Artificial intelligence

Field
Subfield
Domain
OpenAlex	C154945302

Smeal faculty

• Nathaniel D. Bastian - score 2.6
• Rashmi Sharma - score 1.9
• Arnold F. Shapiro - score 1.9
• Qian Chen - score 1.4
• John C. Liechty - score 1.2
• Kira Schabram - score 1.0
• Jason Bell - score 1.0
• Russell R. Barton - score 0.7
• Tony M. Kwasnica - score 0.6
• Lina Wang - score 0.6
• Jing Tian - score 0.5
• Jingzhi Huang - score 0.5
• Chloe Tergiman - score 0.4
• Keran Zhao - score 0.4
• Yuting Yuan - score 0.3
• Menglong Guan - score 0.3
• Joel M. Vanden - score 0.2
• Nan Zhu - score 0.2
• Albert A. Vicere - score 0.1

Papers

• Adversarial machine learning in Network Intrusion Detection Systems (2021) - cites 253
• Generative artificial intelligence and evaluating strategic decisions (2024) - cites 219
• The merging of neural networks, fuzzy logic, and genetic algorithms (2002) - cites 141
• Ghost in the Machine: On Organizational Theory in the Age of Machine Learning (2020) - cites 113
• Digital-Twin-Assisted Task Assignment in Multi-UAV Systems: A Deep Reinforcement Learning Approach (2023) - cites 98
• Efficient deep learning-based tomato leaf disease detection through global and local feature fusion (2025) - cites 70
• A Hitchhiker’s guide to the techniques of adaptive nonlinear models (2000) - cites 62
• A sequential deep learning framework for a robust and resilient network intrusion detection system (2024) - cites 58
• Automated Factor Slice Sampling (2013) - cites 51
• Uniform and Bootstrap Resampling of Empirical Distributions (2005) - cites 43
• Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems (2022) - cites 42
• PROCESS-ORIENTED BASIS REPRESENTATIONS FOR MLTLTIVARIATE PROCESS DIAGNOSTICS (1996) - cites 39
• Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation (2025) - cites 35
• Executive education: The leading edge (1996) - cites 34
• Road Extraction Convolutional Neural Network with Embedded Attention Mechanism for Remote Sensing Imagery (2022) - cites 26
• Simulating doctors’ thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning (2023) - cites 26
• Risk Assessment Applications of Fuzzy Logic (2015) - cites 25
• Perspectives on Bayesian Methods and Big Data (2014) - cites 22
• An improved SegNet network model for accurate detection and segmentation of car body welding slags (2022) - cites 22
• The Shadow Prior (2009) - cites 16
• The Process of Choice in Guessing Games (2010) - cites 13
• Information Acquisition and Mutual Funds (2008) - cites 9
• Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration (2023) - cites 7
• Use of Reinforcement Learning as a Challenge: A Review (2013) - cites 5
• Generative AI May Be Good For Artists: Understanding the Impact of Artistic Style on Preference and Willingness to Pay (2023) - cites 5
• The Inner Workings of Neural Networks and Genetic Algorithms (1999) - cites 4
• The Machine Hums! Addressing Ontological and Normative Concerns Regarding Machine Learning Applications in Organizational Scholarship (2021) - cites 3
• Adverse selection in tontines (2024) - cites 3
• Object Detection Frameworks and Services in Computer Vision (2022) - cites 2
• Comparison of the Efficiency of K-Means, GMM and EM Algorithms in Image Processing (2025) - cites 2