陳建智   Chien-Chih Chen

一、學歷 Education

二、經歷 Experience

A. 學術經歷 Academic Positions

B. 業界經歷 Industry Experience

三、研究領域及專長 Research Areas & Expertise

目前研究方向 Current Focus

既有專長 Established Expertise

應用領域 Application Domains

四、研究成果與期刊論文 Research Output & Journal Papers

研究成果統計 Research Output Summary

期刊論文 Journal Papers

* 括號內 [SCI, IF = X.X] 為收錄資料庫及出版當年期刊影響係數。

• Chang, T.-Y.*, Chen, C.-C.*, Hsu, C.-H., Law, F.-K., & Chang, H.-L. (2026). A Gaussian Mixture Model-Based Machine Learning Framework for Reference-Food Carbon Footprint Estimation in the Food and Beverage Sector. Symmetry, 18(10), 1745. https://doi.org/10.3390/sym18101745 [SCI, IF = 2.2]
• Chen, C.-C., Lin, Y.-S., Chen, H.-Y.*, Sun, W.-Y., & Kuo, C.-J. (2025). Anomaly detection in wafer grinding using accumulated-generating-operation-processed in-process sensor data and ensemble learning: A case study. Sensors and Materials, 37(12), 5501–5516. [SCI, IF = 1.0]
• Chang, Y.-S., Lin, C.-W., & Chen, C.-C.* (2025). AI-driven augmentative and alternative communication system for communication enhancement in cerebral palsy using American Sign Language recognition. Sensors and Materials, 37(9), 3841–3853. https://doi.org/10.18494/SAM5710 [SCI, IF = 1.0]
• Chen, C.-C., & Tsai, C.-M.* (2025). Interval forecasting with grey models: A novel learning procedure for improved decision-making. Grey Systems: Theory and Application, 15(3), 602–619. https://doi.org/10.1108/GS-11-2024-0135 [SCI, IF = 3.2]
• Hsu, H.-C., Chang, C.-W., Chen, C.-C., & Pan, C.-Y.* (2024). Natural ventilation: Optimizing window opening size for CO₂ concentration control and thermal comfort on nonwindward facades. Indoor Air, 2024, Article 1435400. https://doi.org/10.1155/2024/1435400 [SCI, Q1]
• Chen, C.-C., Lin, Y.-S., & Chen, H.-Y. (2024). Tackling class-imbalanced learning issues based on local neighborhood information and generative adversarial networks. Sensors and Materials, 36(11), 4835–4847. https://doi.org/10.18494/SAM5224 [SCI, Q4]
• Chen, H.-Y., Chen, C.-C., & Lin, Y.-S.* (2024). Exploring the psychological mechanisms underlying exquisite poverty and consumption intentions among Generation Z. Sensors and Materials, 36(11), 4801–4813. https://doi.org/10.18494/SAM5203 [SCI, Q4]
• Chung, H.-W., Chang, C.-K., Huang, T.-H., Chen, L.-C., Chen, H.-L., Yang, S.-T., Chen, C.-C.*, & Wang, K.* (2023). Mobile device-based video screening for infant head lag: An exploratory study. Children, 10, Article 1239. https://doi.org/10.3390/children10071239 [SCI, IF = 2.835]
• Chen, Y.-Y., Wang, K. C.*, Chung, H.-W., Chen, C.-C., Huang, B.-H., & Lu, I.-W. (2023). Multi-person pose estimation using an ordinal depth-guided convolutional neural network. Journal of Information Science and Engineering, 39(6), 1403–1420. https://doi.org/10.6688/JISE.202311_39(6).0010 [SCI, IF = 1.142]
• Chang, C.-J.*, Dai, W.-L., Li, D.-C., Chen, C.-C., & Li, G. (2023). An extrapolation non-equigap grey model for operation management. Journal of Grey System, 35(1), 101–112. [SCI, IF = 1.3]
• Chang, C.-J.*, Chen, C.-C., Dai, W.-L., & Li, G. (2021). A new grey prediction model considering the data gap compensation. Grey Systems: Theory and Application, 11(4), 650–663. https://doi.org/10.1108/GS-07-2020-0087 [SCI, IF = 3.321]
• Chen, C.-C., Chang, C.-J., Zhuang, Z.-Y., & Li, D.-C. (2020). An envelopment learning procedure for improving prediction accuracies of grey models. Computers & Industrial Engineering, 139, Article 106185. https://doi.org/10.1016/j.cie.2019.106185 [SCI, IF = 3.518]
