Andy Shih
Impact in
- Ophthalmology top 10%
- Ocular Infections and Treatments
- Retinal and Optic Conditions
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- Machine Learning and Algorithms
Papers in
-
- Bayesian Modeling and Causal Inference 3
- Reinforcement Learning in Robotics 3
- Adversarial Robustness in Machine Learning 2
- Data Stream Mining Techniques 2
- Machine Learning and Data Classification 2
- Explainable Artificial Intelligence (XAI) 2
- Artificial Intelligence in Games 1
-
- Rough Sets and Fuzzy Logic 2
- Co-authors
- Adnan Darwiche (4 shared papers)Arthur Choi (4 shared papers)Stefano Ermon (5 shared papers)Weijia Shi (1 shared paper)Eugene Yu‐Chuan Kang (1 shared paper)Wei‐Chi Wu (1 shared paper)Ching‐Hsi Hsiao (1 shared paper)Chang‐Fu Kuo (1 shared paper)
- Journals
- Diagnostics (1 paper)Lecture notes in computer science (1 paper)2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesFranceTaiwan
In The Last Decade
Andy Shih
11 papers receiving 187 citations
Peers
Comparison fields: 5 of 46
- Ophthalmology 49
- Artificial Intelligence 113
- Software 8
- Computational Mathematics 1
- Computational Theory and Mathematics 25
Countries citing papers authored by Andy Shih
This map shows the geographic impact of Andy Shih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andy Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Shih more than expected).
Fields of papers citing papers by Andy Shih
This network shows the impact of papers produced by Andy Shih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andy Shih. The network helps show where Andy Shih may publish in the future.
Co-authors
The 17 scholars most cited alongside Andy Shih, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 56 | |
| 2 | 2019 | 32 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 16 | |
| 6 | Formal Verification of Bayesian Network Classifiers | 2018 | 14 |
| 7 | 2024 | 5 | |
| 8 | 2022 | 4 | |
| 9 | Probabilistic Circuits for Variational Inference in Discrete Graphical Models | 2020 | 2 |
| 10 | 2021 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2023 | 0 |
About Andy Shih
Andy Shih is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mathematics, having authored 12 papers that have together received 191 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), Reinforcement Learning in Robotics (3 papers), Adversarial Robustness in Machine Learning (2 papers), Rough Sets and Fuzzy Logic (2 papers), Data Stream Mining Techniques (2 papers), Machine Learning and Data Classification (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Ophthalmology (49 citations), Artificial Intelligence (113 citations), Software (8 citations), Computational Mathematics (1 citation) and Computational Theory and Mathematics (25 citations). Andy Shih has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include Adnan Darwiche, Arthur Choi, Stefano Ermon, Weijia Shi, Eugene Yu‐Chuan Kang, Wei‐Chi Wu, Ching‐Hsi Hsiao, Chang‐Fu Kuo, Ming‐Tse Kuo and Dorsa Sadigh. Their work appears in journals such as Diagnostics, Lecture notes in computer science, 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.