Lek‐Heng Lim

6.0k total citations · 3 hit papers
52 papers, 3.1k citations indexed

About

Lek‐Heng Lim is a scholar working on Computational Theory and Mathematics, Computational Mathematics and Signal Processing. According to data from OpenAlex, Lek‐Heng Lim has authored 52 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 25 papers in Computational Mathematics and 11 papers in Signal Processing. Recurrent topics in Lek‐Heng Lim's work include Tensor decomposition and applications (25 papers), Matrix Theory and Algorithms (20 papers) and Sparse and Compressive Sensing Techniques (8 papers). Lek‐Heng Lim is often cited by papers focused on Tensor decomposition and applications (25 papers), Matrix Theory and Algorithms (20 papers) and Sparse and Compressive Sensing Techniques (8 papers). Lek‐Heng Lim collaborates with scholars based in United States, China and France. Lek‐Heng Lim's co-authors include Christopher J. Hillar, Pierre Comon, Ke Ye, Gene H. Golub, Bernard Mourrain, David F. Gleich, Berkant Savas, Xiaoye Jiang, Yinyu Ye and Yuan Yao and has published in prestigious journals such as NeuroImage, IEEE Transactions on Information Theory and Journal of the ACM.

In The Last Decade

Lek‐Heng Lim

48 papers receiving 2.9k citations

Hit Papers

Most Tensor Problems Are NP-Hard 2006 2026 2012 2019 2013 2008 2006 100 200 300 400 500
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.

  1. Most Tensor Problems Are NP-Hard
    2013 589 citations Lek‐Heng Lim et al. profile →
  2. Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem
    2008 534 citations Lek‐Heng Lim et al. SIAM Journal on Matrix Analysis and Applications profile →
  3. Singular Values and Eigenvalues of Tensors: A Variational Approach
    2006 505 citations Lek‐Heng Lim profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lek‐Heng Lim United States 19 2.1k 1.1k 849 496 415 52 3.1k
Lars Grasedyck Germany 25 1.0k 0.5× 1.0k 0.9× 781 0.9× 170 0.3× 108 0.3× 64 2.7k
Daniel Kreßner Switzerland 25 950 0.5× 1.5k 1.4× 738 0.9× 206 0.4× 120 0.3× 148 2.8k
Yangyang Xu United States 18 476 0.2× 313 0.3× 1.4k 1.6× 506 1.0× 309 0.7× 72 2.5k
P.-A. Absil Belgium 19 291 0.1× 812 0.7× 1.3k 1.5× 687 1.4× 395 1.0× 38 4.0k
Marc Van Barel Belgium 23 364 0.2× 1.3k 1.1× 419 0.5× 250 0.5× 281 0.7× 220 2.3k
Zheng‐Hai Huang China 27 1.1k 0.5× 1.6k 1.4× 492 0.6× 91 0.2× 99 0.2× 139 2.4k
Kejun Huang United States 18 922 0.4× 141 0.1× 680 0.8× 396 0.8× 545 1.3× 53 2.1k
Lars Eldén Sweden 26 303 0.1× 832 0.8× 585 0.7× 198 0.4× 176 0.4× 77 2.4k
Pierre-Antoine Absil Belgium 23 236 0.1× 526 0.5× 748 0.9× 327 0.7× 169 0.4× 84 2.0k
David P. Woodruff United States 28 263 0.1× 1.0k 0.9× 1.0k 1.2× 1.9k 3.7× 433 1.0× 186 3.1k

Countries citing papers authored by Lek‐Heng Lim

Since Specialization
Citations

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

Fields of papers citing papers by Lek‐Heng Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lek‐Heng Lim. 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 Lek‐Heng Lim. The network helps show where Lek‐Heng Lim may publish in the future.

