Artificial intelligence

Field
Subfield
Domain
OpenAlex	C154945302

Smeal faculty

• Edward T. Reutzel - score 2.4
• Nathaniel D. Bastian - score 1.9
• Arnold F. Shapiro - score 1.9
• Bharadwaj Kannan - score 1.6
• Qian Chen - score 1.2
• John C. Liechty - score 1.2
• Jason Bell - score 1.0
• Brian Davis - score 0.6
• Min Ding - score 0.6
• Anh Le - score 0.6
• Lina Wang - score 0.5
• Chloe Tergiman - score 0.4
• Keran Zhao - score 0.4
• Yuting Yuan - score 0.3
• Russell R. Barton - score 0.3
• Zhongyi Yuan - score 0.3
• Jamey A. Darnell - 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

• Application of supervised machine learning for defect detection during metallic powder bed fusion additive manufacturing using high resolution imaging. (2018) - cites 435
• Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System (2022) - cites 299
• Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning (2021) - cites 159
• The merging of neural networks, fuzzy logic, and genetic algorithms (2002) - cites 145
• Multi-modal sensor fusion with machine learning for data-driven process monitoring for additive manufacturing (2021) - cites 129
• Generative artificial intelligence and evaluating strategic decisions (2024) - cites 126
• Start, Follow, Read: End-to-End Full-Page Handwriting Recognition (2018) - cites 110
• Deep Learning of Variant Geometry in Layerwise Imaging Profiles for Additive Manufacturing Quality Control (2019) - cites 83
• A Hitchhiker’s guide to the techniques of adaptive nonlinear models (2000) - cites 63
• A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks (2015) - cites 51
• Automated Factor Slice Sampling (2013) - cites 50
• Uniform and Bootstrap Resampling of Empirical Distributions (2005) - cites 43
• Rylene and Rylene Diimides: Comparison of Theoretical and Experimental Results and Prediction for High-Rylene Derivatives (2016) - cites 40
• Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems (2022) - cites 39
• A sequential deep learning framework for a robust and resilient network intrusion detection system (2024) - cites 36
• Executive education: The leading edge (1996) - cites 32
• Adversarial machine learning in Network Intrusion Detection Systems (2021) - cites 28
• Automatic posture change analysis of lactating sows by action localisation and tube optimisation from untrimmed depth videos (2020) - cites 27
• Perspectives on Bayesian Methods and Big Data (2014) - cites 22
• Risk Assessment Applications of Fuzzy Logic (2015) - cites 22
• The Shadow Prior (2009) - cites 18
• The Process of Choice in Guessing Games (2010) - cites 12
• Information Acquisition and Mutual Funds (2008) - cites 9
• What's in a Name? The Impact of Artist Names in Image Generative AI Prompts (2023) - cites 5
• The Inner Workings of Neural Networks and Genetic Algorithms (1999) - cites 4
• Entrepreneurship Teaching Exercises: integrating generative AI (2023) - cites 3
• Adverse selection in tontines (2024) - cites 2
• Vector Similarity Measures Between Refined Simplified Neutrosophic Sets And Their Multiple Attribute Decision-Making Method (2017) - cites 2
• Waiting-Time Prediction with Invisible Customers (2021) - cites 0
• Edge-Enabled Deep Learning Frameworks for Heart Disease Prediction: A Comprehensive Review (2025) - cites 0