Hang Si

3.6k total citations · 2 hit papers
46 papers, 2.1k citations indexed

About

Hang Si is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Hang Si has authored 46 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Graphics and Computer-Aided Design, 24 papers in Computational Mechanics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Hang Si's work include Computational Geometry and Mesh Generation (31 papers), Computer Graphics and Visualization Techniques (16 papers) and 3D Shape Modeling and Analysis (15 papers). Hang Si is often cited by papers focused on Computational Geometry and Mesh Generation (31 papers), Computer Graphics and Visualization Techniques (16 papers) and 3D Shape Modeling and Analysis (15 papers). Hang Si collaborates with scholars based in Germany, United States and China. Hang Si's co-authors include Klaus Gärtner, Marco Reisert, Qianqian Fang, Johannes Vorwerk, Thushara Perera, Fang‐Cheng Yeh, Wolf‐Julian Neumann, Chris Rorden, Andreas Horn and Siobhán Ewert and has published in prestigious journals such as NeuroImage, Computer Methods in Applied Mechanics and Engineering and Advanced Science.

In The Last Decade

Hang Si

43 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

TetGen, a Delaunay-Based Quality Tetrahedral Mesh Generator

2015 1.1k citations Hang Si profile →
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging

2018 474 citations Andreas Horn, Ningfei Li et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Si Germany	13	629	491	441	236	227	46	2.1k
Marie E. Rognes Norway	18	876 1.4×	69 0.1×	162 0.4×	331 1.4×	120 0.5×	60	2.6k
Gilles Bertrand France	34	224 0.4×	307 0.6×	847 1.9×	352 1.5×	576 2.5×	204	4.0k
Peter Hastreiter Germany	25	161 0.3×	261 0.5×	490 1.1×	161 0.7×	1.2k 5.4×	70	2.5k
Kent‐André Mardal Norway	34	1.2k 1.9×	32 0.1×	1.2k 2.6×	1.6k 6.8×	473 2.1×	103	4.7k
Christian Barillot France	34	308 0.5×	151 0.3×	185 0.4×	116 0.5×	1.7k 7.4×	201	4.5k
C.-F. Westin United States	23	219 0.3×	174 0.4×	485 1.1×	93 0.4×	2.4k 10.6×	41	3.9k
Gordon Kindlmann United States	36	852 1.4×	1.6k 3.2×	152 0.3×	58 0.2×	2.0k 8.6×	73	4.6k
Benjamin Kehlet Norway	5	427 0.7×	41 0.1×	92 0.2×	174 0.7×	81 0.4×	9	1.5k
Xavier Tricoche United States	21	438 0.7×	611 1.2×	25 0.1×	37 0.2×	251 1.1×	58	1.5k
Marc Niethammer United States	33	320 0.5×	82 0.2×	72 0.2×	68 0.3×	1.7k 7.3×	179	5.1k

Countries citing papers authored by Hang Si

Since Specialization

Citations

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

Fields of papers citing papers by Hang Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Si

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Si, Hang, Weihua Jiang, & G.Y. Li. (2025). SOLVABILITY OF HILFER FRACTIONAL DIFFERENTIAL EQUATIONS WITH INTEGRAL BOUNDARY CONDITIONS AT RESONANCE IN $ \mathbb{R}^M $. Journal of Applied Analysis & Computation. 15(1). 39–55.

2.

Li, Jiang, Qi‐Dong Xia, Can Di, et al.. (2023). Tumor Cell‐Intrinsic CD96 Mediates Chemoresistance and Cancer Stemness by Regulating Mitochondrial Fatty Acid β‐Oxidation (Adv. Sci. 7/2023). Advanced Science. 10(7). 1 indexed citations

3.

Erkoç, Ziya, Uğur Güdükbay, & Hang Si. (2023). Memory-efficient boundary-preserving tetrahedralization of large three-dimensional meshes. Engineering With Computers. 40(2). 867–883. 1 indexed citations

4.

Lei, Na, Yiming Zhu, Xiaopeng Zheng, et al.. (2023). Why cross fields are not equivalent to quadrilateral meshes. Computer Methods in Applied Mechanics and Engineering. 417. 116442–116442. 2 indexed citations

5.

Li, Bin, et al.. (2020). Parallel hybrid mesh adaptation by refinement and coarsening. Graphical Models. 111. 101084–101084. 10 indexed citations

6.

Li, Shujie, Lili Ju, & Hang Si. (2020). Adaptive Exponential Time Integration of the Navier-Stokes Equations. AIAA Scitech 2020 Forum. 1 indexed citations

7.

Horn, Andreas, Ningfei Li, Till A. Dembek, et al.. (2018). Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging. NeuroImage. 184. 293–316. 474 indexed citations breakdown →

8.

Si, Hang, et al.. (2017). On Tetrahedralisations Containing Knotted and Linked Line Segments. Procedia Engineering. 203. 323–335.

9.

Dassi, Franco, Patricio Farrell, & Hang Si. (2017). A Novel Surface Remeshing Scheme via Radial Basis Functions and Higher-Dimensional Embedding. SIAM Journal on Scientific Computing. 39(3). B522–B547. 3 indexed citations

10.

Chen, Jianjun, et al.. (2017). Improved boundary constrained tetrahedral mesh generation by shell transformation. Applied Mathematical Modelling. 51. 764–790. 12 indexed citations

11.

Dassi, Franco, Patricio Farrell, & Hang Si. (2016). A novel surface remeshing scheme via higher dimensional embedding and radial basis functions. TIB Repositorium. 2 indexed citations

12.

Chen, Jianjun, et al.. (2016). Tetrahedral mesh improvement by shell transformation. Engineering With Computers. 33(3). 393–414. 16 indexed citations

13.

Si, Hang, et al.. (2016). On Tetrahedralisations of Reduced Chazelle Polyhedra with Interior Steiner Points. Procedia Engineering. 163. 33–45. 1 indexed citations

14.

Si, Hang, et al.. (2015). On indecomposable polyhedra and the number of interior Steiner points. Open MIND. 1 indexed citations

15.

Huang, Weizhang, et al.. (2015). Mesh smoothing: An MMPDE approach. Open MIND. 5 indexed citations

16.

Si, Hang. (2013). TetGen, towards a quality tetrahedral mesh generator. Open MIND. 1 indexed citations

17.

Si, Hang & Jonathan Richard Shewchuk. (2013). Incrementally constructing and updating constrained Delaunay tetrahedralizations with finite-precision coordinates. Engineering With Computers. 30(2). 253–269. 16 indexed citations

18.

Si, Hang, et al.. (2012). The surface effect on the p-type conductivity of Li-doped ZnO film. Acta Physica Sinica. 61(15). 157301–157301. 2 indexed citations

19.

Wolters, Carsten H., et al.. (2009). A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation. NeuroImage. 46(4). 1055–1065. 42 indexed citations

20.

Si, Hang. (2002). TetGen. A 3D Delaunay tetrahedral mesh generator. v.1.2 Users manual. Weierstraß-Institut für Angewandte Analysis und Stochastik. 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.

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