Ying‐Lin Hsu

672 total citations
38 papers, 478 citations indexed

About

Ying‐Lin Hsu is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Ying‐Lin Hsu has authored 38 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Safety, Risk, Reliability and Quality, 13 papers in Statistics and Probability and 7 papers in Management Science and Operations Research. Recurrent topics in Ying‐Lin Hsu's work include Reliability and Maintenance Optimization (15 papers), Statistical Distribution Estimation and Applications (11 papers) and Advanced Queuing Theory Analysis (5 papers). Ying‐Lin Hsu is often cited by papers focused on Reliability and Maintenance Optimization (15 papers), Statistical Distribution Estimation and Applications (11 papers) and Advanced Queuing Theory Analysis (5 papers). Ying‐Lin Hsu collaborates with scholars based in Taiwan, United States and Canada. Ying‐Lin Hsu's co-authors include Jau‐Chuan Ke, Tzu‐Hsin Liu, Dung‐Tsa Chen, Tsung‐I Lin, Domenico Coppola, William J. Fulp, Eric B. Haura, W. Douglas Cress, Timothy J. Yeatman and Kuo-Hsiung Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Scientific Reports.

In The Last Decade

Ying‐Lin Hsu

35 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying‐Lin Hsu Taiwan	13	193	95	89	88	70	38	478
R. Campo United States	9	70 0.4×	8 0.1×	159 1.8×	27 0.3×	82 1.2×	13	516
Elmira Popova United States	13	159 0.8×	25 0.3×	96 1.1×	56 0.6×	102 1.5×	41	473
Young Myoung Ko South Korea	13	119 0.6×	68 0.7×	46 0.5×	47 0.5×	91 1.3×	46	519
Rafael Pérez‐Ocón Spain	19	645 3.3×	215 2.3×	449 5.0×	269 3.1×	193 2.8×	51	793
Aparna V. Huzurbazar United States	11	134 0.7×	22 0.2×	120 1.3×	85 1.0×	173 2.5×	35	416
Radim Briš Czechia	10	245 1.3×	15 0.2×	96 1.1×	98 1.1×	149 2.1×	43	367
Ling-Yau Chan Hong Kong	10	72 0.4×	8 0.1×	62 0.7×	18 0.2×	116 1.7×	24	320
Vlad Ștefan Barbu France	9	67 0.3×	15 0.2×	71 0.8×	28 0.3×	66 0.9×	32	353
Elias Zafiropoulos Greece	10	60 0.3×	11 0.1×	13 0.1×	28 0.3×	63 0.9×	15	605
Jesse H. Poore United States	16	140 0.7×	14 0.1×	23 0.3×	703 8.0×	27 0.4×	51	933

Countries citing papers authored by Ying‐Lin Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Ying‐Lin Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Lin Hsu. 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 Ying‐Lin Hsu. The network helps show where Ying‐Lin Hsu may publish in the future.

Co-authorship network of co-authors of Ying‐Lin Hsu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Cathy W. S., Peng‐Wen Chen, & Ying‐Lin Hsu. (2025). Bayesian Forecasting of Value‐at‐Risk and Expected Shortfall in Cryptocurrency Markets: A Nonlinear Semi‐Parametric Framework. Applied Stochastic Models in Business and Industry. 41(1).

Yin, Hujun, et al.. (2025). ENHANCING STROKE PROGNOSIS PREDICTION USING DEEP CONVOLUTION NEURAL NETWORKS. Journal of Mechanics in Medicine and Biology. 25(5). 3 indexed citations

Huang, Kuo‐Yang, et al.. (2025). Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction. Scientific Reports. 15(1). 17858–17858.

Lin, Pei‐Chun, et al.. (2025). Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI. Frontiers in Public Health. 13. 1613946–1613946. 2 indexed citations

Luo, Xingyu, et al.. (2025). Post-surgical fall risk prediction: a machine learning approach for spine and lower extremity procedures. Frontiers in Medicine. 12. 1574305–1574305. 1 indexed citations

Huang, Kuo‐Yang, et al.. (2024). Optimizing extubation success: a comparative analysis of time series algorithms and activation functions. Frontiers in Computational Neuroscience. 18. 1456771–1456771. 4 indexed citations

Hsu, Ying‐Lin, et al.. (2023). The triple generally weighted moving average control chart for monitoring Poisson observations. Annals of Operations Research. 349(1). 397–424. 1 indexed citations

Huang, Kuo‐Yang, et al.. (2023). Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters. Frontiers in Medicine. 10. 1167445–1167445. 12 indexed citations

Lu, Shih‐Hao, et al.. (2023). The generally weighted moving average control chart for monitoring the process mean of autocorrelated observations. Annals of Operations Research. 349(1). 139–167. 3 indexed citations

10.

Lin, Chih‐Ming, et al.. (2022). Long-Term Functionality Prediction for First Time Ischemic Middle Cerebral Artery Stroke Patients Receiving Conventional Medical Treatment. SHILAP Revista de lepidopterología. 1 indexed citations

11.

Hsu, Ying‐Lin, et al.. (2022). Functional outcome prediction of ischemic stroke patients with atrial fibrillation accepting post-acute care training. Frontiers in Neurology. 13. 954212–954212. 2 indexed citations

12.

Hsu, Ying‐Lin, et al.. (2022). Analysis of agricultural exports based on deep learning and text mining. The Journal of Supercomputing. 78(8). 10876–10892. 5 indexed citations

13.

Hsu, Ying‐Lin, et al.. (2021). The Impact of News Sentiment Indicators on Agricultural Product Prices. Computational Economics. 59(4). 1645–1657. 12 indexed citations

14.

Chen, Yu-Yawn, et al.. (2015). Predicting body composition using foot-to-foot bioelectrical impedance analysis in healthy Asian individuals. Nutrition Journal. 14(1). 52–52. 23 indexed citations

15.

Liu, Tzu‐Hsin, et al.. (2011). Bootstrapping Computation of Availability for a Repairable System with Standby Subject to Imperfect Switching. Communications in Statistics - Simulation and Computation. 40(4). 469–483. 8 indexed citations

16.

Chen, Dung‐Tsa, Ying‐Lin Hsu, William J. Fulp, et al.. (2011). Prognostic and Predictive Value of a Malignancy-Risk Gene Signature in Early-Stage Non–Small Cell Lung Cancer. JNCI Journal of the National Cancer Institute. 103(24). 1859–1870. 81 indexed citations

17.

Hsu, Ying‐Lin, Jau‐Chuan Ke, & Tzu‐Hsin Liu. (2011). Standby system with general repair, reboot delay, switching failure and unreliable repair facility—A statistical standpoint. Mathematics and Computers in Simulation. 81(11). 2400–2413. 27 indexed citations

18.

Ke, Jau‐Chuan, et al.. (2007). On a repairable system with detection, imperfect coverage and reboot: Bayesian approach. Simulation Modelling Practice and Theory. 16(3). 353–367. 24 indexed citations

19.

Hsu, Ying‐Lin, et al.. (2007). Constant elasticity of variance (CEV) option pricing model: Integration and detailed derivation. Mathematics and Computers in Simulation. 79(1). 60–71. 39 indexed citations

20.

Lee, Jack C. & Ying‐Lin Hsu. (1997). Bayesian analysis of growth curves with AR(1) dependence. Journal of Statistical Planning and Inference. 64(2). 205–229. 4 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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