Yung‐Hsiang Hung

709 total citations
24 papers, 520 citations indexed

About

Yung‐Hsiang Hung is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yung‐Hsiang Hung has authored 24 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 7 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yung‐Hsiang Hung's work include Industrial Vision Systems and Defect Detection (11 papers), Manufacturing Process and Optimization (6 papers) and Face and Expression Recognition (3 papers). Yung‐Hsiang Hung is often cited by papers focused on Industrial Vision Systems and Defect Detection (11 papers), Manufacturing Process and Optimization (6 papers) and Face and Expression Recognition (3 papers). Yung‐Hsiang Hung collaborates with scholars based in Taiwan. Yung‐Hsiang Hung's co-authors include Runnan Li, Mei‐Ling Huang, Mei Ling Huang, Wei-Yu Chen, Tzu-Hao Wang, Yau-Ren Shiau, Yu‐Ting Kuo, Ching‐Kao Chang, Wen-Pai Wang and Guanliang Chen and has published in prestigious journals such as Proceedings of the IEEE, Expert Systems with Applications and Measurement.

In The Last Decade

Yung‐Hsiang Hung

22 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yung‐Hsiang Hung Taiwan	9	145	123	68	55	46	24	520
Hongyi Yao China	21	142 1.0×	196 1.6×	58 0.9×	36 0.7×	85 1.8×	72	1.4k
Runnan Li Taiwan	4	89 0.6×	109 0.9×	66 1.0×	55 1.0×	46 1.0×	8	433
Xiaogang Dong China	13	85 0.6×	144 1.2×	47 0.7×	110 2.0×	13 0.3×	60	531
Monther Alhamdoosh Australia	11	179 1.2×	158 1.3×	42 0.6×	43 0.8×	54 1.2×	18	563
Shaobin Chen China	14	114 0.8×	186 1.5×	36 0.5×	123 2.2×	23 0.5×	54	667
Suling Xu China	16	216 1.5×	106 0.9×	40 0.6×	31 0.6×	81 1.8×	53	763
Jun Kato Japan	18	57 0.4×	224 1.8×	41 0.6×	83 1.5×	76 1.7×	80	1.1k
Farhad Maleki Canada	14	121 0.8×	197 1.6×	59 0.9×	22 0.4×	20 0.4×	48	737
Jiamin Huang China	16	83 0.6×	82 0.7×	29 0.4×	31 0.6×	19 0.4×	48	700

Countries citing papers authored by Yung‐Hsiang Hung

Since Specialization

Citations

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

Fields of papers citing papers by Yung‐Hsiang Hung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung‐Hsiang Hung

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

All Works

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20 of 20 papers shown

Hung, Yung‐Hsiang, et al.. (2024). Tool Wear Classification Based on Support Vector Machine and Deep Learning Models. Sensors and Materials. 36(11). 4815–4815.

Hung, Yung‐Hsiang, Mei‐Ling Huang, Wen-Pai Wang, & Guanliang Chen. (2024). Hybrid Approach Combining Simulated Annealing and Deep Neural Network Models for Diagnosing and Predicting Potential Failures in Smart Manufacturing. Sensors and Materials. 36(1). 49–49. 2 indexed citations

Chen, Kuen‐Suan, et al.. (2022). Multiple Manufacturing Processing Target Value Setting Models: A Case Study on Grinding and Polishing Processes of the Electric Vehicle Motor Shaft. Journal of Testing and Evaluation. 50(3). 1468–1484. 1 indexed citations

Huang, Mei‐Ling, et al.. (2015). Combining Taguchi Method with fuzzy inference on process optimization for fiber manufacturing. Fibers and Polymers. 16(12). 2670–2681. 1 indexed citations

Huang, Mei Ling, et al.. (2014). SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier. The Scientific World JOURNAL. 2014. 1–10. 264 indexed citations

Huang, Mei‐Ling, et al.. (2014). Diagnostic Prediction of Vertebral Column Using Rough Set Theory and Neural Network Technique. Information Technology Journal. 13(5). 874–884. 2 indexed citations

Hung, Yung‐Hsiang & Mei‐Ling Huang. (2014). A multi-class IC package type classifier based on kernel-based nonlinear LS-SVM method. International Journal of Computational Intelligence Systems. 7(3). 472–472. 2 indexed citations

Hung, Yung‐Hsiang, et al.. (2013). The Application of Recurrent Artificial Neural Network in Chiller Energy Analysis Simulation. Information Technology Journal. 12(4). 720–727. 1 indexed citations

Hung, Yung‐Hsiang. (2012). Applying the fuzzy analytic network process to the selection of an advanced integrated circuit (IC) packaging process development project. International Journal of the Physical Sciences. 7(2). 4 indexed citations

10.

Hung, Yung‐Hsiang, et al.. (2011). Chiller Energy Saving Optimization using Artificial Neural Networks. Journal of Applied Sciences. 11(16). 3008–3014. 3 indexed citations

11.

Huang, Mei‐Ling, et al.. (2010). Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification Diagnosis. Journal of Medical Systems. 36(2). 407–414. 63 indexed citations

12.

Huang, Mei‐Ling, Yung‐Hsiang Hung, & Wei-Yu Chen. (2009). Neural Network Classifier with Entropy Based Feature Selection on Breast Cancer Diagnosis. Journal of Medical Systems. 34(5). 865–873. 41 indexed citations

13.

Hung, Yung‐Hsiang, et al.. (2009). A Neural Network-Based Prediction Model in Embedded Processes of Gold Wire Bonding Structure for Stacked Die Package. Proceedings of the IEEE. 97(1). 78–83. 3 indexed citations

14.

Hung, Yung‐Hsiang. (2009). A neural network classifier with rough set-based feature selection to classify multiclass IC package products. Advanced Engineering Informatics. 23(3). 348–357. 14 indexed citations

15.

Hung, Yung‐Hsiang, et al.. (2008). Applying PCA and Fixed Size LS-SVM Method for Large Scale Classification Problems. Information Technology Journal. 7(6). 890–896. 9 indexed citations

16.

Hung, Yung‐Hsiang, et al.. (2007). Optimization of Fuzzy Controller of Permanent Magnet Synchronous Motor. Journal of Applied Sciences. 7(19). 2725–2735. 6 indexed citations

17.

Hung, Yung‐Hsiang. (2007). Optimal process parameters design for a wire bonding of ultra‐thin CSP package based on hybrid methods of artificial intelligence. Microelectronics International. 24(3). 3–10. 10 indexed citations

18.

Hung, Yung‐Hsiang & Mei‐Ling Huang. (2006). IMPROVING THE PLASTIC BALL GRID ARRAY ASSEMBLY YIELD: A CASE STUDY. Journal of the Chinese Institute of Industrial Engineers. 23(4). 311–318. 1 indexed citations

19.

Huang, Mei‐Ling & Yung‐Hsiang Hung. (2006). Combining radial basis function neural network and genetic algorithm to improve HDD driver IC chip scale package assembly yield. Expert Systems with Applications. 34(1). 588–595. 17 indexed citations

20.

Hung, Yung‐Hsiang, Mei‐Ling Huang, & Ching‐Kao Chang. (2005). Optimizing the controller IC for micro HDD process based on Taguchi methods. Microelectronics Reliability. 46(7). 1183–1188. 6 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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