Jane-Ling Wang

6.8k total citations · 2 hit papers
97 papers, 4.3k citations indexed

About

Jane-Ling Wang is a scholar working on Statistics and Probability, Artificial Intelligence and Insect Science. According to data from OpenAlex, Jane-Ling Wang has authored 97 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 12 papers in Insect Science. Recurrent topics in Jane-Ling Wang's work include Statistical Methods and Inference (45 papers), Statistical Methods and Bayesian Inference (27 papers) and Bayesian Methods and Mixture Models (12 papers). Jane-Ling Wang is often cited by papers focused on Statistical Methods and Inference (45 papers), Statistical Methods and Bayesian Inference (27 papers) and Bayesian Methods and Mixture Models (12 papers). Jane-Ling Wang collaborates with scholars based in United States, China and Taiwan. Jane-Ling Wang's co-authors include Hans‐Georg Müller, Fang Yao, Jeng‐Min Chiou, Xiaoke Zhang, Ci‐Ren Jiang, James R. Carey, Pablo Liedo, Fushing Hsieh, James R. Carey and Thomas W. Scott and has published in prestigious journals such as Science, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Jane-Ling Wang

94 papers receiving 4.2k citations

Hit Papers

Functional Data Analysis for Sparse Longitudinal Data 2005 2026 2012 2019 2005 2016 250 500 750 1000
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. Functional Data Analysis for Sparse Longitudinal Data
    2005 1.0k citations Hans‐Georg Müller, Jane-Ling Wang et al. Journal of the American Statistical Association profile →
  2. Functional Data Analysis
    2016 518 citations Jane-Ling Wang, Hans‐Georg Müller et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane-Ling Wang United States 28 2.3k 986 309 281 264 97 4.3k
Ronald Christensen United States 29 1.5k 0.7× 712 0.7× 299 1.0× 78 0.3× 243 0.9× 128 4.5k
Giles Hooker United States 28 533 0.2× 871 0.9× 469 1.5× 223 0.8× 322 1.2× 93 4.1k
George Casella United States 3 992 0.4× 638 0.6× 313 1.0× 141 0.5× 216 0.8× 4 3.9k
Ludwig Fahrmeir Germany 34 2.3k 1.0× 991 1.0× 169 0.5× 156 0.6× 213 0.8× 124 5.2k
Marc Lavielle France 27 1.2k 0.5× 705 0.7× 556 1.8× 223 0.8× 312 1.2× 88 3.9k
Dennis D. Boos United States 30 2.2k 1.0× 493 0.5× 356 1.2× 68 0.2× 572 2.2× 93 4.1k
Leon Jay Gleser United States 29 2.3k 1.0× 861 0.9× 154 0.5× 203 0.7× 93 0.4× 96 5.9k
Josef Schmee United States 25 975 0.4× 336 0.3× 227 0.7× 175 0.6× 252 1.0× 97 3.7k
Jie Chen China 32 797 0.3× 452 0.5× 2.2k 7.1× 179 0.6× 629 2.4× 205 6.4k
Gerhard Tutz Germany 30 1.9k 0.8× 902 0.9× 221 0.7× 158 0.6× 160 0.6× 169 4.3k

Countries citing papers authored by Jane-Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jane-Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane-Ling Wang. 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 Jane-Ling Wang. The network helps show where Jane-Ling Wang may publish in the future.

