Lingchen Kong

861 total citations
55 papers, 564 citations indexed

About

Lingchen Kong is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Lingchen Kong has authored 55 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 12 papers in Computational Theory and Mathematics and 10 papers in Numerical Analysis. Recurrent topics in Lingchen Kong's work include Sparse and Compressive Sensing Techniques (29 papers), Advanced Optimization Algorithms Research (10 papers) and Optimization and Variational Analysis (9 papers). Lingchen Kong is often cited by papers focused on Sparse and Compressive Sensing Techniques (29 papers), Advanced Optimization Algorithms Research (10 papers) and Optimization and Variational Analysis (9 papers). Lingchen Kong collaborates with scholars based in China, Canada and United States. Lingchen Kong's co-authors include Naihua Xiu, Jie Sun, Levent Tunçel, Yu Li, Jun Fan, Wei Feng, Hui Zou, Shixue Zhang, Shiqian Ma and Cong Peng and has published in prestigious journals such as Nature Communications, Energy & Environmental Science and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Lingchen Kong

52 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingchen Kong China 11 169 154 151 126 90 55 564
George M. Phillips United Kingdom 7 214 1.3× 220 1.4× 117 0.8× 51 0.4× 220 2.4× 12 640
Dirk Nuyens Belgium 13 419 2.5× 149 1.0× 119 0.8× 28 0.2× 45 0.5× 43 702
Eskil Hansen Sweden 13 268 1.6× 155 1.0× 334 2.2× 78 0.6× 15 0.2× 39 687
Mohammed Yusuf Waziri Nigeria 19 763 4.5× 452 2.9× 264 1.7× 39 0.3× 56 0.6× 107 1.1k
Alvaro R. De Pierro Brazil 15 229 1.4× 179 1.2× 238 1.6× 34 0.3× 11 0.1× 45 583
Horst Martini Germany 16 80 0.5× 205 1.3× 314 2.1× 129 1.0× 35 0.4× 179 1.4k
Stefania Bellavia Italy 15 446 2.6× 303 2.0× 366 2.4× 29 0.2× 15 0.2× 53 699
Yannan Chen China 14 79 0.5× 125 0.8× 224 1.5× 98 0.8× 7 0.1× 40 638
N. J. Young United Kingdom 19 87 0.5× 35 0.2× 205 1.4× 38 0.3× 24 0.3× 88 1.2k
Chen Ling China 16 254 1.5× 109 0.7× 455 3.0× 92 0.7× 7 0.1× 41 739

Countries citing papers authored by Lingchen Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingchen Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingchen Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Lingchen Kong. A scholar is included among the top collaborators of Lingchen Kong 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 Lingchen Kong. Lingchen Kong 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.
Kong, Lingchen, et al.. (2025). Achieving burst Li+ channels via quasi-two-dimensional fluorinated metal-organic framework modulating functionalized interface. Nature Communications. 16(1). 1885–1885. 16 indexed citations
2.
Zhao, Hongxin & Lingchen Kong. (2024). Penalty method for the sparse portfolio optimization problem. Journal of Industrial and Management Optimization. 20(9). 2864–2884. 1 indexed citations
3.
Wang, Yingxiao, Lingchen Kong, & Houduo Qi. (2024). An efficient Lagrange–Newton algorithm for long-only cardinality constrained portfolio selection on real data sets. Journal of Computational and Applied Mathematics. 461. 116453–116453.
4.
Zhang, Shixue, et al.. (2024). Elucidating the effects of the carbon source on fluorination kinetics and the CFx structure to tailor the energy density of Li/CFx. Journal of Materials Chemistry A. 13(3). 1820–1829. 1 indexed citations
5.
Peng, Cong, et al.. (2023). Fluorinated Carbon Nanohorns as Cathode Materials for Ultra‐High Power Li/CFx Batteries. Small Methods. 8(3). e2301090–e2301090. 11 indexed citations
6.
Kong, Lingchen, et al.. (2022). Nonconvex clustering via ℓ0 fusion penalized regression. Pattern Recognition. 128. 108689–108689. 5 indexed citations
7.
Zhou, Ning, Bing Chen, Qian Zhang, et al.. (2021). Numerical Simulation of Leakage and Diffusion Process of LNG Storage Tanks. Energies. 14(19). 6282–6282. 6 indexed citations
8.
Kong, Lingchen, et al.. (2021). Variable selection and collinearity processing for multivariate data via row-elastic-net regularization. AStA Advances in Statistical Analysis. 106(1). 79–96. 1 indexed citations
9.
Kong, Lingchen, et al.. (2020). A Novel Convex Clustering Method for High-Dimensional Data Using Semiproximal ADMM. Mathematical Problems in Engineering. 2020. 1–12. 2 indexed citations
10.
Liu, Yanqing, et al.. (2018). Fused LASSO penalized least absolute deviation estimator for high dimensional linear regression. Numerical Algebra Control and Optimization. 8(1). 97–117. 6 indexed citations
11.
Fan, Jun, Lingchen Kong, Liqun Wang, & Naihua Xiu. (2017). Variable Selection in Sparse Regression with Quadratic Measurements. Statistica Sinica. 5 indexed citations
12.
Fan, Jun, et al.. (2017). ADMM for High-Dimensional Sparse Penalized Quantile Regression. Technometrics. 60(3). 319–331. 86 indexed citations
13.
Xiu, Naihua, et al.. (2015). A NOTE ON THE GRADIENT PROJECTION METHOD WITH EXACT STEPSIZE RULE *1). 4 indexed citations
14.
Kong, Lingchen, et al.. (2015). Rank-one and sparse matrix decomposition for dynamic MRI. Numerical Algebra Control and Optimization. 5(2). 127–134. 1 indexed citations
15.
Kong, Lingchen, Jie Sun, & Naihua Xiu. (2014). S-semigoodness for Low-Rank Semidefinite Matrix Recovery. eSpace (Curtin University). 10(1). 73–83. 1 indexed citations
16.
Kong, Lingchen, Jie Sun, Jiyuan Tao, & Naihua Xiu. (2014). Sparse recovery on Euclidean Jordan algebras. Linear Algebra and its Applications. 465. 65–87. 2 indexed citations
17.
Kong, Lingchen, Naihua Xiu, & Guokai Liu. (2013). Partial $S$-goodness for partially sparse signal recovery. Numerical Algebra Control and Optimization. 4(1). 25–38. 1 indexed citations
18.
Kong, Lingchen, Levent Tunçel, & Naihua Xiu. (2013). s-Goodness for Low-Rank Matrix Recovery. Abstract and Applied Analysis. 2013. 1–9. 3 indexed citations
19.
Luo, Ziyan, et al.. (2013). The Nonnegative Zero-Norm Minimization Under Generalized Z-Matrix Measurement. Journal of Optimization Theory and Applications. 160(3). 854–864. 8 indexed citations
20.
Luo, Ziyan, Naihua Xiu, & Lingchen Kong. (2012). Lyapunov-type least-squares problems over symmetric cones. Linear Algebra and its Applications. 437(10). 2498–2515. 1 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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2026