Ming Chuang

1.3k total citations · 1 hit paper
14 papers, 944 citations indexed

About

Ming Chuang is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming Chuang has authored 14 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 11 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming Chuang's work include Computer Graphics and Visualization Techniques (11 papers), 3D Shape Modeling and Analysis (11 papers) and Advanced Numerical Analysis Techniques (4 papers). Ming Chuang is often cited by papers focused on Computer Graphics and Visualization Techniques (11 papers), 3D Shape Modeling and Analysis (11 papers) and Advanced Numerical Analysis Techniques (4 papers). Ming Chuang collaborates with scholars based in United States, United Kingdom and Finland. Ming Chuang's co-authors include Hugues Hoppe, Misha Kazhdan, Alvaro Collet, Michael Kazhdan, P. Sweeney, David Calabrese, Adam G. Kirk, Steve Sullivan, Todd McNutt and Binbin Wu and has published in prestigious journals such as ACM Transactions on Graphics, Medical Physics and Appetite.

In The Last Decade

Ming Chuang

14 papers receiving 917 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-quality streamable free-viewpoint video

2015 367 citations Alvaro Collet, Ming Chuang et al. ACM Transactions on Graphics profile →

Peers

Countries citing papers authored by Ming Chuang

Since Specialization

Citations

This map shows the geographic impact of Ming Chuang'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 Ming Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Chuang more than expected).

Fields of papers citing papers by Ming Chuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Chuang. 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 Ming Chuang. The network helps show where Ming Chuang may publish in the future.

Co-authorship network of co-authors of Ming Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Chuang. A scholar is included among the top collaborators of Ming Chuang 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 Ming Chuang. Ming Chuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Poisson Surface Reconstruction with Envelope Constraints 2020 ·Computer Graphics Forum ·Misha Kazhdan, Ming Chuang, Szymon Rusinkiewicz, Hugues Hoppe	68
2	Montage4D 2018 ·Ruofei Du, Ming Chuang, Wayne Chang, Hugues Hoppe, Amitabh Varshney	37
3	Gradient-domain processing within a texture atlas 2018 ·ACM Transactions on Graphics ·(unknown), Misha Kazhdan, Ming Chuang, Hugues Hoppe	15
4	Spatiotemporal atlas parameterization for evolving meshes 2017 ·ACM Transactions on Graphics ·(unknown), Misha Kazhdan, Ming Chuang, Alvaro Collet, Hugues Hoppe	20
5	Gradient-Domain Processing of Meshes 2016 ·Zenodo (CERN European Organization for Nuclear Research) ·Ming Chuang, Szymon Rusinkiewicz, Misha Kazhdan	5
6	Motion graphs for unstructured textured meshes 2016 ·ACM Transactions on Graphics ·(unknown), Misha Kazhdan, Ming Chuang, Alvaro Collet, Hugues Hoppe	26
7	High-quality streamable free-viewpoint video breakdown → 2015 ·ACM Transactions on Graphics ·Alvaro Collet, Ming Chuang, P. Sweeney, (unknown), (unknown), David Calabrese, Hugues Hoppe, Adam G. Kirk, Steve Sullivan	367
8	Interactive and anisotropic geometry processing using the screened Poisson equation 2011 ·Ming Chuang, Michael Kazhdan	14
9	Fast Mean‐Curvature Flow via Finite‐Elements Tracking 2011 ·Computer Graphics Forum ·Ming Chuang, Michael Kazhdan	13
10	Interactive and anisotropic geometry processing using the screened Poisson equation 2011 ·ACM Transactions on Graphics ·Ming Chuang, Michael Kazhdan	16
11	Patient geometry‐driven information retrieval for IMRT treatment plan quality control 2009 ·Medical Physics ·Binbin Wu, Francesco Ricchetti, Giuseppe Sanguineti, Misha Kazhdan, Patricio Simari, Ming Chuang, Russell H. Taylor, Robert Jacques, Todd McNutt	238
12	A Shape Relationship Descriptor for Radiation Therapy Planning 2009 ·Lecture notes in computer science ·Michael Kazhdan, Patricio Simari, Todd McNutt, Binbin Wu, Robert Jacques, Ming Chuang, Russell H. Taylor	61
13	Estimating the Laplace‐Beltrami Operator by Restricting 3D Functions 2009 ·Computer Graphics Forum ·Ming Chuang, Linjie Luo, Benedict J. Brown, Szymon Rusinkiewicz, Michael Kazhdan	63
14	Continuous or binge access to sweet-fat food reduces mu-opioid receptor mRNA expression in the nucleus of the solitary tract in female rats 2009 ·Appetite ·Nicholas T. Bello, (unknown), Ming Chuang, (unknown), Zachary W. Patinkin, Prateush Singh, Timothy H. Moran	1

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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