• Hsu, H.-C., Chang, S., Chen, C.-C., & Wu, I.-C.* (2020). Knowledge-based system for resolving design clashes in building information models. Automation in Construction, 110, Article 103001. https://doi.org/10.1016/j.autcon.2019.103001 [SCI, IF = 4.313]
• Lin, Y.-S., Li, D.-C.*, Chen, C.-C., & Chen, H.-Y. (2020). Defective recognition with MTD-based non-equigap grey models. Journal of Grey System, 32(3), 11–20. [SCI, IF = 1.3]
• Chang, C.-J., Li, D.-C.*, Chen, C.-C., & Chen, W.-C. (2019). Extrapolation-based grey model for small-data-set forecasting. Economic Computation and Economic Cybernetics Studies and Research, 53(1), 171–182. https://doi.org/10.24818/18423264/53.1.19.11 [SCI, SSCI]
• Li, D.-C., Lin, L.-S.*, Chen, C.-C., & Yu, W.-H. (2019). Using virtual samples to improve learning performance for small datasets with multimodal distributions. Soft Computing, 23(22), 11883–11900. https://doi.org/10.1007/s00500-018-03744-z [SCI, IF = 2.367]
• Chang, C.-J.*, Dai, W.-L., Li, D.-C., & Chen, C.-C. (2018). Latent-function-based residual discrete grey model for short-term demand forecasting. Cybernetics and Systems, 49(3), 170–180. https://doi.org/10.1080/01969722.2018.1448228 [SCI, IF = 1.197]
• Li, D.-C., Yeh, C.-W.*, Chen, C.-C., & Wang, Y.-T. (2018). A new grey prediction model for the return material authorization process in the TFT-LCD industry. International Journal of Advanced Manufacturing Technology, 96(5–8), 2149–2160. https://doi.org/10.1007/s00170-018-1754-y [SCI, IF = 2.209]
• Li, D.-C.*, Lin, W.-K., Chen, C.-C., Chen, H.-Y., & Lin, L.-S. (2018). Rebuilding sample distributions for small dataset learning. Decision Support Systems, 105, 66–76. https://doi.org/10.1016/j.dss.2017.10.013 [SCI, IF = 3.222]
• Li, D.-C.*, Lin, W.-K., Lin, L.-S., Chen, C.-C., & Huang, W.-T. (2016). The attribute-trend-similarity method to improve learning performance for small datasets. International Journal of Production Research, 55(7), 1898–1913. https://doi.org/10.1080/00207543.2016.1213447 [SCI, IF = 2.325]
• Li, D.-C., Yeh, C.-W.*, Chen, C.-C., & Shih, H.-T. (2016). Using a diffusion wavelet neural network for short-term time series learning in the wafer level chip scale package process. Journal of Intelligent Manufacturing, 27(6), 1261–1272. https://doi.org/10.1007/s10845-014-0949-9 [SCI, IF = 3.035]
• Chang, C.-J.*, Dai, W.-L., & Chen, C.-C. (2015). A novel procedure for multimodel development using the grey silhouette coefficient. Journal of the Operational Research Society, 66(11), 1887–1894. https://doi.org/10.1057/jors.2015.17 [SCI, IF = 1.225]
• Li, D.-C.*, Chen, W.-C., Chang, C.-J., Chen, C.-C., & Wen, I.-H. (2015). Practical information diffusion techniques to accelerate new product pilot runs. International Journal of Production Research, 53(17), 5310–5319. https://doi.org/10.1080/00207543.2015.1032437 [SCI, IF = 2.325]
• Chang, C.-J., Li, D.-C.*, Huang, Y.-H., & Chen, C.-C. (2015). A novel gray forecasting model based on the box plot for small manufacturing data sets. Applied Mathematics and Computation, 265, 400–408. https://doi.org/10.1016/j.amc.2015.05.006 [SCI, IF = 1.738]
• Li, D.-C.*, Huang, W.-T., Chen, C.-C., & Chang, C.-J. (2014). Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants. Neurocomputing, 142, 73–85. https://doi.org/10.1016/j.neucom.2014.03.043 [SCI, IF = 3.317]
• Chang, C.-J.*, Li, D.-C., Dai, W.-L., & Chen, C.-C. (2014). A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting. Neurocomputing, 129, 343–349. https://doi.org/10.1016/j.neucom.2013.09.024 [SCI, IF = 3.317]
