Tzu-Liang Tseng

4.4k total citations
165 papers, 3.3k citations indexed

About

Tzu-Liang Tseng is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Tzu-Liang Tseng has authored 165 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Industrial and Manufacturing Engineering, 31 papers in Artificial Intelligence and 29 papers in Mechanical Engineering. Recurrent topics in Tzu-Liang Tseng's work include Rough Sets and Fuzzy Logic (22 papers), Manufacturing Process and Optimization (18 papers) and Additive Manufacturing and 3D Printing Technologies (17 papers). Tzu-Liang Tseng is often cited by papers focused on Rough Sets and Fuzzy Logic (22 papers), Manufacturing Process and Optimization (18 papers) and Additive Manufacturing and 3D Printing Technologies (17 papers). Tzu-Liang Tseng collaborates with scholars based in United States, Taiwan and China. Tzu-Liang Tseng's co-authors include Yirong Lin, Hoejin Kim, Yongjin Kwon, Yuxin Wen, Wei Qian, Chun‐Che Huang, Jianying Zhang, Wenqing Sun, D. Villagrán and Fernando G. Torres and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and European Journal of Operational Research.

In The Last Decade

Tzu-Liang Tseng

154 papers receiving 3.2k 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-Liang Tseng United States 31 891 641 633 585 499 165 3.3k
Rubén Morales-Menéndez Mexico 32 412 0.5× 629 1.0× 986 1.6× 321 0.5× 263 0.5× 195 4.4k
Jianrong Tan China 39 529 0.6× 1.7k 2.6× 367 0.6× 501 0.9× 368 0.7× 425 6.1k
Gang Xiong China 35 376 0.4× 784 1.2× 544 0.9× 865 1.5× 887 1.8× 447 5.5k
Ashutosh Tiwari United Kingdom 44 349 0.4× 907 1.4× 658 1.0× 261 0.4× 627 1.3× 270 6.8k
Chun‐Hsien Chen Singapore 46 358 0.4× 834 1.3× 624 1.0× 360 0.6× 451 0.9× 217 7.3k
Chao Liu China 36 518 0.6× 1.1k 1.7× 451 0.7× 517 0.9× 453 0.9× 200 6.2k
Hongnian Yu United Kingdom 41 1.3k 1.4× 620 1.0× 609 1.0× 172 0.3× 875 1.8× 352 6.5k
Azlan Mohd Zain Malaysia 35 609 0.7× 1.9k 3.0× 928 1.5× 187 0.3× 1.2k 2.4× 151 4.4k
Weidong Li China 42 422 0.5× 1.6k 2.5× 423 0.7× 633 1.1× 832 1.7× 327 5.8k
Samuel H. Huang United States 35 488 0.5× 1.2k 1.9× 320 0.5× 1.4k 2.4× 187 0.4× 107 6.3k

Countries citing papers authored by Tzu-Liang Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Tzu-Liang Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu-Liang Tseng. 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-Liang Tseng. The network helps show where Tzu-Liang Tseng may publish in the future.

Co-authorship network of co-authors of Tzu-Liang Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu-Liang Tseng. A scholar is included among the top collaborators of Tzu-Liang Tseng 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-Liang Tseng. Tzu-Liang Tseng 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.
Lin, Chin‐Yi, et al.. (2025). A Digital Twin Framework With Bayesian Optimization and Deep Learning for Semiconductor Process Control. IEEE Access. 13. 50821–50837. 5 indexed citations
2.
Lin, Chin‐Yi, et al.. (2025). A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing. Applied Sciences. 15(12). 6500–6500. 1 indexed citations
3.
Lin, Chin‐Yi, et al.. (2025). Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models. IEEE Transactions on Semiconductor Manufacturing. 38(3). 642–658. 2 indexed citations
4.
Tseng, Tzu-Liang, et al.. (2025). Methodology for Enablement of Human Digital Twins for Quality Assurance in the Aerospace Manufacturing Domain. Sensors. 25(11). 3362–3362. 1 indexed citations
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Lin, Chin‐Yi, et al.. (2025). Large Pre-Trained Models and Few-Shot Fine-Tuning for Virtual Metrology: A Framework for Uncertainty-Driven Adaptive Process Control in Semiconductor Manufacturing. IEEE Transactions on Automation Science and Engineering. 22. 15351–15370. 2 indexed citations
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Tseng, Tzu-Liang, et al.. (2024). A deep learning framework for automated anomaly detection and localization in fused filament fabrication. Manufacturing Letters. 41. 1526–1534. 4 indexed citations
10.
Tseng, Tzu-Liang, et al.. (2024). Machine-Learning-Enabled Diagnostics with Improved Visualization of Disease Lesions in Chest X-ray Images. Diagnostics. 14(16). 1699–1699. 3 indexed citations
11.
Wen, Yuxin, et al.. (2022). Time-to-event modeling for hospital length of stay prediction for COVID-19 patients. SHILAP Revista de lepidopterología. 9. 100365–100365. 10 indexed citations
12.
Renteria, Anabel, et al.. (2021). Direct ink write multi-material printing of PDMS-BTO composites with MWCNT electrodes for flexible force sensors. Flexible and Printed Electronics. 7(1). 15001–15001. 39 indexed citations
13.
Wen, Yuxin, Paras Mandal, Shantanu Chakraborty, et al.. (2019). Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty. IEEE Transactions on Neural Networks and Learning Systems. 31(4). 1134–1144. 80 indexed citations
14.
Akundi, Aditya, Eric Smith, & Tzu-Liang Tseng. (2018). Integration of Additive Manufacturing Technology in Curricula to Enhance Concept-Based Learning. 2 indexed citations
15.
Chung, Wingyan & Tzu-Liang Tseng. (2010). Extracting business intelligence from online product reviews: An experiment of automatic rule-induction. Journal of the Association for Information Systems. 233. 6 indexed citations
16.
Huang, Chun‐Che, et al.. (2010). Attribute-oriented Rule Induction Using Rough Set Theory : A Case Study of Customer Relationship Management. 2 indexed citations
17.
Chiou, Richard, et al.. (2009). Enhancement of Online Robotics Learning Using Real-Time 3D Visualization Technology. SHILAP Revista de lepidopterología. 8(3). 46–51. 1 indexed citations
18.
Chiou, Richard, Yongjin Kwon, & Tzu-Liang Tseng. (2008). Java programming for online quality control laboratory integrated with remote robot. 18(3). 42–54. 2 indexed citations
19.
Ho, Johnny C., Yih‐Long Chang, & Tzu-Liang Tseng. (2006). Heuristics for Scheduling Operations in MRP: Flowshop Case. Academy of Information and Management Sciences journal. 9(2). 111.
20.
Tseng, Tzu-Liang, et al.. (2004). Applying data mining approaches for defect diagnosis in manufacturing industry. 1441–1447. 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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