Nathaniel D. Bastian

Department	Supply Chain & Information Systems
Position	Faculty
PSU profile	https://directory.smeal.psu.edu/ndb141
OpenAlex	A5032194186
Works (OpenAlex)	284
Citations	2405
h-index	25
Match confidence	medium-v3

Top works

• Adversarial machine learning in Network Intrusion Detection Systems (2021) - Expert Systems with Applications - cites: 253
• A hybrid recommender system using artificial neural networks (2017) - Expert Systems with Applications - cites: 158
• Dehallucinating Large Language Models Using Formal Methods Guided Iterative Prompting (2023) - - cites: 72
• Association of food environment and food retailers with obesity in US adults (2015) - Health & Place - cites: 65
• A sequential deep learning framework for a robust and resilient network intrusion detection system (2024) - Computers & Security - cites: 58
• Cost-effectiveness of sofosbuvir-based treatments for chronic hepatitis C in the US (2015) - BMC Gastroenterology - cites: 55
• XG-NID: Dual-modality network intrusion detection using a heterogeneous graph neural network and large language model (2025) - Expert Systems with Applications - cites: 54
• Payload-Byte: A Tool for Extracting and Labeling Packet Capture Files of Modern Network Intrusion Detection Datasets (2022) - IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) - cites: 50
• Transfer learning for raw network traffic detection (2022) - Expert Systems with Applications - cites: 50
• Machine learning modeling practices to support the principles of AI and ethics in nutrition research (2022) - Nutrition and Diabetes - cites: 47
• Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation (2024) - IEEE Transactions on Big Data - cites: 45
• Multi-criteria logistics modeling for military humanitarian assistance and disaster relief aerial delivery operations (2015) - Optimization Letters - cites: 44
• Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems (2022) - Expert Systems with Applications - cites: 42
• Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework (2023) - Expert Systems with Applications - cites: 41
• GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection (2025) - IEEE Transactions on Information Forensics and Security - cites: 40
• A Mixed-Methods Research Framework for Healthcare Process Improvement (2015) - Journal of Pediatric Nursing - cites: 40
• Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation (2025) - ACM Transactions on Privacy and Security - cites: 35
• SeNet-I: An Approach for Detecting Network Intrusions Through Serialized Network Traffic Images (2023) - Engineering Applications of Artificial Intelligence - cites: 35
• A Robust, Multi-criteria Modeling Approach for Optimizing Aeromedical Evacuation Asset Emplacement (2009) - The Journal of Defense Modeling and Simulation Applications Methodology Technology - cites: 33
• Machine learning raw network traffic detection (2021) - - cites: 32
• A maximum expected covering problem for locating and dispatching two classes of military medical evacuation air assets (2014) - Optimization Letters - cites: 29
• Approximate dynamic programming for the aeromedical evacuation dispatching problem: Value function approximation utilizing multiple level aggregation (2018) - Omega - cites: 28
• Healthcare market segmentation and data mining: A systematic review (2018) - Health Marketing Quarterly - cites: 27
• Healthcare Systems Engineering (2015) - Wiley eBooks - cites: 27
• FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System (2024) - Digital Threats Research and Practice - cites: 26

Topics