Hsu‐Hao Yang

489 total citations
23 papers, 379 citations indexed

About

Hsu‐Hao Yang is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hsu‐Hao Yang has authored 23 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Management Science and Operations Research and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hsu‐Hao Yang's work include Transport and Economic Policies (5 papers), Efficiency Analysis Using DEA (5 papers) and Rough Sets and Fuzzy Logic (5 papers). Hsu‐Hao Yang is often cited by papers focused on Transport and Economic Policies (5 papers), Efficiency Analysis Using DEA (5 papers) and Rough Sets and Fuzzy Logic (5 papers). Hsu‐Hao Yang collaborates with scholars based in Taiwan, China and United States. Hsu‐Hao Yang's co-authors include Mei‐Ling Huang, Yen‐Liang Chen, Kuen‐Suan Chen, Dennis L. Bricker, Shih‐Wei Yang, Y. L. Lin, Yen‐Sheng Huang, He‐Yau Kang, Yang Chen and Jingyi Chen and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Renewable Energy.

In The Last Decade

Hsu‐Hao Yang

22 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsu‐Hao Yang Taiwan 12 110 78 57 53 52 23 379
Thomas Vossen United States 13 80 0.7× 78 1.0× 38 0.7× 165 3.1× 37 0.7× 21 590
Heinrich von Stackelberg 4 80 0.7× 93 1.2× 59 1.0× 16 0.3× 82 1.6× 7 475
John E. Kobza United States 17 54 0.5× 71 0.9× 58 1.0× 95 1.8× 15 0.3× 44 802
Kyle Y. Lin United States 14 144 1.3× 35 0.4× 40 0.7× 29 0.5× 61 1.2× 40 544
Baichun Xiao United States 15 181 1.6× 47 0.6× 130 2.3× 78 1.5× 53 1.0× 34 850
K Darby-Dowman United Kingdom 12 195 1.8× 74 0.9× 17 0.3× 18 0.3× 55 1.1× 31 478
Richard D. McBride United States 15 110 1.0× 126 1.6× 34 0.6× 14 0.3× 58 1.1× 59 737
Ignacy Kaliszewski Poland 12 226 2.1× 127 1.6× 26 0.5× 18 0.3× 33 0.6× 41 540
Narayan Rangaraj India 12 181 1.6× 66 0.8× 136 2.4× 39 0.7× 20 0.4× 38 681
Cornelis A. de Kluyver New Zealand 11 192 1.7× 60 0.8× 71 1.2× 17 0.3× 140 2.7× 25 554

Countries citing papers authored by Hsu‐Hao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hsu‐Hao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsu‐Hao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsu‐Hao Yang. A scholar is included among the top collaborators of Hsu‐Hao Yang 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 Hsu‐Hao Yang. Hsu‐Hao Yang 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.
Yang, Hsu‐Hao, et al.. (2025). Bayesian-Optimized Fully Connected Neural Network For Enhanced Prediction Accuracy In Concrete Compressive Strength Estimation. Civil and Environmental Engineering. 21(2). 1292–1303.
2.
Yang, Hsu‐Hao, et al.. (2017). An approach combining data mining and control charts-based model for fault detection in wind turbines. Renewable Energy. 115. 808–816. 40 indexed citations
3.
Yang, Hsu‐Hao, et al.. (2015). Detection of Wind Turbine Faults Using a Data Mining Approach. Journal of Energy Engineering. 142(3). 8 indexed citations
4.
Yang, Hsu‐Hao, Mei‐Ling Huang, & Shih‐Wei Yang. (2015). Integrating Auto-Associative Neural Networks with Hotelling T2 Control Charts for Wind Turbine Fault Detection. Energies. 8(10). 12100–12115. 30 indexed citations
5.
Yang, Hsu‐Hao & Yen‐Sheng Huang. (2014). Non-parametric analyses of efficiency of airports. Transportation Planning and Technology. 37(6). 539–553. 4 indexed citations
6.
Yang, Hsu‐Hao, et al.. (2011). Solving the 0/1 knapsack problem using rough sets and genetic algorithms. Journal of the Chinese Institute of Industrial Engineers. 28(5). 360–369. 4 indexed citations
7.
Yang, Hsu‐Hao. (2010). Efficiency and productivity evidence from international airports in the Asia-Pacific region. Journal of the Chinese Institute of Industrial Engineers. 27(2). 157–168. 11 indexed citations
8.
Yang, Hsu‐Hao. (2010). Measuring the efficiencies of Asia–Pacific international airports – Parametric and non-parametric evidence. Computers & Industrial Engineering. 59(4). 697–702. 43 indexed citations
9.
Yang, Hsu‐Hao, et al.. (2009). A novel approach for crossover based on attribute reduction - a case of 0/1 knapsack problem. 1733–1737. 4 indexed citations
10.
Yang, Hsu‐Hao, et al.. (2008). Rough sets to help medical diagnosis – Evidence from a Taiwan’s clinic. Expert Systems with Applications. 36(5). 9293–9298. 21 indexed citations
11.
Yang, Hsu‐Hao, et al.. (2007). On genetic algorithms for shoe making nesting – A Taiwan case. Expert Systems with Applications. 36(2). 1134–1141. 12 indexed citations
12.
Yang, Hsu‐Hao, et al.. (2006). Visualization of machine clustering for a Taiwanese IC packaging foundry. Expert Systems with Applications. 33(2). 324–329. 2 indexed citations
13.
Yang, Hsu‐Hao, et al.. (2005). Clustering with removing outliers - a case of an IC packaging company. The International Journal of Advanced Manufacturing Technology. 30(11-12). 1139–1143. 1 indexed citations
14.
Yang, Hsu‐Hao, et al.. (2005). Applying rough sets to prevent customer complaints for IC packaging foundry. Expert Systems with Applications. 32(1). 151–156. 22 indexed citations
15.
Yang, Hsu‐Hao & Yen‐Liang Chen. (2004). The first K shortest unique-arc walks in a traffic-light network. Mathematical and Computer Modelling. 40(13). 1453–1464. 2 indexed citations
16.
Yang, Hsu‐Hao & Yen‐Liang Chen. (2003). Finding K shortest looping paths in a traffic-light network. Computers & Operations Research. 32(3). 571–581. 13 indexed citations
17.
Chen, Yen‐Liang & Hsu‐Hao Yang. (2003). Finding the first K shortest paths in a time-window network. Computers & Operations Research. 31(4). 499–513. 26 indexed citations
18.
Chen, Kuen‐Suan & Hsu‐Hao Yang. (2000). A new decision‐making tool: the service performance index. International Journal of Quality & Reliability Management. 17(6). 671–678. 14 indexed citations
19.
Yang, Hsu‐Hao & Kuen‐Suan Chen. (2000). A performance index approach to managing service quality. Managing Service Quality. 10(5). 273–278. 12 indexed citations
20.
Yang, Hsu‐Hao & Dennis L. Bricker. (1997). Investigation of path-following algorithms for signomial geometric programming problems. European Journal of Operational Research. 103(1). 230–241. 21 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026