Liansheng Tang

857 total citations · 1 hit paper
56 papers, 548 citations indexed

About

Liansheng Tang is a scholar working on Statistics and Probability, Artificial Intelligence and Safety Research. According to data from OpenAlex, Liansheng Tang has authored 56 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 9 papers in Safety Research. Recurrent topics in Liansheng Tang's work include Statistical Methods in Clinical Trials (10 papers), Forensic Fingerprint Detection Methods (9 papers) and Statistical Methods and Inference (8 papers). Liansheng Tang is often cited by papers focused on Statistical Methods in Clinical Trials (10 papers), Forensic Fingerprint Detection Methods (9 papers) and Statistical Methods and Inference (8 papers). Liansheng Tang collaborates with scholars based in United States, China and Hong Kong. Liansheng Tang's co-authors include Faye S. Taxman, Alese Wooditch, Xiangyin Meng, Yi Wang, Peng Guo, Xiao‐Hua Zhou, Michael S. Caudy, Pang Du, N. Balakrishnan and Aiyi Liu and has published in prestigious journals such as Technometrics, Biometrics and Expert Systems with Applications.

In The Last Decade

Liansheng Tang

49 papers receiving 524 citations

Hit Papers

align trajectories

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.

A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem

2022 188 citations Liansheng Tang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liansheng Tang United States	8	174	96	94	63	55	56	548
Dimitris Fouskakis Greece	11	11 0.1×	17 0.2×	56 0.6×	121 1.9×	21 0.4×	34	673
Ismail Ibrahim Egypt	10	67 0.4×	8 0.1×	13 0.1×	10 0.2×	14 0.3×	65	326
Péter Szabó Slovakia	12	85 0.5×	12 0.1×	57 0.6×	4 0.1×	25 0.5×	44	418
Carmen Wong United States	16	27 0.2×	26 0.3×	46 0.5×	4 0.1×	118 2.1×	61	925
Kevin Gary United States	11	43 0.2×	36 0.4×	20 0.2×	3 0.0×	34 0.6×	58	556
Patience I. Adamu Nigeria	11	21 0.1×	15 0.2×	59 0.6×	4 0.1×	15 0.3×	24	307
Xuyang Li China	10	11 0.1×	20 0.2×	91 1.0×	5 0.1×	24 0.4×	30	307
Ricardo Santiago‐Mozos Spain	11	17 0.1×	15 0.2×	56 0.6×	5 0.1×	4 0.1×	18	319
Murat Erişoğlu Türkiye	8	5 0.0×	28 0.3×	61 0.6×	70 1.1×	10 0.2×	19	491
Jae Kwon Kim South Korea	11	29 0.2×	32 0.3×	3 0.0×	9 0.1×	8 0.1×	41	464

Countries citing papers authored by Liansheng Tang

Since Specialization

Citations

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

Fields of papers citing papers by Liansheng Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liansheng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Liansheng Tang. A scholar is included among the top collaborators of Liansheng Tang 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 Liansheng Tang. Liansheng Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tang, Liansheng, et al.. (2025). Evaluating machine learning methods on a large-scale of in silico fire debris data. Forensic Chemistry. 44. 100652–100652.

Sigman, Michael E., et al.. (2024). In silico created fire debris data for Machine learning. Forensic Chemistry. 42. 100633–100633. 2 indexed citations

Simpson, Andrew, et al.. (2023). Modeling subpopulations for hierarchically structured data. Statistical Analysis and Data Mining The ASA Data Science Journal. 17(1).

Jeckeln, Géraldine, Ying Hu, Jacqueline G. Cavazos, et al.. (2023). Face identification proficiency test designed using item response theory. Behavior Research Methods. 56(3). 1244–1259. 6 indexed citations

Marasco, Emanuela, et al.. (2022). Demographic-Adapted ROC Curve for Assessing Automated Matching of Latent Fingerprints. SN Computer Science. 3(3).

Hahn, Carina A., Liansheng Tang, Amy N. Yates, & P. Jonathon Phillips. (2022). Forensic facial examiners versus super‐recognizers: Evaluating behavior beyond accuracy. Applied Cognitive Psychology. 36(6). 1209–1218. 7 indexed citations

Tang, Liansheng, et al.. (2021). A ROC‐based test for evaluating the group difference with an application to neonatal audiology screening. Statistics in Medicine. 40(21). 4597–4608. 2 indexed citations

Zhao, Yunpeng, et al.. (2021). A resample-replace lasso procedure for combining high-dimensional markers with limit of detection. Journal of Applied Statistics. 49(16). 4278–4293. 1 indexed citations

Tang, Liansheng, et al.. (2021). A foundational study of fire debris interpretation using quantitative measures of chromatographic features in gasoline and the use of graphical display to demonstrate data sufficiency. Forensic Chemistry. 24. 100337–100337. 5 indexed citations

10.

Tang, Liansheng, et al.. (2021). Tire Classification by Elemental Signatures Using Laser-Induced Breakdown Spectroscopy. Applied Spectroscopy. 75(6). 747–752. 7 indexed citations

11.

Koizumi, Naoru, et al.. (2019). United Network for Organ Sharing Rule Changes and Their Effects on Kidney and Liver Transplant Outcomes. Experimental and Clinical Transplantation. 20(3). 246–252. 1 indexed citations

12.

Zhang, Wei Emma, Aiyi Liu, Liansheng Tang, & Qizhai Li. (2019). A Cluster-Adjusted Rank-Based Test for a Clinical Trial Concerning Multiple Endpoints With Application to Dietary Intervention Assessment. Biometrics. 75(3). 821–830. 3 indexed citations

13.

Zhang, Wei, Liansheng Tang, Qizhai Li, Aiyi Liu, & Mei‐Ling Ting Lee. (2019). Order‐restricted inference for clustered ROC data with application to fingerprint matching accuracy. Biometrics. 76(3). 863–873. 3 indexed citations

14.

Walters, Scott T., et al.. (2017). Effectiveness of a computerized motivational intervention on treatment initiation and substance use: Results from a randomized trial. Journal of Substance Abuse Treatment. 80. 59–66. 22 indexed citations

15.

Tang, Liansheng, et al.. (2016). Least squares regression methods for clustered ROC data with discrete covariates. Biometrical Journal. 58(4). 747–765. 4 indexed citations

16.

Tang, Liansheng & Xiao‐Hua Zhou. (2012). A Semiparametric Separation Curve Approach for Comparing Correlated ROC Data From Multiple Markers. Journal of Computational and Graphical Statistics. 21(3). 662–676. 4 indexed citations

17.

Tang, Liansheng & N. Balakrishnan. (2010). A random-sum Wilcoxon statistic and its application to analysis of ROC and LROC data. Journal of Statistical Planning and Inference. 141(1). 335–344. 15 indexed citations

18.

Tang, Liansheng, Pang Du, & Chengqing Wu. (2010). Compare diagnostic tests using transformation-invariant smoothed ROC curves. Journal of Statistical Planning and Inference. 140(11). 3540–3551. 17 indexed citations

19.

Tang, Liansheng & Xiao‐Hua Zhou. (2008). Semiparametric Inferential Procedures for Comparing Multivariate ROC Curves with Interaction Terms. Statistica Sinica. 19(3). 1203–1221. 4 indexed citations

20.

Du, Pang & Liansheng Tang. (2008). Transformation‐invariant and nonparametric monotone smooth estimation of ROC curves. Statistics in Medicine. 28(2). 349–359. 7 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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