Co-authorship network of co-authors of Lek‐Heng Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Lek‐Heng Lim. A scholar is included among the top collaborators of Lek‐Heng Lim 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 Lek‐Heng Lim. Lek‐Heng Lim 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.
Lim, Lek‐Heng & Ke Ye. (2025). Degree of the Grassmannian as an affine variety. Advances in Mathematics. 480. 110459–110459.
2.
Lim, Lek‐Heng & Bradley J. Nelson. (2023). What is... an Equivariant Neural Network?. Notices of the American Mathematical Society. 70(4). 1–1. 7 indexed citations
3.
Liu, Yucong, et al.. (2023). LU decomposition and Toeplitz decomposition of a neural network. Applied and Computational Harmonic Analysis. 68. 101601–101601. 2 indexed citations
4.
Thomas, B.S., Kisung You, Lizhen Lin, Lek‐Heng Lim, & Sayan Mukherjee. (2021). Learning Subspaces of Different Dimensions. Journal of Computational and Graphical Statistics. 31(2). 337–350.
5.
Lim, Lek‐Heng. (2020). Hodge Laplacians on Graphs. SIAM Review. 62(3). 685–715. 106 indexed citations
6.
Lim, Lek‐Heng, et al.. (2020). Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False. International Conference on Machine Learning. 1. 5608–5617. 1 indexed citations
7.
Comon, Pierre, Lek‐Heng Lim, Qi Yang, & Ke Ye. (2020). Topologie des rangs tensoriels. SPIRE - Sciences Po Institutional REpository. 6 indexed citations
8.
Lim, Lek‐Heng, et al.. (2019). Numerical Algorithms on the Affine Grassmannian. SIAM Journal on Matrix Analysis and Applications. 40(2). 371–393. 7 indexed citations
9.
Yang, Qi, Mateusz Michałek, & Lek‐Heng Lim. (2019). Complex best r-term approximations almost always exist in finite dimensions. Applied and Computational Harmonic Analysis. 49(1). 180–207. 7 indexed citations
10.
Yang, Qi, Mateusz Michałek, & Lek‐Heng Lim. (2017). Complex tensors almost always have best low-rank approximations. arXiv (Cornell University). 1 indexed citations
11.
Lim, Lek‐Heng, et al.. (2017). Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs. International Journal of Computer Assisted Radiology and Surgery. 12(8). 1257–1270. 12 indexed citations
12.
Ye, Ke & Lek‐Heng Lim. (2017). Cohomology of Cryo-Electron Microscopy. 1(1). 507–535. 7 indexed citations
13.
Rajkumar, Arun, et al.. (2015). Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. International Conference on Machine Learning. 665–673. 3 indexed citations
14.
Lim, Lek‐Heng & Pierre Comon. (2014). Blind Multilinear Identification. IEEE Transactions on Information Theory. 60(2). 1260–1280. 55 indexed citations
15.
Jiang, Xiaoye, Lek‐Heng Lim, Yuan Yao, & Yinyu Ye. (2010). Statistical ranking and combinatorial Hodge theory. Mathematical Programming. 127(1). 203–244. 177 indexed citations
16.
Lim, Lek‐Heng & Pierre Comon. (2010). Multiarray signal processing: Tensor decomposition meets compressed sensing. Comptes Rendus Mécanique. 338(6). 311–320. 65 indexed citations
17.
Jiang, Xiaoye, Lek‐Heng Lim, Yuan Yao, & Yinyu Ye. (2008). Learning to rank with combinatorial Hodge theory. arXiv (Cornell University). 4 indexed citations
18.
Mørup, Morten, Lars Kai Hansen, Sidse Arnfred, Lek‐Heng Lim, & Kristoffer H. Madsen. (2008). Shift-invariant multilinear decomposition of neuroimaging data. NeuroImage. 42(4). 1439–1450. 64 indexed citations
19.
Mahoney, Michael W., Lek‐Heng Lim, & Gunnar Carlsson. (2008). Algorithmic and statistical challenges in modern largescale data analysis are the focus of MMDS 2008. ACM SIGKDD Explorations Newsletter. 10(2). 57–60. 7 indexed citations
20.
Golub, Gene H., Gunnar Carlsson, & Lek‐Heng Lim. (2007). Foundations of numerical multilinear algebra: decomposition and approximation of tensors. 17 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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