Liangliang Wang

2.4k total citations
95 papers, 1.2k citations indexed

About

Liangliang Wang is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Liangliang Wang has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Statistics and Probability and 13 papers in Molecular Biology. Recurrent topics in Liangliang Wang's work include Bayesian Methods and Mixture Models (17 papers), Statistical Methods and Inference (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Liangliang Wang is often cited by papers focused on Bayesian Methods and Mixture Models (17 papers), Statistical Methods and Inference (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Liangliang Wang collaborates with scholars based in China, Canada and United States. Liangliang Wang's co-authors include Jiguo Cao, Wayne Jones, Xin Shen, Elliot M. Goldner, Nandini Dendukuri, Alula Hadgu, Junjie Ding, Dongsheng Cao, Xiaoqin Ding and Zhenhua Lin and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Journal of the American Statistical Association.

In The Last Decade

Liangliang Wang

82 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangliang Wang China 19 199 170 137 132 112 95 1.2k
A. Albert Belgium 20 102 0.5× 496 2.9× 138 1.0× 28 0.2× 90 0.8× 44 1.8k
Cheng Zheng United States 28 553 2.8× 109 0.6× 115 0.8× 19 0.1× 97 0.9× 148 2.8k
Michael Nguyen United States 28 424 2.1× 231 1.4× 125 0.9× 66 0.5× 37 0.3× 61 2.6k
Elizabeth Ryan Australia 23 54 0.3× 140 0.8× 63 0.5× 113 0.9× 12 0.1× 72 1.5k
Daniel B. Rubin United States 29 402 2.0× 665 3.9× 110 0.8× 35 0.3× 35 0.3× 99 3.6k
Margaret Hamburg United States 19 605 3.0× 117 0.7× 81 0.6× 57 0.4× 58 0.5× 54 3.4k
Jay Park Canada 24 324 1.6× 310 1.8× 42 0.3× 31 0.2× 26 0.2× 63 2.4k
Jean Martin United States 23 149 0.7× 233 1.4× 130 0.9× 20 0.2× 12 0.1× 118 2.4k
Hong Ge United Kingdom 10 179 0.9× 34 0.2× 75 0.5× 112 0.8× 13 0.1× 25 1.1k
Ziv Shkedy Belgium 24 595 3.0× 179 1.1× 120 0.9× 108 0.8× 12 0.1× 123 2.3k

Countries citing papers authored by Liangliang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liangliang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangliang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Liangliang Wang. A scholar is included among the top collaborators of Liangliang 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 Liangliang Wang. Liangliang 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.
Ge, Feng, Tao Wu, Liangliang Wang, et al.. (2025). Integrated metabolomic and transcriptomic analysis reveals the regulatory effects of IAA on polyphenol biosynthesis and antioxidant activity in Phlebopus portentosus. Food Bioscience. 65. 106116–106116. 3 indexed citations
2.
Wang, Liangliang, Fan Li, Ting Liu, et al.. (2024). Identification of a multidrug resistance genomic island harboring a nonfunctional optrA gene in Campylobacter coli of chicken origin. Veterinary Microbiology. 293. 110083–110083. 1 indexed citations
3.
4.
Wang, Liangliang, et al.. (2024). Research Progress on the Biological Activity of Ganoderic Acids in Ganoderma lucidum over the Last Five Years. Life. 14(10). 1339–1339. 5 indexed citations
5.
Wang, Liangliang, et al.. (2024). Temporal graph convolutional network for multi-agent reinforcement learning of action detection. Applied Soft Computing. 163. 111916–111916. 1 indexed citations
6.
Jin, Dan, et al.. (2023). Agricultural practices during the middle and late Yangshao periods (6000-4500 BP) in the Guanzhong Basin, North China. Journal of Archaeological Science Reports. 53. 104345–104345. 5 indexed citations
7.
Li, Yuanzheng, Guosong Zhao, Chaoqun Ma, et al.. (2023). A systematic review of studies involving canopy layer urban heat island: Monitoring and associated factors. Ecological Indicators. 158. 111424–111424. 17 indexed citations
8.
Wang, Liangliang, et al.. (2023). A descriptive behavior intention inference framework using spatio-temporal semantic features for human–robot real-time interaction. Engineering Applications of Artificial Intelligence. 128. 107488–107488.
9.
Li, Shuankui, et al.. (2023). Recent advances in atomic layer deposition-based interface modification engineering in thermoelectric materials. Materials Today Physics. 39. 101287–101287. 12 indexed citations
10.
Zhu, Yuli, et al.. (2022). Diagnostic Value of Tumor Markers in Peritoneal Lavage Fluid for Peritoneal Metastasis from Colorectal Cancer.. PubMed. 52(1). 95–100. 3 indexed citations
11.
Wang, Shijia, et al.. (2021). Estimating Genetic Similarity Matrices Using Phylogenies. Journal of Computational Biology. 28(6). 587–600. 5 indexed citations
12.
Stockdale, Jessica E., et al.. (2021). Long time frames to detect the impact of changing COVID-19 measures, Canada, March to July 2020. Eurosurveillance. 26(40). 2 indexed citations
13.
Dong, Jianghu, et al.. (2021). Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis. Journal of Applied Statistics. 50(1). 43–59. 2 indexed citations
14.
Wang, Shijia, et al.. (2021). Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo. Journal of Computational and Graphical Statistics. 31(2). 600–613. 3 indexed citations
15.
Xiang, Wei, et al.. (2019). Effects of Processing on the Disappearance of Pesticide Residues in Fresh-cut Lettuce. 40(24). 231–236. 1 indexed citations
16.
Jones, Wayne, et al.. (2018). The fundamental association between mental health and life satisfaction: results from successive waves of a Canadian national survey. BMC Public Health. 18(1). 342–342. 198 indexed citations
17.
Lin, Zhenhua, Jiguo Cao, Liangliang Wang, & Haonan Wang. (2016). Locally Sparse Estimator for Functional Linear Regression Models. Journal of Computational and Graphical Statistics. 26(2). 306–318. 44 indexed citations
18.
Han, Jie, et al.. (2012). A long-term tourism scheme within a networked urban regeneration strategy for historic quarters. QRU Quaderns de Recerca en Urbanisme. 1–14. 2 indexed citations
19.
Cao, Jiguo, Liangliang Wang, & Jian Xu. (2011). Robust Estimation for Ordinary Differential Equation Models. Biometrics. 67(4). 1305–1313. 31 indexed citations
20.
Wang, Liangliang & Jiguo Cao. (2011). Estimating Parameters in Delay Differential Equation Models. Journal of Agricultural Biological and Environmental Statistics. 17(1). 68–83. 12 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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