Shing-Tung Yau

4.0k total citations · 1 hit paper
34 papers, 2.1k citations indexed

About

Shing-Tung Yau is a scholar working on Geometry and Topology, Astronomy and Astrophysics and Computational Mechanics. According to data from OpenAlex, Shing-Tung Yau has authored 34 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Geometry and Topology, 10 papers in Astronomy and Astrophysics and 10 papers in Computational Mechanics. Recurrent topics in Shing-Tung Yau's work include Geometry and complex manifolds (9 papers), Cosmology and Gravitation Theories (9 papers) and Black Holes and Theoretical Physics (9 papers). Shing-Tung Yau is often cited by papers focused on Geometry and complex manifolds (9 papers), Cosmology and Gravitation Theories (9 papers) and Black Holes and Theoretical Physics (9 papers). Shing-Tung Yau collaborates with scholars based in United States, Taiwan and Germany. Shing-Tung Yau's co-authors include Richard Schoen, Gang Tian, Joel Smoller, Felix Finster, Xianfeng Gu, Eric Zaslow, Naichung Conan Leung, Tony F. Chan, Lydia Bieri and Yalin Wang and has published in prestigious journals such as Scientific Reports, Nuclear Physics B and IEEE Transactions on Medical Imaging.

In The Last Decade

Shing-Tung Yau

34 papers receiving 1.9k citations

Hit Papers

On the proof of the positive mass conjecture in general r... 1979 2026 1994 2010 1979 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shing-Tung Yau United States 17 1.1k 1.1k 860 837 334 34 2.1k
H. Blaine Lawson United States 30 998 0.9× 3.7k 3.5× 427 0.5× 3.4k 4.1× 284 0.9× 87 4.8k
Ivan Kolář Czechia 13 480 0.4× 283 0.3× 314 0.4× 632 0.8× 311 0.9× 131 1.3k
Arthur L. Besse United States 7 840 0.8× 1.4k 1.3× 211 0.2× 1.2k 1.4× 158 0.5× 15 1.8k
Gerhard Huisken Germany 23 936 0.9× 2.9k 2.8× 218 0.3× 2.2k 2.6× 85 0.3× 42 3.3k
M. Crampin United Kingdom 23 524 0.5× 237 0.2× 284 0.3× 307 0.4× 976 2.9× 90 1.5k
Yvonne Choquet–Bruhat France 23 1.4k 1.4× 692 0.7× 1.3k 1.5× 171 0.2× 443 1.3× 92 2.3k
Eugenio Calabi United States 20 389 0.4× 1.5k 1.4× 182 0.2× 1.4k 1.7× 194 0.6× 31 2.1k
Joel Langer United States 15 165 0.2× 601 0.6× 80 0.1× 470 0.6× 359 1.1× 32 1.2k
Scott A. Wolpert United States 23 100 0.1× 600 0.6× 232 0.3× 1.1k 1.3× 249 0.7× 46 1.7k
Yong Huang China 21 245 0.2× 672 0.6× 166 0.2× 307 0.4× 193 0.6× 81 1.2k

Countries citing papers authored by Shing-Tung Yau

Since Specialization
Citations

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

Fields of papers citing papers by Shing-Tung Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shing-Tung Yau. 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 Shing-Tung Yau. The network helps show where Shing-Tung Yau may publish in the future.

