- Deepa Kumari, Pavan Kumar Reddy Yannam, Isha Nilesh Gohel, Mutyala Venkata Sai Subhash Naidu, Yash Arora, B. S. A. S. Rajita, Subhrakanta Panda, and Jabez Christopher. Computational model for breast cancer diagnosis using HFSE framework. Biomedical Signal Processing and Control, Elsevier, 86:A, 2023. : 105121. https://doi.org/10.1016/j.bspc.2023.105121. SCI-E, Q1: Health Informatics.
- Ramisetty Kavya, Christopher Jabez, Subhrakanta Panda. A new Belief Interval-based Total Uncertainty Measure for Dempster-Shafer Theory, Information Sciences, Elsevier, 2023. https://doi.org/10.1016/j.ins.2023.119150. Scopus, SCI, Q1: Artificial Intelligence, IF: 8.233.
Kavya Ramisetty, Akshat Singh, Jabez Christopher, Subhrakanta Panda. Knowledge-based system for three-way decision-making under uncertainty. Knowledge and Information Systems, Springer, 65:8, pp: 1 - 32, 2023. https://doi.org/10.1007/s10115-023-01882-x. Scopus, SCIE, Q2: Artificial Intelligence, IF: 2.53.
Otta, S.P., Panda, S., Gupta, M., Hota, C. A Systematic Survey of Multi-Factor Authentication for Cloud Infrastructure. Future Internet, MDPI, 2023, 15:4, pp: 1-20. https://doi.org/ 10.3390/fi15040146. Scopus, Q2: Computer Networks and Communications, IF:0.79.
- Rajita, B. S. A. S., Pranay Tarigopula, Phanindra Ramineni, Ashank Sharma, and Subhrakanta Panda. Application of Evolutionary Algorithms in Social Networks: A Comparative Machine Learning Perspective. New Generation Computing, Springer, 41: 2, pp: 401-444, 2023. https://doi.org/10.1007/s00354-023-00215-4, SCI-E, IF: 1.18, Q3: Computer Networks and Communications.
- Ramisetty Kavya, Avantika Kala, Jabez Christopher, Subhrakanta Panda, Bakthasingh Lazarus. DAAR: Drift Adaption and Alternatives Ranking approach for interpretable clinical decision support systems, Biomedical Signal Processing and Control, Elsevier, 84:1, pp: 1-17, 2023. https://doi.org/10.1016/j.bspc.2023.104793. SCI-E, IF 5.076, Q1: Health Informatics.
- B S A S Rajita, Halani Vruthik, Dhruvil Shah, Subhrakanta Panda. GAN-C: A Generative Adversarial Network with a Classifier for Effective Event Prediction, Computational Intelligence, Wiley, 38:6, pp: 1922-1955, 2022. SCI-E, IF 3.45, Q2: Artificial Intelligence.
- Ramisetty Kavya, Jabez Christopher, Subhrakanta Panda, Bakthasingh Lazarus, and Julie Dayala. An Explainable Konwledge-based System using Subjective Preferences and Objective Data for ranking Decision Alternatives, Methods of Information in Medicine, Thieme Publishers, 61:3, pp: 111 - 122, 2022. DOI: 10.1055/s-0042-1756650. SCIE, Q1: Advanced and Specialized Nursing.
- Rajita, B. S. A. S., Mihir Bansal, Bipin Sai Narwa, and Subhrakanta Panda. Cuckoo search in threshold optimization for better event detection in social networks, Social Network Analysis and Mining, Springer, 12:1, pp: 1-19, 2022. https://doi.org/10.1007/s13278-022-00867-y. Scopus, Q1: Communication.
- Ramisetty Kavya, Jabez Christopher, Subhrakanta Panda, Y. Bakthasingh Lazarus, Machine Learning and XAI approaches for Allergy Diagnosis, Biomedical Signal Processing and Control, 69:1, pp: 1 - 15, 2021, 102681, ISSN 1746-8094. https://doi.org/10.1016/j.bspc.2021.102681. SCI-E, Q1: Health Informatics.
- B Rajita, Y Ranjan, CT Umesh, S Panda. Spark-Based Parallel Method for Prediction of Events. Arabian Journal for Science and Engineering, 45:1, pp: 3437–3453, 2020. SCI-E, Q1: Multi-disciplinary.
- M. V. Prudhviraj, S Panda. Simulated Annealing: An Experimental Application on Pairwise Testing. International Journal of Innovative Technology and Exploring Engineering, 8:6, 377-381, 2019. Scopus.
- S. Panda and D. P. Mohapatra, “Regression Test Suite Minimization using Integer Linear Programming Model”, Software Practice and Experience, Willey Online Library, 47:11, 1539-1560, 2017, (DOI: 10.1002/spe.2485). SCI-E, Q2: Software.
- S. Godboley, S. Panda, A. Dutta, D. P. Mohapatra, “An Automated Analysis of the Branch Coverage and Energy Consumption Using Concolic Testing”, Arabian Journal for Science and Engineering, DOI: 10.1007/s13369-016-2284-2, pp: 1-19, 2016. SCI-E, Q1: Multi-disciplinary.
- Jagannath Singh, S. Panda, P. M. Khilar, D. P. Mohapatra, “A Graph-Based Dynamic Slicing of Distributed Aspect-Oriented Software”, ACM-SIGSOFT, ACM, Vol. 41, No. 2, pp: 1-8, 2016.
- S. Panda, D. Munjal, and D. P. Mohapatra, “A Slice-Based Change Impact Analysis for Regression Test Case Prioritization of Object-Oriented Programs”, Advances in Software Engineering, Hindawi Publishers, (http://dx.doi.org/10.1155/2016/7132404), 2016.
S. Panda, D. P. Mohapatra, “A Framework to measure Coupling using Static Change Impact Analysis”, International Journal of Business Information Systems, Inderscience Publishers, Vol. 23, No. 3, pp: 353-387, 2016.
S. Panda, D. P. Mohapatra, “ACCo: A Novel Approach to Measure Cohesion using Hierarchical Slicing of Java Programs”, Journal of Innovations in Systems and Software Engineering, Springer, Vol. 11, No. 4, pp: 243-260, 2015.
S. Panda, D. P. Mohapatra, “Hierarchical Regression Test Selection using Slicing”, International Journal of Computational Science and Engineering, Inderscience Publishers, Vol. 14, No. 2, pp: 179-197, 2017.
S. Godboley, S. Panda, D. P. Mohapatra, “SMCDCT: A Framework for Automated MC/DC Test Case Generation Using Distributed Concolic Testing”, Distributed Computing and Internet Technology, Lecture Notes in Computer Science, Springer, Vol. 8956, pp 199-202, 2015.
S. Panda, A. Mishra, and D. Munjal, “Aspect Mining Using UML Communication Diagram”, International Journal of Computer Science and Informatics (IJCSI), Vol. 3, No. 2, pp: 52-57, 2013.
A. Mishra, S. Panda, and D. Munjal, “Dynamic Slicing Of Aspect-Oriented UML Communication Diagram”, International Journal of Computer Science and Informatics (IJCSI), Vol. 3, No. 2, pp: 58-63, 2013.
S. Panda, and D. P. Mohapatra, “Application of Hierarchical Slicing to Regression Test Selection of Java Programs”, In Journal of Model-based Software Engineering: Some Perspectives, Infosys Labs Briefings, Vol. 11, No. 2, pp: 3-19, 2013.