Andy Shih

2.5k total citations
9 papers, 125 citations indexed

About

Andy Shih is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Andy Shih has authored 9 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Andy Shih's work include Bayesian Modeling and Causal Inference (3 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Andy Shih is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Andy Shih collaborates with scholars based in United States, Taiwan and France. Andy Shih's co-authors include Adnan Darwiche, Arthur Choi, Yih-Shiou Hwang, Wei‐Chi Wu, Chi‐Hung Lin, Ming‐Tse Kuo, Chang‐Fu Kuo, Eugene Yu‐Chuan Kang, Ching‐Hsi Hsiao and Stefano Ermon and has published in prestigious journals such as Diagnostics, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Andy Shih

9 papers receiving 125 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andy Shih United States	5	59	48	24	14	10	9	125
Johan Rohdin Czechia	9	200 3.4×	22 0.5×	25 1.0×			33	234
Elias Grinias France	2	16 0.3×	3 0.1×	14 0.6×	3 0.2×		3	67
Ankit Shah United States	5	23 0.4×	9 0.2×		4 0.3×	5 0.5×	13	99
Faraz Hussain United States	5	20 0.3×	3 0.1×	2 0.1×	15 1.1×	1 0.1×	25	107
Fabrice Muhlenbach France	6	98 1.7×		6 0.3×	6 0.4×	2 0.2×	14	141
Roberta Răileanu Israel	4	76 1.3×		4 0.2×	5 0.4×	2 0.2×	11	114
Anirudha Ghosh India	2	40 0.7×		52 2.2×	3 0.2×	4 0.4×	3	101
Vahiduddin Shariff India	8	34 0.6×		31 1.3×	2 0.1×		27	138
Mozhdeh Gheini United States	2	31 0.5×	1 0.0×	8 0.3×	4 0.3×	1 0.1×	5	74
Joost van Amersfoort United Kingdom	6	89 1.5×		16 0.7×	2 0.1×		6	126

Countries citing papers authored by Andy Shih

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andy Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Andy Shih. A scholar is included among the top collaborators of Andy Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andy Shih. Andy Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Zhou, Linqi, Andy Shih, Chenlin Meng, & Stefano Ermon. (2024). DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. 4610–4619. 2 indexed citations

2.

Shih, Andy, Stefano Ermon, & Dorsa Sadigh. (2022). Conditional Imitation Learning for Multi-Agent Games. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). 166–175. 2 indexed citations

3.

Shih, Andy, Chi‐Hung Lin, Ming‐Tse Kuo, et al.. (2021). Using Slit-Lamp Images for Deep Learning-Based Identification of Bacterial and Fungal Keratitis: Model Development and Validation with Different Convolutional Neural Networks. Diagnostics. 11(7). 1246–1246. 53 indexed citations

4.

Shih, Andy, Dorsa Sadigh, & Stefano Ermon. (2021). HyperSPNs: Compact and Expressive Probabilistic Circuits. arXiv (Cornell University). 34. 2 indexed citations

5.

Shih, Andy, et al.. (2021). On the Critical Role of Conventions in Adaptive Human-AI Collaboration. arXiv (Cornell University). 14 indexed citations

6.

Shih, Andy & Stefano Ermon. (2020). Probabilistic Circuits for Variational Inference in Discrete Graphical Models. Neural Information Processing Systems. 33. 4635–4646. 2 indexed citations

7.

Shi, Weijia, Andy Shih, Adnan Darwiche, & Arthur Choi. (2020). On Tractable Representations of Binary Neural Networks. 882–892. 19 indexed citations

8.

Shih, Andy, Arthur Choi, & Adnan Darwiche. (2019). Compiling Bayesian Network Classifiers into Decision Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7966–7974. 20 indexed citations

9.

Shih, Andy, Arthur Choi, & Adnan Darwiche. (2018). Formal Verification of Bayesian Network Classifiers. 427–438. 11 indexed citations

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.

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