Kun‐Lin Hsieh

592 total citations
41 papers, 477 citations indexed

About

Kun‐Lin Hsieh is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Kun‐Lin Hsieh has authored 41 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Industrial and Manufacturing Engineering, 13 papers in Management Science and Operations Research and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Kun‐Lin Hsieh's work include Advanced Statistical Process Monitoring (10 papers), Optimal Experimental Design Methods (10 papers) and Industrial Vision Systems and Defect Detection (8 papers). Kun‐Lin Hsieh is often cited by papers focused on Advanced Statistical Process Monitoring (10 papers), Optimal Experimental Design Methods (10 papers) and Industrial Vision Systems and Defect Detection (8 papers). Kun‐Lin Hsieh collaborates with scholars based in Taiwan and China. Kun‐Lin Hsieh's co-authors include Yan‐Kwang Chen, Lee‐Ing Tong, Chao‐Ton Su, Yen-Sheng Lu, Chun‐Nan Lin, W.-T. Chen, Ching-Cheng Shen, I‐Ching Yang, Ilseung Yang and Ching‐Yu Wang and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Kun‐Lin Hsieh

39 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun‐Lin Hsieh Taiwan	11	179	135	133	87	60	41	477
Yan‐Kwang Chen Taiwan	13	325 1.8×	107 0.8×	176 1.3×	151 1.7×	33 0.6×	43	611
H. H. Chang Taiwan	12	78 0.4×	88 0.7×	122 0.9×	19 0.2×	68 1.1×	32	471
Jen Tang United States	15	401 2.2×	119 0.9×	106 0.8×	348 4.0×	19 0.3×	33	772
Özlem Şenvar Türkiye	12	94 0.5×	94 0.7×	158 1.2×	48 0.6×	17 0.3×	24	409
Murat Gülbay Türkiye	6	264 1.5×	64 0.5×	305 2.3×	226 2.6×	19 0.3×	7	597
Chih‐Ming Hsu Taiwan	13	51 0.3×	352 2.6×	170 1.3×	30 0.3×	27 0.5×	31	612
Shuo Huang China	14	116 0.6×	34 0.3×	32 0.2×	71 0.8×	26 0.4×	35	468
William A. Verdini United States	7	34 0.2×	57 0.4×	196 1.5×	26 0.3×	75 1.3×	11	425
Hamid Shahriari Iran	14	437 2.4×	67 0.5×	169 1.3×	276 3.2×	15 0.3×	54	667
G. Miraç Bayhan Türkiye	12	25 0.1×	429 3.2×	72 0.5×	27 0.3×	68 1.1×	19	617

Countries citing papers authored by Kun‐Lin Hsieh

Since Specialization

Citations

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

Fields of papers citing papers by Kun‐Lin Hsieh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun‐Lin Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Lin Hsieh. A scholar is included among the top collaborators of Kun‐Lin Hsieh 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 Kun‐Lin Hsieh. Kun‐Lin Hsieh 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

Shen, Ching-Cheng, et al.. (2019). Factors Affecting the Business Model Innovation Employed by Small and Micro Travel Agencies in the Internet+ Era. Sustainability. 11(19). 5322–5322. 9 indexed citations

Lin, Chun‐Nan & Kun‐Lin Hsieh. (2014). The Order Effect on Electronic Word of Mouth to Online Religious Service Usage: Using Daoism as an Example in Taiwan. Review of Religious Research. 56(2). 339–340. 1 indexed citations

Hsieh, Kun‐Lin. (2014). Relationship between the Daoism's SNSs Use and Loneliness at Taiwan. Review of Religious Research. 57(1). 155–156. 1 indexed citations

Hsieh, Kun‐Lin & Yan‐Kwang Chen. (2013). An economic design of the VSSI control charts for the means of positively Skewed distributions. AFRICAN JOURNAL OF BUSINESS MANAGEMENT. 7(7). 526–535.

Hsieh, Kun‐Lin. (2013). Combining Mental Accounting and Artificial Neural Networks into Achieving Decision-making for Study Abroad Service. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 5(4). 785–791.

Hsieh, Kun‐Lin. (2012). Applying Kano's Two Dimensions, Value Expansion and BPNN Prediction Model into Enhancing the Business Intelligence of Leisure Farming in Taiwan. Journal of Convergence Information Technology. 7(6). 1–8. 2 indexed citations

Lin, Chun‐Nan, et al.. (2010). The Application of Structural Holes Theory to Supply Chain Network Information Flow Analysis. Information Technology Journal. 10(1). 146–151. 5 indexed citations

Hsieh, Kun‐Lin. (2009). Multi-response Problem with Adaptive Weight Consideration by Using Weight Aggregator and ANNs. Concurrent Engineering. 17(3). 203–211. 1 indexed citations

Hsieh, Kun‐Lin. (2009). The Application of Value Analysis Based on Kano’s Two Dimensions Model and Value Expansion Model. Information Technology Journal. 8(7). 1020–1026. 6 indexed citations

10.

Hsieh, Kun‐Lin & I‐Ching Yang. (2008). Incorporating PCA and fuzzy-ART techniques into achieve organism classification based on codon usage consideration. Computers in Biology and Medicine. 38(8). 886–893. 7 indexed citations

11.

Hsieh, Kun‐Lin. (2008). Applying an expert system into constructing customer’s value expansion and prediction model based on AI techniques in leisure industry. Expert Systems with Applications. 36(2). 2864–2872. 8 indexed citations

12.

Hsieh, Kun‐Lin. (2007). Applying fuzzy set approach into achieving quality improvement for qualitative quality response. 522–527. 3 indexed citations

13.

Hsieh, Kun‐Lin. (2007). Applying neural networks approach to achieve the parameter optimization for censored data. 516–521. 1 indexed citations

14.

Hsieh, Kun‐Lin, et al.. (2007). Bootstrap confidence interval estimates of the bullwhip effect. Simulation Modelling Practice and Theory. 15(8). 908–917. 9 indexed citations

15.

Hsieh, Kun‐Lin. (2006). Process parameter optimization via data mining technique. 130–134. 1 indexed citations

16.

Hsieh, Kun‐Lin & Yen-Sheng Lu. (2006). Achieving process analysis in TFT-LCD manufacturing industry by using statistical technique. International Conference on Systems. 133–137. 1 indexed citations

17.

Hsieh, Kun‐Lin & Yen-Sheng Lu. (2006). Model construction and parameter effect for TFT-LCD process based on yield analysis by using ANNs and stepwise regression. Expert Systems with Applications. 34(1). 717–724. 18 indexed citations

18.

Hsieh, Kun‐Lin. (2005). Parameter optimization of a multi-response process for lead frame manufacturing by employing artificial neural networks. The International Journal of Advanced Manufacturing Technology. 28(5-6). 584–591. 24 indexed citations

19.

Su, Chao‐Ton & Kun‐Lin Hsieh. (1998). Applying neural network approach to achieve robust design for dynamic quality characteristics. International Journal of Quality & Reliability Management. 15(5). 509–519. 39 indexed citations

20.

Hsieh, Kun‐Lin & W.-T. Chen. (1993). A neural network model which combines unsupervised and supervised learning. IEEE Transactions on Neural Networks. 4(2). 357–360. 11 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