Chenlei Leng

3.6k total citations
75 papers, 2.1k citations indexed

About

Chenlei Leng is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chenlei Leng has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 19 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chenlei Leng's work include Statistical Methods and Inference (51 papers), Statistical Methods and Bayesian Inference (25 papers) and Advanced Statistical Methods and Models (19 papers). Chenlei Leng is often cited by papers focused on Statistical Methods and Inference (51 papers), Statistical Methods and Bayesian Inference (25 papers) and Advanced Statistical Methods and Models (19 papers). Chenlei Leng collaborates with scholars based in Singapore, United Kingdom and China. Chenlei Leng's co-authors include Hansheng Wang, Bo Li, Cheng Yong Tang, Yi Lin, Grace Wahba, Xiangyu Wang, Weiping Zhang, David J. Nott, Minh‐Ngoc Tran and Kenji Fukumizu and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Biometrika.

In The Last Decade

Chenlei Leng

74 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenlei Leng Singapore 22 1.4k 498 194 179 179 75 2.1k
Heng Peng China 18 1.3k 1.0× 478 1.0× 201 1.0× 103 0.6× 132 0.7× 59 2.0k
Heng Lian China 24 1.3k 1.0× 578 1.2× 112 0.6× 158 0.9× 157 0.9× 222 1.9k
Yanyuan Ma United States 23 1.4k 1.0× 397 0.8× 106 0.5× 77 0.4× 87 0.5× 137 1.9k
Jun Fan China 20 560 0.4× 361 0.7× 69 0.4× 173 1.0× 234 1.3× 91 2.1k
Shinto Eguchi Japan 26 734 0.5× 533 1.1× 155 0.8× 218 1.2× 76 0.4× 108 1.9k
Marten Wegkamp United States 16 613 0.4× 517 1.0× 82 0.4× 111 0.6× 137 0.8× 42 1.3k
Lixing Zhu China 27 2.5k 1.8× 627 1.3× 77 0.4× 105 0.6× 90 0.5× 190 3.0k
Lan Wang United States 19 1.0k 0.7× 337 0.7× 155 0.8× 47 0.3× 102 0.6× 60 1.5k
Vladimir Spokoiny Germany 25 1.3k 0.9× 679 1.4× 90 0.5× 334 1.9× 310 1.7× 107 2.7k

Countries citing papers authored by Chenlei Leng

Since Specialization
Citations

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

Fields of papers citing papers by Chenlei Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenlei Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Chenlei Leng. A scholar is included among the top collaborators of Chenlei Leng 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 Chenlei Leng. Chenlei Leng 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.
Hou, Meiting, Chenlei Leng, Man‐Miao Yang, et al.. (2024). Alpine and subalpine plant microbiome mediated plants adapt to the cold environment: A systematic review. Environmental Microbiome. 19(1). 82–82. 5 indexed citations
2.
Wang, Jiangtao, et al.. (2024). Automated echocardiographic diastolic function grading: A hybrid multi-task deep learning and machine learning approach. International Journal of Cardiology. 416. 132504–132504. 7 indexed citations
3.
Feng, Rui, et al.. (2024). A Sparse Beta Regression Model for Network Analysis. Journal of the American Statistical Association. 120(550). 1281–1293. 1 indexed citations
4.
Sugimoto, Cassidy R., et al.. (2023). Impact of geographic diversity on citation of collaborative research. Quantitative Science Studies. 4(2). 442–465. 10 indexed citations
5.
Ding, Xueyan, Miao Zhang, Weiwei Zhu, et al.. (2022). Association between left ventricular geometry and global myocardial work in patients with heart failure with preserved ejection fraction: assessment using strain-pressure loop. The International Journal of Cardiovascular Imaging. 39(2). 319–329. 5 indexed citations
6.
Leng, Chenlei, et al.. (2022). Fallacy of data‐selective inference in modelling networks. Stat. 11(1). 1 indexed citations
7.
Wang, Yu-Xiang, Huan Xu, & Chenlei Leng. (2019). Provable Subspace Clustering: When LRR Meets SSC. IEEE Transactions on Information Theory. 65(9). 5406–5432. 38 indexed citations
8.
Jiang, Binyan, Xiangyu Wang, & Chenlei Leng. (2018). A direct approach for sparse quadratic discriminant analysis. Journal of Machine Learning Research. 19(31). 1–37. 23 indexed citations
9.
Wang, Xiangyu, et al.. (2016). DECOrrelated feature space partitioning for distributed sparse regression. arXiv (Cornell University). 29. 802–810. 1 indexed citations
10.
Wang, Xiangyu & Chenlei Leng. (2015). High Dimensional Ordinary Least Squares Projection for Screening Variables. Journal of the Royal Statistical Society Series B (Statistical Methodology). 78(3). 589–611. 68 indexed citations
11.
Zhu, Changbo, Huan Xu, Chenlei Leng, & Shuicheng Yan. (2014). Convex Optimization Procedure for Clustering: Theoretical Revisit. Neural Information Processing Systems. 27. 1619–1627. 25 indexed citations
12.
Leng, Chenlei, Minh‐Ngoc Tran, & David J. Nott. (2013). Bayesian adaptive Lasso. Annals of the Institute of Statistical Mathematics. 66(2). 221–244. 86 indexed citations
13.
Fukumizu, Kenji & Chenlei Leng. (2012). Gradient-based kernel method for feature extraction and variable selection. National University of Singapore. 25. 2114–2122. 6 indexed citations
14.
Xu, Huan & Chenlei Leng. (2012). Robust Multi-task Regression with Grossly Corrupted Observations. International Conference on Artificial Intelligence and Statistics. 1341–1349. 4 indexed citations
15.
Leng, Chenlei, Hua Liang, & Neil Martinson. (2011). Parametric variable selection in generalized partially linear models with an application to assess condom use by HIV‐infected patients. Statistics in Medicine. 30(16). 2015–2027. 4 indexed citations
16.
Tang, Cheng Yong & Chenlei Leng. (2010). Penalized high-dimensional empirical likelihood. Biometrika. 97(4). 905–920. 69 indexed citations
17.
Leng, Chenlei & Bo Li. (2009). Least squares approximation with a diverging number of parameters. Statistics & Probability Letters. 80(3-4). 254–261. 8 indexed citations
18.
Xu, Jinfeng, Chenlei Leng, & Zhiliang Ying. (2009). Rank-based variable selection with censored data. Statistics and Computing. 20(2). 165–176. 21 indexed citations
19.
Leng, Chenlei & Shuangge Ma. (2007). Path consistent model selection in additive risk modelviaLasso. Statistics in Medicine. 26(20). 3753–3770. 23 indexed citations
20.
Leng, Chenlei & Hao Helen Zhang. (2006). Model selection in nonparametric hazard regression. Journal of nonparametric statistics. 18(7-8). 417–429. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026