| Development of a variable selection method for soft sensor using artificial neural network and nonnegative garrote K Sun, J Liu, JL Kang, SS Jang, DSH Wong, DS Chen Journal of Process Control 24 (7), 1068-1075, 2014 | 57 | 2014 |
| Modeling studies on absorption of CO2 by monoethanolamine in rotating packed bed JL Kang, K Sun, DSH Wong, SS Jang, CS Tan International Journal of Greenhouse Gas Control 25, 141-150, 2014 | 57 | 2014 |
| Model predictive control for improving waste heat recovery in coke dry quenching processes K Sun, CT Tseng, DSH Wong, SS Shieh, SS Jang, JL Kang, WD Hsieh Energy 80, 275-283, 2015 | 52 | 2015 |
| A comparative study on long short-term memory and gated recurrent unit neural networks in fault diagnosis for chemical processes using visualization S Mirzaei, JL Kang, KY Chu Journal of the Taiwan Institute of Chemical Engineers 130, 104028, 2022 | 40 | 2022 |
| Modelling and design of carbon dioxide absorption in rotating packed bed and packed column M Thiels, DSH Wong, CH Yu, JL Kang, SS Jang, CS Tan IFAC-PapersOnLine 49 (7), 895-900, 2016 | 40 | 2016 |
| A comparison between packed beds and rotating packed beds for CO2 capture using monoethanolamine and dilute aqueous ammonia solutions JL Kang, DSH Wong, SS Jang, CS Tan International Journal of Greenhouse Gas Control 46, 228-239, 2016 | 37 | 2016 |
| Modeling amine aerosol growth at realistic pilot plant conditions Y Zhang, JL Kang, S Fulk, G Rochelle Energy Procedia 114, 1045-1060, 2017 | 31 | 2017 |
| Development of robust and physically interpretable soft sensor for industrial distillation column using transfer learning with small datasets YD Hsiao, JL Kang, DSH Wong Processes 9 (4), 667, 2021 | 30 | 2021 |
| Comparison of rotating packed bed and packed bed absorber in pilot plant and model simulation for CO2 capture N Chamchan, JY Chang, HC Hsu, JL Kang, DSH Wong, SS Jang, ... Journal of the Taiwan Institute of Chemical Engineers 73, 20-26, 2017 | 30 | 2017 |
| Visualization analysis for fault diagnosis in chemical processes using recurrent neural networks JL Kang Journal of the Taiwan Institute of Chemical Engineers 112, 137-151, 2020 | 28 | 2020 |
| Investigation of hydrodynamic behavior in random packing using CFD simulation JL Kang, YC Ciou, DY Lin, DSH Wong, SS Jang Chemical Engineering Research and Design 147, 43-54, 2019 | 26 | 2019 |
| Robust predictions of catalyst deactivation of atmospheric residual desulfurization H Al Bazzaz, JL Kang, D Chehadeh, D Bahzad, DSH Wong, SS Jang Energy & Fuels 29 (11), 7089-7100, 2015 | 26 | 2015 |
| Cultivation of Rhodobacter sphaeroides in the Stirred Bioreactor with Different Feeding Strategies for CoQ10 Production HW Yen, CY Feng, JL Kang Applied biochemistry and biotechnology 160, 1441-1449, 2010 | 25 | 2010 |
| Physically consistent soft-sensor development using sequence-to-sequence neural networks CH Chou, H Wu, JL Kang, DSH Wong, Y Yao, YC Chuang, SS Jang, ... IEEE Transactions on Industrial Informatics 16 (4), 2829-2838, 2019 | 23 | 2019 |
| Modeling amine aerosol growth in the absorber and water wash JL Kang, Y Zhang, S Fulk, GT Rochelle Energy Procedia 114, 959-976, 2017 | 22 | 2017 |
| Lactic acid production directly from starch in a starch-controlled fed-batch operation using Lactobacillus amylophilus HW Yen, JL Kang Bioprocess and biosystems engineering 33, 1017-1023, 2010 | 18 | 2010 |
| Experiment and modeling studies on absorption of CO2 by dilute ammonia in rotating packed bed JL Kang, ZJ Luo, JL Liu, K Sun, DSH Wong, SS Jang, CS Tan, JF Shen Energy Procedia 63, 1308-1313, 2014 | 15 | 2014 |
| Robust control and training risk reduction for boiler level control using two-stage training deep deterministic policy gradient JL Kang, S Mirzaei, JA Zhou Journal of the Taiwan Institute of Chemical Engineers 130, 103956, 2022 | 12 | 2022 |
| Digital twin model and dynamic operation for a plant-scale solid oxide fuel cell system JL Kang, CC Wang, DSH Wong, SS Jang, CH Wang Journal of the Taiwan Institute of Chemical Engineers 118, 60-67, 2021 | 11 | 2021 |
| Machine learning of molecular classification and quantum mechanical calculations JJ Chang, JL Kang, DSH Wong, CH Chou, HH Hsu, CH Huang, ST Lin Computer Aided Chemical Engineering 46, 787-792, 2019 | 10 | 2019 |
