T.S. Dai

5.8k total citations
4 papers, 13 citations indexed

About

T.S. Dai is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Molecular Biology. According to data from OpenAlex, T.S. Dai has authored 4 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Mechanics, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Molecular Biology. Recurrent topics in T.S. Dai's work include Advanced Numerical Analysis Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers) and Pulmonary Hypertension Research and Treatments (1 paper). T.S. Dai is often cited by papers focused on Advanced Numerical Analysis Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers) and Pulmonary Hypertension Research and Treatments (1 paper). T.S. Dai collaborates with scholars based in China. T.S. Dai's co-authors include Mengmeng Guo, Xin Li, Lin Xu, Yidan Liang, Ligang Liu, Xiao‐Ming Fu, Ying He, Lin Xu, Xin Li and Guangqin Li and has published in prestigious journals such as ACM Transactions on Graphics, Pharmacological Research and Frontiers in Cell and Developmental Biology.

In The Last Decade

T.S. Dai

4 papers receiving 13 citations

Peers

T.S. Dai
Antony Michealraj United States
Karin Brown United States
Colin R. Laughlin United States
Georges Coppin United States
Almut Luetge Switzerland
Melina Casadio United States
Brianna M. Tucker United States
T.S. Dai
Citations per year, relative to T.S. Dai T.S. Dai (= 1×) peers Krzysztof Jamroziak

Countries citing papers authored by T.S. Dai

Since Specialization
Citations

This map shows the geographic impact of T.S. Dai'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 T.S. Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.S. Dai more than expected).

Fields of papers citing papers by T.S. Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.S. Dai. 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 T.S. Dai. The network helps show where T.S. Dai may publish in the future.

Co-authorship network of co-authors of T.S. Dai

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

All Works

4 of 4 papers shown
1.
Dai, T.S., et al.. (2025). Polynomial 2D Biharmonic Coordinates for High-order Cages. ACM Transactions on Graphics. 44(4). 1–10. 1 indexed citations
2.
Dai, T.S., Yidan Liang, Xin Li, et al.. (2025). Targeting alveolar epithelial cell metabolism in pulmonary fibrosis: Pioneering an emerging therapeutic strategy. Frontiers in Cell and Developmental Biology. 13. 1608750–1608750. 1 indexed citations
3.
Liang, Yidan, et al.. (2024). A review of KLF4 and inflammatory disease: Current status and future perspective. Pharmacological Research. 207. 107345–107345. 9 indexed citations
4.
He, Ying, Qing Fang, Zheng Zhang, et al.. (2024). Symmetric Piecewise Developable Approximations. Computer Graphics Forum. 43(7). 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026