Ding‐Hsiang Huang

629 total citations
37 papers, 473 citations indexed

About

Ding‐Hsiang Huang is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Software. According to data from OpenAlex, Ding‐Hsiang Huang has authored 37 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Safety, Risk, Reliability and Quality, 11 papers in Statistics, Probability and Uncertainty and 8 papers in Software. Recurrent topics in Ding‐Hsiang Huang's work include Reliability and Maintenance Optimization (20 papers), Risk and Safety Analysis (9 papers) and Software Reliability and Analysis Research (8 papers). Ding‐Hsiang Huang is often cited by papers focused on Reliability and Maintenance Optimization (20 papers), Risk and Safety Analysis (9 papers) and Software Reliability and Analysis Research (8 papers). Ding‐Hsiang Huang collaborates with scholars based in Taiwan, China and United States. Ding‐Hsiang Huang's co-authors include Yi‐Kuei Lin, Cheng‐Fu Huang, Cheng-Hsiang Liu, Ping‐Chen Chang, Pin Wang, Xuxin Cheng, Ching‐Yao Chan, Tianyu Shi, Cheng Huang and Deying Hu and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Research.

In The Last Decade

Ding‐Hsiang Huang

32 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding‐Hsiang Huang Taiwan 13 183 130 113 110 64 37 473
Di Zhou China 15 311 1.7× 134 1.0× 172 1.5× 189 1.7× 32 0.5× 43 619
Cheng-Ta Yeh Taiwan 15 307 1.7× 95 0.7× 65 0.6× 154 1.4× 41 0.6× 26 531
Arash Zaretalab Iran 10 193 1.1× 92 0.7× 61 0.5× 96 0.9× 42 0.7× 31 451
Zineb Simeu-Abazi France 11 127 0.7× 87 0.7× 139 1.2× 86 0.8× 77 1.2× 49 403
Ruey-Huei Yeh Taiwan 11 109 0.6× 72 0.6× 114 1.0× 105 1.0× 19 0.3× 18 371
Mohamed Ghazel France 13 108 0.6× 126 1.0× 55 0.5× 72 0.7× 22 0.3× 62 526
Yi-Feng Niu China 14 357 2.0× 42 0.3× 65 0.6× 256 2.3× 32 0.5× 38 528
Jiangbin Zhao China 16 372 2.0× 69 0.5× 202 1.8× 262 2.4× 31 0.5× 54 684
Luis Alberto Rodríguez‐Picón Mexico 13 182 1.0× 57 0.4× 65 0.6× 164 1.5× 28 0.4× 47 477
Mohamed Sallak France 14 225 1.2× 49 0.4× 79 0.7× 289 2.6× 34 0.5× 48 501

Countries citing papers authored by Ding‐Hsiang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ding‐Hsiang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding‐Hsiang Huang. 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 Ding‐Hsiang Huang. The network helps show where Ding‐Hsiang Huang may publish in the future.