• Chang, C.-J., Li, D.-C.*, Chen, C.-C., & Chen, C.-S. (2014). A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities. Computers & Industrial Engineering, 67(1), 139–145. https://doi.org/10.1016/j.cie.2013.11.002 [SCI, IF = 2.623]
• Chang, C.-J.*, Li, D.-C., Chen, C.-C., & Dai, W.-L. (2013). A grey-based rolling procedure for short-term forecasting using limited time series data. Economic Computation and Economic Cybernetics Studies and Research, 47(3), 75–90. [SCI, SSCI, IF = 0.420]
• Chang, C.-J., Li, D.-C.*, Dai, W.-L., & Chen, C.-C. (2013). Utilizing an adaptive grey model for short-term time series forecasting: A case study of wafer-level packaging. Mathematical Problems in Engineering, 2013, Article 526806. https://doi.org/10.1155/2013/526806 [SCI, IF = 1.383]
• Li, D.-C.*, Huang, W.-T., Chen, C.-C., & Chang, C.-J. (2013). Employing virtual samples to build early high-dimensional manufacturing models. International Journal of Production Research, 51(11), 3206–3224. https://doi.org/10.1080/00207543.2012.746795 [SCI, IF = 2.325]
• Li, D.-C., Chang, C.-J.*, Chen, C.-C., & Chen, W.-C. (2012). A grey-based fitting coefficient to build a hybrid forecasting model for small data sets. Applied Mathematical Modelling, 36(10), 5101–5108. https://doi.org/10.1016/j.apm.2011.12.050 [SCI, IF = 2.350]
• Li, D.-C.*,Chen, C.-C., Chen, W.-C., & Chang, C.-J. (2012). Employing dependent virtual samples to obtain more manufacturing information in pilot runs. International Journal of Production Research, 50(23), 6886–6903. https://doi.org/10.1080/00207543.2011.631603 [SCI, IF = 2.325]
• Li, D.-C.*, Chen, C.-C., Chang, C.-J., & Chen, W.-C. (2012). Employing box-and-whisker plots for learning more knowledge in TFT-LCD pilot runs. International Journal of Production Research, 50(6), 1539–1553. https://doi.org/10.1080/00207543.2011.555430 [SCI, IF = 2.325]
• Li, D.-C.*, Chen, C.-C., Chang, C.-J., & Lin, W.-K. (2012). A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems. Expert Systems with Applications, 39(1), 1575–1581. https://doi.org/10.1016/j.eswa.2011.08.071 [SCI, IF = 3.928]
• Li, D.-C.*, Chang, C.-J., Chen, C.-C., & Chen, W.-C. (2012). Forecasting short-term electricity consumption using the adaptive grey-based approach: An Asian case. Omega, 40(6), 767–773. https://doi.org/10.1016/j.omega.2011.07.007 [SCI, SSCI, IF = 4.029]
• Li, D.-C.*, Chen, W.-C., Liu, C.-W., Chang, C.-J., & Chen, C.-C. (2012). Determining manufacturing parameters to suppress system variance using linear and non-linear models. Expert Systems with Applications, 39(4), 4020–4025. https://doi.org/10.1016/j.eswa.2011.09.067 [SCI, IF = 3.928]
• Li, D.-C.*, Chang, C.-J., Chen, W.-C., & Chen, C.-C. (2011). An extended grey forecasting model for omnidirectional forecasting considering data gap difference. Applied Mathematical Modelling, 35(10), 5051–5058. https://doi.org/10.1016/j.apm.2011.04.006 [SCI, IF = 2.326]
• Li, D.-C.*, Chang, C.-J., Chen, C.-C., & Chen, C.-S. (2010). Using non-equigap grey model for small data set forecasting: A color filter manufacturing example. Journal of Grey System, 22(4), 375–382. [SCI, IF = 0.370]
• Li, D.-C.*, Liu, C.-W., Fang, Y.-H., & Chen, C.-C.. (2010). A yield forecast model for pilot products using support vector regression and manufacturing experience. International Journal of Production Research, 48(18), 5481–5496. https://doi.org/10.1080/00207540903100051 [SCI, IF = 1.033]

五、研究計畫及產學實績 Research Projects

一般計畫

國科會計畫

產學合作計畫

六、競賽及獎項 Awards & Competitions

七、指導學生 Students Supervised

碩士班

國科會大專學生研究計畫

大學部專題生