陳家正助理教授的研究著作與獎項等資料如下:
 

A.    期刊論文
1.    Chien, C.-F. and Chen, C.-C. (2021). Adaptive parametric yield enhancement approach using collinear multivariate model for semiconductor intelligent manufacturing. Applied Soft Computing, 108, 107385. (SCI) (2022 Impact Factor: 6.725)

2.    Chien, C.-F. and Chen, C.-C. (2020). Data-driven framework for tool health monitoring and maintenance strategy for smart manufacturing. IEEE Transactions on Semiconductor Manufacturing, 33(4), 644-652. (SCI) (2022 Impact Factor: 2.796)

3.    Chu, P.-C., Chen, C.-C., and Chien, C.-F. (2016). Analyzing TFT-LCD array big data for yield enhancement and an empirical study of TFT-LCD manufacturing in Taiwan. International Journal of Industrial Engineering: Theory, Applications and Practice, 23(5), 318-331. (SCI) (2022 Impact Factor: 0.528)

4.    Chang,* J.-G., Chen,* C.-C., Wu*, Y.-Y., Che, T.-F., Huang, Y.-S., Yeh, K.-T., Shieh, S., and Yang, P.-C. (2016). Uncovering synthetic lethal interactions for therapeutic targets and predictive markers in lung adenocarcinoma. Oncotarget, 45, 73664-73680. (*These authors have contributed equally to this work). (SCI) (2022 Impact Factor: 3.331)

5.    Chen, C.-C. and Barnhart, H. (2013). Assessing agreement with intraclass correlation coefficient and concordance correlation coefficient for data with repeated measures. Computational Statistics and Data Analysis, 60, 132-145. (SCI) (2022 Impact Factor: 1.681)

6.    Feng, S., Wang, SC., Chen, C.-C., and Lan, L. (2011). GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits. BMC Genetics, 12:12. (SCI) (2022 Impact Factor: 2.797)

7.    Chen, C.-C. and Barnhart, H. (2011). Assessing agreement with repeated measures for random observers. Statistics in Medicine, 30, 3546-3559. (SCI) (2022 Impact Factor: 2.497).


B.    會議論文
1.    Sackpraseuth, A., Chen, C.-C., and Chien, Chen-Fu (2019). Big Data Analysis and Algorithm Investigation for YouTube Study. International Symposium on Industry3.5 and Intelligent Manufacturing, Sep. 25-27, Hsinchu, Taiwan.

2.    Chen, C.-C., Ting, W.-J., and Chien, C.-F. (2019). Big Data Analytics for Tool Health Monitoring in Panel Industry. International Symposium on Semiconductor Manufacturing Intelligence, April 19-21, Hangzhou, China.

3.    丁韋如、陳家正、簡禎富(2018)。「利用偏最小平方迴歸與指數加權移動平均管制圖建構預測性維修策略—以化學氣相沉積機台為例」,2018中華民國科技管理學會年會暨論文研討會論文集,11月30日,高雄,台灣。

4.    Chen, C.-C. and Chien, C.-F. (2017). Data Ming for Cell Process Monitoring in TFT-LCD Manufacturing with An Empirical Study. Proceedings of 18th Asia Pacific Industrial Engineering & Management Systems Conference, December 3-6, Yogyakarta, Indonesia.

5.    Chien, C.-F., Lee, P.-C., Dou, R., Chen, Y.-J., and Chen, C.-C. (2017). Modeling Collinear WATs for Parametric Yield Enhancement in Semiconductor Manufacturing. Proceedings of 13th IEEE International Conference on Automation Science and Engineering, August 20-23, Xi'an, China.

6.    Chen, C.-C. and Shieh, S. (2013). Predicting biomarkers for overall survival of lung cancer patients. The 22th South Taiwan Statistics Conference and 2013 Chinese Institute of Probability and Statistics Annual Meeting, June 28-29, Kaohsiung, Taiwan.

7.    Chen, C.-C. and Barnhart, H. (2009). Assessing agreement with repeated measures for random observers. Contributed paper, Joint Statistical Meetings, Washington, DC, August, USA.

8.    Chen, C.-C. and Barnhart, H. (2007). Comparison of ICC and CCC for assessing agreement for data without and with replications. Contributed paper, Joint Statistical Meetings, Salt Lake City, UT, July, USA.