Tiankai Tu

1.0k total citations
23 papers, 677 citations indexed

About

Tiankai Tu is a scholar working on Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Tiankai Tu has authored 23 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 10 papers in Computer Graphics and Computer-Aided Design and 7 papers in Signal Processing. Recurrent topics in Tiankai Tu's work include Parallel Computing and Optimization Techniques (7 papers), Computational Geometry and Mesh Generation (7 papers) and Data Management and Algorithms (7 papers). Tiankai Tu is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Computational Geometry and Mesh Generation (7 papers) and Data Management and Algorithms (7 papers). Tiankai Tu collaborates with scholars based in United States, China and Singapore. Tiankai Tu's co-authors include David R. O’Hallaron, Omar Ghattas, Jacobo Bielak, L. Ramirez-Guzmán, Kwan‐Liu Ma, Hongfeng Yu, Carsten Burstedde, Georg Stadler, Julio López and Lucas C. Wilcox and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Engineering With Computers and Journal of Physics Conference Series.

In The Last Decade

Tiankai Tu

20 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tiankai Tu United States	14	217	158	158	154	97	23	677
Dominik Göddeke Germany	16	198 0.9×	62 0.4×	55 0.3×	303 2.0×	305 3.1×	36	773
William L. Barth United States	12	314 1.4×	16 0.1×	62 0.4×	87 0.6×	104 1.1×	31	533
André R. Brodtkorb Norway	8	151 0.7×	37 0.2×	16 0.1×	148 1.0×	141 1.5×	23	615
Terry J. Ligocki United States	13	87 0.4×	121 0.8×	17 0.1×	306 2.0×	59 0.6×	28	641
Patrick McCormick United States	12	270 1.2×	185 1.2×	7 0.0×	164 1.1×	266 2.7×	46	694
Patrick O’Leary United States	10	162 0.7×	112 0.7×	12 0.1×	30 0.2×	63 0.6×	23	406
Osamu Tatebe Japan	5	110 0.5×	17 0.1×	18 0.1×	108 0.7×	85 0.9×	8	414
Jennifer K. Ryan United States	19	102 0.5×	63 0.4×	83 0.5×	575 3.7×	9 0.1×	63	941
Gabriele Jost United States	9	370 1.7×	25 0.2×	10 0.1×	77 0.5×	356 3.7×	26	670
Trond Runar Hagen Norway	8	133 0.6×	49 0.3×	6 0.0×	103 0.7×	121 1.2×	11	500

Countries citing papers authored by Tiankai Tu

Since Specialization

Citations

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

Fields of papers citing papers by Tiankai Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiankai Tu

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

All Works

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20 of 20 papers shown

Tu, Tiankai, et al.. (2025). VibeMus: Proactive Agentic System for Music Personalization. 1–3.

Tu, Tiankai, et al.. (2018). Etree: A Database-Oriented Method for Generating Large Octree Meshes. Figshare. 127–138. 4 indexed citations

Tu, Tiankai & David R. O’Hallaron. (2018). Balance Refinement of Massive Linear Octree Datasets. Figshare.

Tu, Tiankai, David R. O’Hallaron, & Julio López. (2018). The Etree Library: A System for Manipulating Large Octrees on Disk. Figshare. 3 indexed citations

Tu, Tiankai & David R. O’Hallaron. (2018). Extracting Hexahedral Mesh Structures from Balanced Linear Octrees. Figshare. 191–200.

Tu, Tiankai, Charles A. Rendleman, Patrick J. O. Miller, et al.. (2010). Accelerating parallel analysis of scientific simulation data via Zazen. File and Storage Technologies. 10–10. 18 indexed citations

Burstedde, Carsten, Omar Ghattas, Georg Stadler, Tiankai Tu, & Lucas C. Wilcox. (2009). Parallel scalable adjoint-based adaptive solution of variable-viscosity Stokes flow problems. Computer Methods in Applied Mechanics and Engineering. 198(21-26). 1691–1700. 57 indexed citations

Burstedde, Carsten, Martin Burtscher, Omar Ghattas, et al.. (2009). ALPS:A framework for parallel adaptive PDE solution. Journal of Physics Conference Series. 180. 12009–12009. 13 indexed citations

Tu, Tiankai, Charles A. Rendleman, David W. Borhani, et al.. (2008). A scalable parallel framework for analyzing terascale molecular dynamics simulation trajectories. IEEE International Conference on High Performance Computing, Data, and Analytics. 56. 36 indexed citations

10.

O’Hallaron, David R. & Tiankai Tu. (2008). A scalable database approach to computing delaunay triangulations. 1 indexed citations

11.

Burstedde, Carsten, Omar Ghattas, Michael Gurnis, et al.. (2008). Scalable adaptive mantle convection simulation on petascale supercomputers. 1–15. 30 indexed citations

12.

Burstedde, Carsten, et al.. (2008). Towards adaptive mesh PDE simulations on petascale computers. 22 indexed citations

13.

Papadomanolakis, Stratos, Anastassia Ailamaki, Julio López, et al.. (2006). Efficient query processing on unstructured tetrahedral meshes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 551–562. 21 indexed citations

14.

Tu, Tiankai, Hongfeng Yu, L. Ramirez-Guzmán, et al.. (2006). From Mesh Generation to Scientific Visualization: An End-to-End Approach to Parallel Supercomputing. 12–12. 76 indexed citations

15.

Tu, Tiankai, Ricardo Taborda, Hongfeng Yu, et al.. (2006). Analytics challenge---Remote runtime steering of integrated terascale simulation and visualization. 297–297. 27 indexed citations

16.

Tu, Tiankai, Hongfeng Yu, L. Ramirez-Guzmán, et al.. (2006). Scalable systems software---From mesh generation to scientific visualization. 91–91. 102 indexed citations

17.

Tu, Tiankai & David R. O’Hallaron. (2005). A Computational Database System for Generatinn Unstructured Hexahedral Meshes with Billions of Elements. 25–25. 14 indexed citations

18.

Tu, Tiankai, David R. O’Hallaron, & Omar Ghattas. (2005). Scalable Parallel Octree Meshing for TeraScale Applications. 4–4. 67 indexed citations

19.

Tu, Tiankai & David R. O’Hallaron. (2004). Balance Refinement of Massive Linear Octrees. 6 indexed citations

20.

Akçelik, V., Jacobo Bielak, George Biros, et al.. (2003). High Resolution Forward And Inverse Earthquake Modeling on Terascale Computers. 52–52. 130 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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