Shing‐Tung Yau

4.3k citations
52 papers · 2.5k indexed · 1 hit paper · h-index 19
Topics
Optical measurement and interference techniques (14 papers)Advanced Vision and Imaging (11 papers)Image Processing Techniques and Applications (7 papers)

In The Last Decade

Shing‐Tung Yau

52 papers receiving 2.3k citations

Hit Papers

Harmonic functions on complete riemannian manifolds19752026199220091975250500750

Peers

Shing‐Tung Yau
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 1.1k
  • Applied Mathematics 815
  • Geometry and Topology 698
  • Media Technology 440
  • Mechanical Engineering 403
Replace N. Chernov with:
N. Chernov United States
Charles Kenney United States
P. J. Giblin United Kingdom
Stephen J. Sangwine United Kingdom
Ulrich Pinkall Germany
Carlos A. Berenstein United States
Michael Spivak United States
Satyanad Kichenassamy France
P.E. Crouch United States
Klaus Höllig Germany
Shing‐Tung Yau relative to N. Chernov United States N. Chernov's profile →
Citations per field
00.5×7.1×
N. Chernov · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 33
3 3
4 197
5 15
6 18
7 1
8 3
9 157
10 8
11 230
12 211
13 2
14 1
15 130
16 5
17 6
18 30
19 2
20 13

About Shing‐Tung Yau

Shing‐Tung Yau is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (14 papers), Advanced Vision and Imaging (11 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Geometry and Topology (698 citations), Applied Mathematics (815 citations) and Computer Vision and Pattern Recognition (1.1k citations). Shing‐Tung Yau has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Song Zhang, Fan Chung, Xiaolin Li, Xianfeng Gu, Karen Uhlenbeck, Stephen S.‐T. Yau, Lok Ming Lui, Alexander Grigorʼyan, Ka Chun Lam and Joel Smoller. Their work appears in journals such as Optics Express, ACM Transactions on Graphics and International Journal of Computer Vision.

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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