Linglong Kong

1.2k total citations
68 papers, 623 citations indexed

About

Linglong Kong is a scholar working on Statistics and Probability, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Linglong Kong has authored 68 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Linglong Kong's work include Statistical Methods and Inference (24 papers), Advanced Statistical Methods and Models (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Linglong Kong is often cited by papers focused on Statistical Methods and Inference (24 papers), Advanced Statistical Methods and Models (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Linglong Kong collaborates with scholars based in Canada, China and United States. Linglong Kong's co-authors include Hongtu Zhu, Ivan Mizera, Bei Jiang, Di Niu, Weili Lin, Yijun Zuo, John H. Gilmore, Martin Styner, Guido Gerig and Runze Li and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and NeuroImage.

In The Last Decade

Linglong Kong

60 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linglong Kong Canada 16 208 118 82 49 45 68 623
Jinzhu Jia China 15 97 0.5× 110 0.9× 47 0.6× 166 3.4× 41 0.9× 71 840
Pierre Lafaye de Micheaux France 16 231 1.1× 83 0.7× 57 0.7× 104 2.1× 7 0.2× 45 702
Mauro Gasparini Italy 18 279 1.3× 92 0.8× 96 1.2× 134 2.7× 10 0.2× 61 1.1k
Yun Yang United States 14 406 2.0× 391 3.3× 23 0.3× 20 0.4× 6 0.1× 39 905
Longhai Li Canada 13 125 0.6× 103 0.9× 31 0.4× 84 1.7× 7 0.2× 39 568
Huiming Zhang China 14 163 0.8× 99 0.8× 15 0.2× 29 0.6× 8 0.2× 45 656
Choongrak Kim South Korea 13 184 0.9× 26 0.2× 23 0.3× 53 1.1× 4 0.1× 48 782
Alexander Petersen United States 12 122 0.6× 105 0.9× 38 0.5× 14 0.3× 6 0.1× 39 594
Qing Pan China 15 22 0.1× 116 1.0× 90 1.1× 98 2.0× 5 0.1× 64 794
Jochen Einbeck United Kingdom 11 79 0.4× 74 0.6× 31 0.4× 35 0.7× 6 0.1× 57 461

Countries citing papers authored by Linglong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Linglong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linglong Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Linglong Kong. A scholar is included among the top collaborators of Linglong 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 Linglong Kong. Linglong 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.
Liu, Yi, et al.. (2025). An adaptive model checking test for the functional linear model. Bernoulli. 31(2). 1 indexed citations
2.
Branton, William G., Na Zhang, Éric A. Cohen, et al.. (2025). Brain RNA profiling highlights multiple disease pathways in persons with HIV-associated neurocognitive disorder. AIDS. 39(5). 496–507.
3.
Ding, Lei, et al.. (2024). From physical space to cyberspace: Recessive gender biases in social media mirror the real world. Cities. 152. 105149–105149. 2 indexed citations
4.
Hu, Yang, Nicole Denier, Lei Ding, et al.. (2024). Language in job advertisements and the reproduction of labor force gender and racial segregation. PNAS Nexus. 3(12). pgae526–pgae526. 2 indexed citations
5.
Yan, Xiaodong, et al.. (2024). Statistical inference for smoothed quantile regression with streaming data. Journal of Econometrics. 249. 105924–105924. 1 indexed citations
6.
Liu, Yi, et al.. (2024). Analysis of Differentially Private Synthetic Data: A Measurement Error Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21206–21213.
7.
Branton, William G., Ouafa Zghidi‐Abouzid, Éric A. Cohen, et al.. (2023). The HIV Restriction Factor Profile in the Brain Is Associated with the Clinical Status and Viral Quantities. Viruses. 15(2). 316–316. 6 indexed citations
8.
Kong, Linglong, et al.. (2023). Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7270–7278.
9.
Kong, Linglong, et al.. (2023). Gaussian copula function-on-scalar regression in reproducing kernel Hilbert space. Journal of Multivariate Analysis. 198. 105226–105226. 1 indexed citations
10.
Zhang, Xueying, et al.. (2023). Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis. Computational Statistics. 39(4). 2323–2341. 2 indexed citations
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Fujiwara, Esther, et al.. (2019). Machine learning models reveal neurocognitive impairment type and prevalence are associated with distinct variables in HIV/AIDS. Journal of NeuroVirology. 26(1). 41–51. 19 indexed citations
14.
15.
Kong, Linglong, et al.. (2019). Partial Functional Partially Linear Single-Index Models. Statistica Sinica. 6 indexed citations
16.
Asahchop, Eugene L., William G. Branton, Anand Krishnan, et al.. (2018). HIV-associated sensory polyneuropathy and neuronal injury are associated with miRNA–455-3p induction. JCI Insight. 3(23). 28 indexed citations
17.
Kong, Linglong, et al.. (2017). cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection. arXiv (Cornell University). 1 indexed citations
18.
Kong, Linglong, et al.. (2017). Trajectory modeling of gestational weight: A functional principal component analysis approach. PLoS ONE. 12(10). e0186761–e0186761. 11 indexed citations
19.
Zhang, Li, Dana Cobzaş, Alan H. Wilman, & Linglong Kong. (2017). Significant Anatomy Detection Through Sparse Classification: A Comparative Study. IEEE Transactions on Medical Imaging. 37(1). 128–137. 4 indexed citations
20.
He, Qianchuan, et al.. (2015). Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits. Computational Statistics & Data Analysis. 95. 222–239. 21 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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