Tzu‐Hsin Liu

678 total citations
42 papers, 523 citations indexed

About

Tzu‐Hsin Liu is a scholar working on Safety, Risk, Reliability and Quality, Management Information Systems and Statistics and Probability. According to data from OpenAlex, Tzu‐Hsin Liu has authored 42 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Safety, Risk, Reliability and Quality, 25 papers in Management Information Systems and 18 papers in Statistics and Probability. Recurrent topics in Tzu‐Hsin Liu's work include Reliability and Maintenance Optimization (30 papers), Advanced Queuing Theory Analysis (25 papers) and Statistical Distribution Estimation and Applications (17 papers). Tzu‐Hsin Liu is often cited by papers focused on Reliability and Maintenance Optimization (30 papers), Advanced Queuing Theory Analysis (25 papers) and Statistical Distribution Estimation and Applications (17 papers). Tzu‐Hsin Liu collaborates with scholars based in Taiwan, United States and Canada. Tzu‐Hsin Liu's co-authors include Jau‐Chuan Ke, Zhe George Zhang, Shey‐Huei Sheu, Fu‐Min Chang, Ying‐Lin Hsu, Dong‐Yuh Yang, Chia‐Huang Wu, Yu‐Hung Chien, Xufeng Zhao and Ya‐Ling Huang and has published in prestigious journals such as International Journal of Production Research, Reliability Engineering & System Safety and Computers & Operations Research.

In The Last Decade

Tzu‐Hsin Liu

39 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tzu‐Hsin Liu Taiwan 15 369 274 168 128 67 42 523
Miaomiao Yu China 12 204 0.6× 189 0.7× 70 0.4× 86 0.7× 85 1.3× 48 364
Dequan Yue China 12 162 0.4× 308 1.1× 40 0.2× 73 0.6× 72 1.1× 59 465
Linmin Hu China 12 241 0.7× 84 0.3× 84 0.5× 74 0.6× 117 1.7× 46 321
Yonit Barron Israel 13 120 0.3× 221 0.8× 39 0.2× 37 0.3× 44 0.7× 34 338
S. C. Malik India 11 201 0.5× 66 0.2× 117 0.7× 74 0.6× 63 0.9× 73 306
Delia Montoro‐Cazorla Spain 14 436 1.2× 150 0.5× 168 1.0× 267 2.1× 128 1.9× 30 488
Kellie Schneider United States 10 250 0.7× 38 0.1× 132 0.8× 62 0.5× 86 1.3× 26 362
M.N. Gopalan India 13 464 1.3× 178 0.6× 183 1.1× 176 1.4× 145 2.2× 119 598
Ralph Wildeman Netherlands 8 522 1.4× 107 0.4× 233 1.4× 121 0.9× 146 2.2× 11 652
Yeh Lam Hong Kong 20 730 2.0× 136 0.5× 378 2.3× 621 4.9× 348 5.2× 38 964

Countries citing papers authored by Tzu‐Hsin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Hsin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu‐Hsin Liu. 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 Tzu‐Hsin Liu. The network helps show where Tzu‐Hsin Liu may publish in the future.

Co-authorship network of co-authors of Tzu‐Hsin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu‐Hsin Liu. A scholar is included among the top collaborators of Tzu‐Hsin Liu 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 Tzu‐Hsin Liu. Tzu‐Hsin Liu 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.
Sheu, Shey‐Huei, et al.. (2025). Optimal replacement policies for k-out-of-n systems with minimal repairs and mission durations. Annals of Operations Research.
2.
Ke, Jau‐Chuan, et al.. (2025). Analysis of synchronous vacation retrial queue with non-preemptive customers. Communications in Statistics - Simulation and Computation. 1–30.
3.
Liu, Tzu‐Hsin, et al.. (2024). Multiserver Retrial Queue with Two-Way Communication and Synchronous Working Vacation. Mathematics. 12(8). 1163–1163. 4 indexed citations
4.
Ke, Jau‐Chuan, Fu‐Min Chang, & Tzu‐Hsin Liu. (2024). Bi-objective optimization of a retrial model with synchronous working vacation interruption. Quality Technology & Quantitative Management. 22(4). 659–682. 4 indexed citations
5.
Liu, Tzu‐Hsin, et al.. (2024). Waiting Time Control Chart for M/G/1 Retrial Queue. Computation. 12(9). 191–191.
6.
Liu, Tzu‐Hsin, et al.. (2023). Preemptive Priority Markovian Queue Subject to Server Breakdown with Imperfect Coverage and Working Vacation Interruption. Computation. 11(5). 89–89. 9 indexed citations
7.
Sheu, Shey‐Huei, et al.. (2023). Optimal replacement policy for a two-unit system subject to shocks and cumulative damage. Reliability Engineering & System Safety. 238. 109420–109420. 12 indexed citations
8.
Ke, Jau‐Chuan, et al.. (2023). Modeling and optimization analysis of a retrial system with partial servers synchronous vacation and customer geometric loss. Communications in Statistics - Simulation and Computation. 53(12). 6379–6394. 2 indexed citations
9.
Liu, Tzu‐Hsin, et al.. (2022). Cost-Benefit Analysis of a Standby Retrial System with an Unreliable Server and Switching Failure. Computation. 10(4). 48–48. 5 indexed citations
10.
Sheu, Shey‐Huei, Tzu‐Hsin Liu, Zhe George Zhang, Xufeng Zhao, & Yu‐Hung Chien. (2021). A generalized age-dependent minimal repair with random working times. Computers & Industrial Engineering. 156. 107248–107248. 17 indexed citations
11.
Sheu, Shey‐Huei, et al.. (2019). Optimization issues in k-out-of-n systems. Applied Mathematical Modelling. 73. 563–580. 18 indexed citations
12.
Sheu, Shey‐Huei, et al.. (2019). Optimum replacement policy for cumulative damage models based on multi-attributes. Computers & Industrial Engineering. 139. 106206–106206. 13 indexed citations
13.
Chang, Fu‐Min, Tzu‐Hsin Liu, & Jau‐Chuan Ke. (2017). On an unreliable-server retrial queue with customer feedback and impatience. Applied Mathematical Modelling. 55. 171–182. 54 indexed citations
14.
Ke, Jau‐Chuan, Fu‐Min Chang, & Tzu‐Hsin Liu. (2017). M/M/c balking retrial queue with vacation. Quality Technology & Quantitative Management. 16(1). 54–66. 27 indexed citations
15.
Sheu, Shey‐Huei, et al.. (2017). The generalized age maintenance policies with random working times. Reliability Engineering & System Safety. 169. 503–514. 29 indexed citations
16.
Liu, Tzu‐Hsin, et al.. (2016). Analysis of a random N-policy Geo/G/1 queue with the server subject to repairable breakdowns. Journal of Industrial and Production Engineering. 34(1). 19–29. 4 indexed citations
17.
Ke, Jau‐Chuan, Tzu‐Hsin Liu, & Dong‐Yuh Yang. (2016). Machine repairing systems with standby switching failure. Computers & Industrial Engineering. 99. 223–228. 27 indexed citations
18.
Sheu, Shey‐Huei, Tzu‐Hsin Liu, Zhe George Zhang, & Yu‐Hung Chien. (2015). Extended Optimal Replacement Policy for a Two-Unit System With Shock Damage Interaction. IEEE Transactions on Reliability. 64(3). 998–1014. 16 indexed citations
19.
Sheu, Shey‐Huei, et al.. (2013). Optimal number of repairs before replacement for a two-unit system subject to non-homogeneous pure birth process. Computers & Industrial Engineering. 69. 71–76. 5 indexed citations
20.
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

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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