• G. Tekkali and K. Natarajan, "Smart fraud detection in e-transactions using synthetic minority oversampling and binary harris hawks optimization," Computers, Materials & Continua, vol. 75, no.2, pp. 3171–3187, 2023. https://doi.org/10.32604/cmc.2023.036865 (SCI IF=3.8)
• Tekkali, C.G., Natarajan, K. RDQN: ensemble of deep neural network with reinforcement learning in classification based on rough set theory for digital transactional fraud detection. Complex Intell. Syst. (2023). https://doi.org/10.1007/s40747-023-01016-4 (SCI IF=6.7)
• Tekkali, C. G., & Natarajan, K. (2024). An advancement in AdaSyn for imbalanced learning: An application to fraud detection in digital transactions. Journal of Intelligent & Fuzzy Systems, 46(5-6), 11381-11396. (SCI=1.7)
• Tekkali, C. G., & Natarajan, K. (2024). Transfer learning of pre-trained CNNs on digital transaction fraud detection. International Journal of Knowledge-Based and Intelligent Engineering Systems, 28(3), 571-580. (SCOPUS-Published).
• Komali, K., Vijaya, J., Prasamsa, K.V., Tekkali, C.G. and Reddy, E.R., A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies. Turkish Journal of Physiotherapy and Rehabilitation, 32, p.3. (UGC Care Journal– Published)
• G. Tekkali and K. Natarajan, “A Novel Rule-Based Min-Max Classification: Application to Smart Transactional Fraud Detection,” Int. J. of Electronic Finance. (SCOPUS-Accepted).
• Tekkali, C. G., & Natarajan, K. (2024). Assessing CNN’s Performance with Multiple Optimization Functions for Credit Card Fraud Detection. Procedia Computer Science, Elsevier, 235, 2035-2042 (Conference-Scopus Indexed).
• G. Tekkali and J. Vijaya, "A Survey: Methodologies used for Fraud Detection in Digital Transactions," 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2021, pp. 1758-1765, doi: 10.1109/ICESC51422.2021.9532915. (Conference-Scopus Indexed)
• G. Tekkali and K. Natarajan, "Smart Payment Fraud Detection using QML – A Major Challenge," 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India, 2023, pp. 523-526, doi: 10.1109/ICAIS56108.2023.10073712. (Conference-Scopus Indexed)
• Tekkali, C.G., Natarajan, K., Guruteja Reddy, T. (2024). Performance Comparison of Various Supervised Learning Algorithms for Credit Card Fraud Detection. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_25 (Conference-Scopus Indexed))
• G. Tekkali, K. Natarajan and V. M. Bhuvanesh, "A Novel Classification Approach for Smart Card Fraud Detection," 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), Faridabad, India, 2023, pp. 169-173, doi: 10.1109/ICAICCIT60255.2023.10466027. (Conference-Scopus Indexed)
• Natarajan, C. G. Tekkali, Vijaya J and Kushi " Image Processing Based Tracking and Counting Vehicles" (Submitted to IEE conference MRTM 2023 (Conference-Accepted)
• Naseeba, B., Tekkali, C.G., Hemachandra, S., Suneetha, K., Challa, N.P. (2024). Analyzing Tweets Based on Emotions. In: Singh, N., Bashir, A.K., Kadry, S., Hu, YC. (eds) Proceedings of the 1st International Conference on Intelligent Healthcare and Computational Neural Modelling . ICIHCNN 2022. Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-99-2832-3_58 (Conference- Scopus Indexed)

Book Chapter

• Tekkali, C. G., Sathwik, A. S., Naseeba, B., & Radhika, V. AI-Powered Energy Optimization. In Cybersecurity and Data Science Innovations for Sustainable Development of HEICC (pp. 422-435). CRC Press. (Published).
• Tekkali, C. G., Natarajan, K., & Srinivasulu, A. (2025). A Comprehensive Study in the Kidney Transplantation Process with the Role of Blockchain Technology. Blockchain‐Enabled Solutions for the Pharmaceutical Industry, 233-249. (Published).

Patents:

• Classification of Discretized Datasets Using Machine Learning Employing Minimum-maximum Classifier having Application No. 202341076658. (Published) 
• System and Method For Predicting Soil Nutrients For Crop Yield Optimization having Application No. 202341088861. (Published)