Co-authorship network of co-authors of Jane-Ling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jane-Ling Wang. A scholar is included among the top collaborators of Jane-Ling Wang 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 Jane-Ling Wang. Jane-Ling Wang 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.
Zhu, Changbo, et al.. (2024). Testing independence for sparse longitudinal data. Biometrika. 111(4). 1187–1199.
2.
Lin, Shu‐Chin, et al.. (2024). Gradient synchronization for multivariate functional data, with application to brain connectivity. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(3). 694–713. 1 indexed citations
3.
Müller, Hans‐Georg, Changbo Zhu, Jane-Ling Wang, et al.. (2023). Network evolution of regional brain volumes in young children reflects neurocognitive scores and mother’s education. Scientific Reports. 13(1). 2984–2984. 2 indexed citations
4.
Jiang, Ci‐Ren, et al.. (2022). Eigen-Adjusted Functional Principal Component Analysis. Journal of Computational and Graphical Statistics. 31(4). 1141–1152. 1 indexed citations
5.
Wang, Jane-Ling, et al.. (2021). Deep Extended Hazard Models for Survival Analysis. Neural Information Processing Systems. 34. 14 indexed citations
6.
Müller, Hans‐Georg, et al.. (2021). Modeling sparse longitudinal data in early neurodevelopment. NeuroImage. 237. 118079–118079. 9 indexed citations
7.
Wang, Jane-Ling, et al.. (2019). A New Approach for Functional Connectivity via Alignment of Blood Oxygen Level-Dependent Signals. Brain Connectivity. 9(6). 464–474. 3 indexed citations
8.
Sun, Jiehuan, Jose D. Herazo‐Maya, Jane-Ling Wang, Naftali Kaminski, & Hongyu Zhao. (2019). LCox: a tool for selecting genes related to survival outcomes using longitudinal gene expression data. Statistical Applications in Genetics and Molecular Biology. 18(2).
9.
Lin, Shu‐Chin, et al.. (2018). Local and global temporal correlations for longitudinal data. Journal of Multivariate Analysis. 167. 1–14. 5 indexed citations
10.
Papadopoulos, Nikos T., Stella A. Papanastasiou, Hans‐Georg Müller, et al.. (2011). Dietary effects on sex-specific health dynamics of medfly: Support for the dynamic equilibrium model of aging. Experimental Gerontology. 46(12). 1026–1030. 5 indexed citations
11.
Jiang, Ci‐Ren & Jane-Ling Wang. (2010). Covariate adjusted functional principal components analysis for longitudinal\n data. eScholarship (California Digital Library). 51 indexed citations
12.
Jiang, Ci‐Ren & Jane-Ling Wang. (2010). Functional single index models for longitudinal data. The Annals of Statistics. 39(1). 65 indexed citations
13.
Tabnak, Farzaneh, Hans‐Georg Müller, Jane-Ling Wang, Weihong Zhang, & Lydia Pleotis Howell. (2009). Timeliness and follow-up patterns of cervical cancer detection in a cohort of medically underserved California women. Cancer Causes & Control. 21(3). 411–420. 20 indexed citations
14.
Jiang, Ci‐Ren, John A. D. Aston, & Jane-Ling Wang. (2009). Smoothing dynamic positron emission tomography time courses using functional principal components. NeuroImage. 47(1). 184–193. 21 indexed citations
15.
Müller, Hans‐Georg, et al.. (2003). Functional canonical analysis for square integrable stochastic processes. Journal of Multivariate Analysis. 85(1). 54–77. 87 indexed citations
16.
Wang, Qihua & Jane-Ling Wang. (2001). Inference for the Mean Difference in the Two-Sample Random Censorship Model. Journal of Multivariate Analysis. 79(2). 295–315. 9 indexed citations
17.
Feiz, Vahid, Mark J. Mannis, Martin McCarthy, et al.. (2001). Surface keratopathy after penetrating keratoplasty.. PubMed. 99. 159–68; discussion 168. 30 indexed citations
18.
Wang, Jane-Ling, Hans‐Georg Müller, & William B. Capra. (1998). Analysis of oldest-old mortality: lifetables revisited. The Annals of Statistics. 26(1). 42 indexed citations
19.
Wang, Jane-Ling. (1995). M-estimators for Censored Data: Strong Consistency. Scandinavian Journal of Statistics. 22(2). 197–205. 8 indexed citations
20.
Wang, Jane-Ling & Thomas P. Hettmansperger. (1990). Two-Sample Inference for Median Survival Times Based on One-Sample Procedures for Censored Survival Data. Journal of the American Statistical Association. 85(410). 529–536. 27 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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