Co-authorship network of co-authors of Ding‐Hsiang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ding‐Hsiang Huang. A scholar is included among the top collaborators of Ding‐Hsiang Huang 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 Ding‐Hsiang Huang. Ding‐Hsiang Huang 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.
Huang, Ding‐Hsiang. (2025). Network Reliability Estimation of Multicapacity Networks for Various Demand Levels Using Monte Carlo and Linear Programming. IEEE Transactions on Reliability. 74(4). 5371–5380.
2.
Huang, Ding‐Hsiang, Cheng Huang, & Yi‐Kuei Lin. (2025). Deep learning-driven reliability modeling for preventive maintenance in a multi-state hybrid flow shop. Advanced Engineering Informatics. 68. 103707–103707.
3.
Huang, Ding‐Hsiang. (2025). Evaluation and Management of Sustainable Supply Chain Systems with Carbon Emissions and Transport Damage Based on Multi-state System Reliability Assessment. Reliability Engineering & System Safety. 257. 110821–110821. 3 indexed citations
4.
Huang, Ding‐Hsiang. (2024). Network reliability of a stochastic flow network by wrapping linear programming models into a Monte-Carlo simulation. Reliability Engineering & System Safety. 252. 110427–110427. 7 indexed citations
5.
Huang, Ding‐Hsiang. (2024). An algorithm to generate all d-lower boundary points for a stochastic flow network using dynamic flow constraints. Reliability Engineering & System Safety. 249. 110217–110217. 4 indexed citations
6.
Chang, Ping‐Chen, Ding‐Hsiang Huang, & Cheng‐Fu Huang. (2024). Simulation-based system reliability estimation of a multi-state flow network for all possible demand levels. Annals of Operations Research. 340(1). 117–132.
7.
Huang, Ding‐Hsiang & Ping‐Chen Chang. (2024). System Reliability of a Modern Distributed Network with Node Failure and Budget Consideration Using Analytical Algorithm and Deep Learning Model. International Journal of Reliability Quality and Safety Engineering. 31(5).
8.
Chang, Ping‐Chen, Cheng‐Fu Huang, & Ding‐Hsiang Huang. (2023). MC-reduction simulation approach with heuristic rules for reliability estimation in a multi-state flow network. Simulation Modelling Practice and Theory. 130. 102865–102865. 7 indexed citations
9.
Huang, Ding‐Hsiang. (2023). A network reliability algorithm for a stochastic flow network with non-conservation flow. Reliability Engineering & System Safety. 240. 109584–109584. 9 indexed citations
10.
Huang, Ding‐Hsiang. (2023). Reliability evaluation for multi-state network with cloud and fog computing by considering all transmission mechanisms. Annals of Operations Research. 349(1). 67–86. 3 indexed citations
11.
Huang, Ding‐Hsiang, et al.. (2023). Network reliability prediction for random capacitated-flow networks via an artificial neural network. Reliability Engineering & System Safety. 237. 109378–109378. 13 indexed citations
12.
Huang, Ding‐Hsiang, Cheng‐Fu Huang, & Yi‐Kuei Lin. (2022). A reliability prediction model for a multistate cloud/edge-based network based on a deep neural network. Annals of Operations Research. 340(1). 271–287. 4 indexed citations
13.
Huang, Cheng‐Fu, Ding‐Hsiang Huang, & Yi‐Kuei Lin. (2021). Reliability Evaluation of a Cloud–Fog Computing Network Considering Transmission Mechanisms. IEEE Transactions on Reliability. 71(3). 1355–1367. 8 indexed citations
14.
Chang, Ping‐Chen, Ding‐Hsiang Huang, Lance Fiondella, Yi‐Kuei Lin, & Kuei‐Kuei Lai. (2021). Method for integrating classical and network reliability: A time varying network reliability evaluation. Quality and Reliability Engineering International. 38(6). 2953–2967. 5 indexed citations
15.
Chen, Yifan, Ding‐Hsiang Huang, Cheng‐Fu Huang, & Yi‐Kuei Lin. (2020). Reliability Evaluation for a Cloud Computer Network with Fog Computing. 682–683. 1 indexed citations
16.
Shi, Tianyu, Pin Wang, Xuxin Cheng, Ching‐Yao Chan, & Ding‐Hsiang Huang. (2019). Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning. 2895–2900. 58 indexed citations
17.
Huang, Ding‐Hsiang, Cheng‐Fu Huang, & Yi‐Kuei Lin. (2019). Exact project reliability for a multi-state project network subject to time and budget constraints. Reliability Engineering & System Safety. 195. 106744–106744. 24 indexed citations
18.
Lin, Yi‐Kuei & Ding‐Hsiang Huang. (2017). Reliability analysis for a hybrid flow shop with due date consideration. Reliability Engineering & System Safety. 199. 105905–105905. 17 indexed citations
19.
Lin, Yi‐Kuei, et al.. (2016). Reliability evaluation of a multistate flexible flow shop with stochastic capacity for multiple types of jobs. Journal of Manufacturing Systems. 41. 287–298. 5 indexed citations
20.
Huang, Ding‐Hsiang, et al.. (2000). Depth estimation algorithm applied to FTG data. 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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