Publications

Publications & Research Contributions

Google Scholar Profile of Bikash K. Behera: https://scholar.google.co.in/citations?user=if1XXEwAAAAJ&hl=en

Research Impact: Citations: 2800+ h-index: 30 i10-index: 64

Research Areas: Quantum Machine Learning, Quantum Optimization, Quantum Algorithms, Quantum Information

Featured Publications (Selected High-Impact Work)

1. Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm
   IEEE Transactions on Intelligent Transportation Systems, 2022
   Citations: 183

2. Quantum Machine Learning: A Review and Current Status
   Advances in Intelligent Systems and Computing, 2020
   Citations: 121

3. Analysis of quantum machine learning algorithms in noisy channels for classification tasks in the iot extreme environment

IEEE Internet of Things Journal, 2023

Citations: 40

4. A quantum approach to synthetic minority oversampling technique (SMOTE)

     Quantum Machine Intelligence, 2025

    Citations: 29

5. Solving the vehicle routing problem via quantum support vector machines

Quantum Machine Intelligence, 2024

Citations: 24

6. QSVM-QNN: Quantum support vector machine based quantum neural network learning algorithm for brain-computer interfacing systems

IEEE Transactions on Artificial Intelligence, 2025

Citations: 12

Recent Publications (2026–2025)

2026

• Unsharp Measurement with Adaptive Gaussian POVMs for Quantum-Inspired Image Processing (arXiv)

• Quantum-Inspired Geometric Classification with Correlation Group Structures and VQC Decision Modeling (arXiv)

• Investigation of Quantum Machine Learning Algorithms in Noisy Environment for Cybersecurity Applications (AIP Advances)

• Resisting Quantum Key Distribution Attacks Using Quantum Machine Learning (IET Quantum Communication)

• Noisy Analysis of Quantum SMOTE for Industrial Condition Monitoring and Fault Classification (arXiv)

2025

• Quantum Simulation and Energy Estimation for Discretized Anharmonic Oscillator (arXiv)

• Excitation Gaps of Ground and Excited State Energy of the Fermi-Hubbard Model Using Variational Quantum Eigensolver (arXiv)

• Sentiqnf: A Novel Approach to Sentiment Analysis Using Quantum Algorithms and Neuro-Fuzzy Systems (IEEE Transactions on Computational Social Systems)

• Quantum Machine Learning for Energy-Efficient IoMT Healthcare Systems (IEEE Internet of Things Journal)

• Qdcnn: Quantum Deep Learning for Enhancing Safety in Autonomous Transportation Systems (IEEE Transactions on Intelligent Transportation Systems)

• Quantum-Assisted Activation for Supervised Learning in Healthcare Intrusion Detection Systems (IEEE Transactions on Artificial Intelligence)

• Quantum-Inspired Optimization Process for Data Imputation (arXiv)

• AI-Driven Predictive Modeling for Disease Prevention and Early Detection (SLAS Technology)

• Quantum Blockchain Framework for Secure 6G Communication (IEEE Transactions on Consumer Electronics)

Journal Articles (2023–2020)

• Analysis of Vehicle Routing Problem via Hybrid Quantum Algorithms in Noisy Channels (IEEE Transactions on Quantum Engineering, 2023)

• Explainable Quantum Clustering Method to Model Medical Data (Knowledge-Based Systems, 2023)

• Analysis of Quantum Machine Learning Algorithms in Noisy Channels for IoT Environments (IEEE Internet of Things Journal, 2023)

• Entanglement Concentration of Multi-Qubit States: An IBM Quantum Experience (Quantum Studies, 2023)

• Secure Deterministic Remote State Preparation under Noise (Optics Communications, 2023)