Rongjie Lai

1.8k total citations
60 papers, 1.0k citations indexed

About

Rongjie Lai is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rongjie Lai has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 25 papers in Computational Mechanics and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rongjie Lai's work include 3D Shape Modeling and Analysis (17 papers), Medical Image Segmentation Techniques (16 papers) and Advanced Numerical Analysis Techniques (14 papers). Rongjie Lai is often cited by papers focused on 3D Shape Modeling and Analysis (17 papers), Medical Image Segmentation Techniques (16 papers) and Advanced Numerical Analysis Techniques (14 papers). Rongjie Lai collaborates with scholars based in United States, China and Hong Kong. Rongjie Lai's co-authors include Stanley Osher, Arthur W. Toga, Yonggang Shi, C.‐C. Jay Kuo, Jiangyang Zhang, Vidvuds Ozoliņš, Tony F. Chan, Russel E. Caflisch, Ivo D. Dinov and Nancy L. Sicotte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and IEEE Transactions on Information Theory.

In The Last Decade

Rongjie Lai

59 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rongjie Lai United States 18 399 396 134 130 121 60 1.0k
Nicolas Bonneel France 16 669 1.7× 182 0.5× 104 0.8× 27 0.2× 291 2.4× 43 1.2k
Li Xiao China 21 270 0.7× 162 0.4× 133 1.0× 136 1.0× 92 0.8× 95 1.4k
Stanley H. Chan United States 21 1.0k 2.6× 258 0.7× 67 0.5× 161 1.2× 19 0.2× 95 1.7k
Leonid Zhukov United States 18 161 0.4× 66 0.2× 145 1.1× 277 2.1× 67 0.6× 50 1.0k
Fiorella Sgallari Italy 22 629 1.6× 555 1.4× 48 0.4× 208 1.6× 30 0.2× 89 1.7k
Laure Blanc‐Féraud France 17 774 1.9× 426 1.1× 62 0.5× 158 1.2× 17 0.1× 65 1.4k
Anil N. Hirani United States 14 222 0.6× 469 1.2× 16 0.1× 43 0.3× 318 2.6× 30 894
Issei Fujishiro Japan 19 810 2.0× 289 0.7× 127 0.9× 37 0.3× 548 4.5× 156 1.3k
Olivier Lézoray France 19 958 2.4× 207 0.5× 51 0.4× 107 0.8× 109 0.9× 95 1.5k
Leo Dorst Netherlands 20 615 1.5× 187 0.5× 51 0.4× 25 0.2× 130 1.1× 65 1.3k

Countries citing papers authored by Rongjie Lai

Since Specialization
Citations

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

Fields of papers citing papers by Rongjie Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongjie Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Rongjie Lai. A scholar is included among the top collaborators of Rongjie Lai 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 Rongjie Lai. Rongjie Lai 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.
Zhang, Yafei, et al.. (2025). Design of Electronic Nose Based on MOS Gas Sensors and Its Application in Juice Identification. Sensors. 25(4). 1205–1205. 2 indexed citations
2.
Liu, Hao, et al.. (2024). Generalization error guaranteed auto-encoder-based nonlinear model reduction for operator learning. Applied and Computational Harmonic Analysis. 74. 101717–101717. 3 indexed citations
3.
Wang, Dayang, Fenglei Fan, Bojian Hou, et al.. (2024). Manifoldron: Direct Space Partition via Manifold Discovery. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 12311–12325.
4.
Huang, Han, et al.. (2023). Bridging mean-field games and normalizing flows with trajectory regularization. Journal of Computational Physics. 487. 112155–112155. 4 indexed citations
5.
Lai, Rongjie, et al.. (2023). Computational mean-field games on manifolds. Journal of Computational Physics. 484. 112070–112070. 3 indexed citations
6.
Lai, Rongjie, et al.. (2023). A fast proximal gradient method and convergence analysis for dynamic mean field planning. Mathematics of Computation. 93(346). 603–642. 2 indexed citations
7.
Dong, Bin, et al.. (2022). Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data. SIAM Journal on Imaging Sciences. 15(1). 367–386. 3 indexed citations
8.
Lai, Rongjie, et al.. (2021). NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Networks on Point Clouds. Journal of Scientific Computing. 90(1). 1 indexed citations
9.
Chen, Zhiqian, Feng Chen, Rongjie Lai, Xuchao Zhang, & Chang‐Tien Lu. (2018). Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. 59–68. 12 indexed citations
10.
Lai, Rongjie & Jianfeng Lu. (2018). Point Cloud Discretization of Fokker--Planck Operators for Committor Functions. Multiscale Modeling and Simulation. 16(2). 710–726. 14 indexed citations
11.
Lai, Rongjie & Li Jia. (2017). Manifold Based Low-Rank Regularization for Image Restoration and Semi-Supervised Learning. Journal of Scientific Computing. 74(3). 1241–1263. 10 indexed citations
12.
Lai, Rongjie & Stanley Osher. (2013). A Splitting Method for Orthogonality Constrained Problems. Journal of Scientific Computing. 58(2). 431–449. 118 indexed citations
13.
Ozoliņš, Vidvuds, Rongjie Lai, Russel E. Caflisch, & Stanley Osher. (2013). Compressed modes for variational problems in mathematics and physics. Proceedings of the National Academy of Sciences. 110(46). 18368–18373. 87 indexed citations
14.
Shi, Yonggang, Rongjie Lai, & Arthur W. Toga. (2012). Cortical Surface Reconstruction via Unified Reeb Analysis of Geometric and Topological Outliers in Magnetic Resonance Images. IEEE Transactions on Medical Imaging. 32(3). 511–530. 22 indexed citations
15.
Shi, Yonggang, Rongjie Lai, & Arthur W. Toga. (2011). CoRPORATE: Cortical Reconstruction by Pruning Outliers with Reeb Analysis and Topology-Preserving Evolution. Lecture notes in computer science. 22. 233–244. 7 indexed citations
16.
Shi, Yonggang, Rongjie Lai, Daniel Pelletier, et al.. (2011). Conformal Metric Optimization on Surface (CMOS) for Deformation and Mapping in Laplace-Beltrami Embedding Space. Lecture notes in computer science. 14(Pt 2). 327–334. 16 indexed citations
17.
Shi, Yonggang, Rongjie Lai, Jonathan H. Morra, et al.. (2010). Robust Surface Reconstruction via Laplace-Beltrami Eigen-Projection and Boundary Deformation. IEEE Transactions on Medical Imaging. 29(12). 2009–2022. 40 indexed citations
18.
Shi, Yonggang, Bo Sun, Rongjie Lai, Ivo D. Dinov, & Arthur W. Toga. (2010). Automated Sulci Identification via Intrinsic Modeling of Cortical Anatomy. Lecture notes in computer science. 13(Pt 3). 49–56. 7 indexed citations
19.
Lai, Rongjie, Yonggang Shi, Ivo D. Dinov, Tony F. Chan, & Arthur W. Toga. (2009). Laplace-Beltrami nodal counts: A new signature for 3D shape analysis. PubMed. 2009. 694–697. 23 indexed citations
20.
Shi, Yonggang, Rongjie Lai, Sheila Krishna, et al.. (2008). Anisotropic Laplace-Beltrami eigenmaps: Bridging Reeb graphs and skeletons. PubMed. 2008. 1–7. 46 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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