Co-authorship network of co-authors of Shing-Tung Yau

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

All Works

20 of 20 papers shown
1.
Yau, Shing-Tung, et al.. (2021). Weil–Petersson geometry on the space of Bridgeland stability conditions. Communications in Analysis and Geometry. 29(3). 681–706. 3 indexed citations
2.
Lin, Wen-Wei, et al.. (2021). 3D brain tumor segmentation using a two-stage optimal mass transport algorithm. Scientific Reports. 11(1). 14686–14686. 10 indexed citations
3.
Liu, Jijun, et al.. (2020). The dynamical model for COVID-19 with asymptotic analysis and numerical implementations. Applied Mathematical Modelling. 89. 1965–1982. 14 indexed citations
4.
Li, Tiexiang, et al.. (2020). Optimized surface parameterizations with applications to Chinese virtual broadcasting. ETNA - Electronic Transactions on Numerical Analysis. 53. 383–405. 2 indexed citations
5.
Li, Tiexiang, et al.. (2019). A Novel Algorithm for Volume-Preserving Parameterizations of 3-Manifolds. SIAM Journal on Imaging Sciences. 12(2). 1071–1098. 13 indexed citations
6.
Yau, Shing-Tung, et al.. (2018). Evaluating Quasi-local Angular Momentum and Center-of-Mass at Null Infinity. arXiv (Cornell University). 3 indexed citations
7.
Yau, Shing-Tung, et al.. (2018). Mirror of Atiyah flop in symplectic geometry and stability conditions. Advances in Theoretical and Mathematical Physics. 22(5). 1149–1207. 4 indexed citations
8.
Lin, Wen-Wei, et al.. (2018). iSIRA: Integrated shift–invert residual Arnoldi method for graph Laplacian matrices from big data. Journal of Computational and Applied Mathematics. 346. 518–531. 7 indexed citations
9.
Bieri, Lydia, David Garfinkle, & Shing-Tung Yau. (2016). Gravitational wave memory in de Sitter spacetime. Physical review. D. 94(6). 34 indexed citations
10.
Bieri, Lydia, et al.. (2011). Null asymptotics of solutions of\tthe Einstein–Maxwell equations in general relativity and gravitational radiation. Project Euclid (Cornell University). 23 indexed citations
11.
Wang, Yalin, Jie Shi, Xiaotian Yin, et al.. (2011). Brain Surface Conformal Parameterization With the Ricci Flow. IEEE Transactions on Medical Imaging. 31(2). 251–264. 57 indexed citations
12.
Gu, Xianfeng, Feng Luo, & Shing-Tung Yau. (2010). Fundamentals of Computational Conformal Geometry. Mathematics in Computer Science. 4(4). 389–429. 18 indexed citations
13.
Huang, Wen-ling, Shing-Tung Yau, & Xiao Zhang. (2006). Positivity of the Bondi mass in Bondi's radiating spacetimes. Rendiconti Lincei Matematica e Applicazioni. 17(4). 335–349. 8 indexed citations
14.
Gu, Xianfeng, Yalin Wang, Tony F. Chan, Paul M. Thompson, & Shing-Tung Yau. (2003). Genus Zero Surface Conformal Mapping and Its Application to Brain Surface Mapping. Lecture notes in computer science. 18. 172–184. 56 indexed citations
15.
Finster, Felix, Joel Smoller, & Shing-Tung Yau. (2000). The interaction of Dirac particles with non-abelian gauge fields and gravity – bound states. Nuclear Physics B. 584(1-2). 387–414. 14 indexed citations
16.
Finster, Felix, Joel Smoller, & Shing-Tung Yau. (2000). Some recent progress in classical general relativity. Journal of Mathematical Physics. 41(6). 3943–3963. 2 indexed citations
17.
Finster, Felix, Joel Smoller, & Shing-Tung Yau. (1999). THE COUPLING OF GRAVITY TO SPIN AND ELECTROMAGNETISM. Modern Physics Letters A. 14(16). 1053–1057. 8 indexed citations
18.
Finster, Felix, Joel Smoller, & Shing-Tung Yau. (1999). Particle-like solutions of the Einstein–Dirac–Maxwell equations. Physics Letters A. 259(6). 431–436. 40 indexed citations
19.
Schoen, Richard & Shing-Tung Yau. (1981). Proof of the positive mass theorem. II. Communications in Mathematical Physics. 79(2). 231–260. 411 indexed citations
20.
Schoen, Richard & Shing-Tung Yau. (1979). On the proof of the positive mass conjecture in general relativity. Communications in Mathematical Physics. 65(1). 45–76. 689 indexed citations breakdown →

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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