604-9 [IF: 3.1]
Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Adaptive optimal multi-features learning based representation for face hallucination. Expert Systems with Applications, 190, pp. 116141, 2022. Doi: Https://Doi.org/10.1016/J.eswa.2021.116141 [IF: 7.5]
Ankush Jain, K. K. Pattanaik, Ajay Kumar, and Paolo Bellavista. Energy and congestion aware routing based on hybrid gradient fields for wireless sensor networks. Wireless Networks, 27(1), pp. 175-193, 2021. Doi: Https://Doi.org/10.1007/S11276-020-02439-4 [IF: 2.1]
Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Mixed-noise robust face super-resolution through residual-learning based error suppressed nearest neighbor representation. Information Sciences, 546, pp. 121-145, 2021. Doi: Https://Doi.org/10.1016/J.ins.2020.08.002 [IF: 8.1]
Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar. ADC@θr: Adaptive divisional categorization of ratings under rating threshold θr for similarity computation in recommendation systems. Applied Intelligence, 52(2), pp. 2134-2153, 2021. Doi: Https://Doi.org/10.1007/S10489-021-02428-W [IF: 3.4]
Ankush Jain, Pramod Kumar Singh, and Joydip Dhar. Multi-objective item evaluation for diverse as well as novel item recommendations. Expert Systems with Applications, 139, pp. 112857, 2020. Doi: Https://Doi.org/10.1016/J.eswa.2019.112857 [IF: 7.5]
Surendra Nagar, Ankush Jain, Pramod Kumar Singh, and Ajay Kumar. Pixel-wise dictionary learning based locality- constrained representation for noise robust face hallucination. Digital Signal Processing, 99, pp. 102667, 2020. Doi: Https://Doi.org/10.1016/J.dsp.2020.102667 [IF: 2.9]
Ankush Jain, Surendra Nagar, Pramod Kumar Singh, and Joydip Dhar. EMUCF: Enhanced multistage user-based collaborative filtering through non-linear similarity for recommendation systems. Expert Systems with Applications, 161, pp. 113724, 2020. Doi: Https://Doi.org/10.1016/J.eswa.2020.113724 [IF: 7.5]
Anand, Vijay, Ankush Jain, K. K. Pattanaik, and Ajay Kumar. "Traffic aware field-based routing for wireless sensor networks." Telecommunication Systems 71, pp. 475-489, 2019. Doi: Https://Doi.org/10.1007/S11235-018-0519-0 [IF: 1.7]