| # | Document title | Authors | Year | Source | Cited by |
| 1 | A method of sensor fault detection and identification | Mehranbod N., Mehranbod N., Soroush M., Panjapornpon C. | 2005 | Journal of Process Control
15(3),pp. 321-339 | 168 |
| 2 | Calibrating detailed building energy simulation programs with measured data—part I: General methodology (RP-1051) | Reddy T.A., Maor I., Panjapornpon C. | 2007 | HVAC and R Research
13(2),pp. 221-241 | 152 |
| 3 | Calibrating detailed building energy simulation programs with measured data—part II: Application to three case study office buildings (RP-1051) | Reddy T.A., Maor I., Panjapornpon C. | 2007 | HVAC and R Research
13(2),pp. 243-265 | 82 |
| 4 | Thailand Green GDP assessment based on environmentally extended input-output model | Kunanuntakij K., Varabuntoonvit V., Vorayos N., Panjapornpon C., Mungcharoen T. | 2017 | Journal of Cleaner Production
167,pp. 970-977 | 54 |
| 5 | Model-based controller design for unstable, non-minimum-phase, nonlinear processes | Panjapornpon C., Soroush M., Seider W. | 2006 | Industrial and Engineering Chemistry Research
45(8),pp. 2758-2768 | 20 |
| 6 | Control of coupled PDEs-ODEs using input-output linearization: Application to a cracking furnace | Panjapornpon C., Limpanachaipornkul P., Charinpanitkul T. | 2012 | Chemical Engineering Science
75,pp. 144-151 | 17 |
| 7 | Estimation of water content in PEM fuel cell | Thawornkuno C., Panjapornpon C. | 2008 | Chiang Mai Journal of Science
35(1),pp. 212-220 | 14 |
| 8 | Improving energy efficiency prediction under aberrant measurement using deep compensation networks: A case study of petrochemical process | Panjapornpon C., Bardeeniz S., Hussain M.A. | 2023 | Energy
263 | 14 |
| 9 | Deep learning approach for energy efficiency prediction with signal monitoring reliability for a vinyl chloride monomer process | Panjapornpon C., Bardeeniz S., Hussain M.A. | 2023 | Reliability Engineering and System Safety
231 | 13 |
| 10 | Input-Output Linearizing Control Strategy for an Ethylene Dichloride Cracking Furnace Using a Coupled PDE-ODE Model | Tawai A., Panjapornpon C. | 2016 | Industrial and Engineering Chemistry Research
55(3),pp. 683-691 | 13 |
| 11 | Shortest-prediction-horizon non-linear model-predictive control with guaranteed asymptotic stability | Panjapornpon C., Panjapornpon C., Soroush M. | 2007 | International Journal of Control
80(10),pp. 1533-1543 | 12 |
| 12 | Control of Ethylene Dichloride Cracking Furnace Using an Analytical Model Predictive Control Strategy for a Coupled Partial Differential Equation/Ordinary Differential Equation System | Tawai A., Panjapornpon C., Dittanet P. | 2016 | Industrial and Engineering Chemistry Research
55(38),pp. 10121-10131 | 9 |
| 13 | Explainable deep transfer learning for energy efficiency prediction based on uncertainty detection and identification | Panjapornpon C., Bardeeniz S., Hussain M.A., Chomchai P. | 2023 | Energy and AI
12 | 9 |
| 14 | Energy efficiency and savings analysis with multirate sampling for petrochemical process using convolutional neural network-based transfer learning | Panjapornpon C., Bardeeniz S., Hussain M.A., Vongvirat K., Chuay-ock C. | 2023 | Energy and AI
14 | 9 |
| 15 | Reinforcement Learning Control with Deep Deterministic Policy Gradient Algorithm for Multivariable pH Process | Panjapornpon C., Chinchalongporn P., Bardeeniz S., Makkayatorn R., Wongpunnawat W. | 2022 | Processes
10(12) | 8 |
| 16 | Model predictive control of vinyl chloride monomer process by Aspen Plus Dynamics and MATLAB/Simulink co-simulation approach | Chinprasit J., Panjapornpon C. | 2020 | IOP Conference Series: Materials Science and Engineering
778(1) | 8 |
| 17 | Hybrid control scheme for anaerobic digestion in a CSTR-UASB reactor system | Tawai A., Kitsubthawee K., Panjapornpon C., Shao W. | 2020 | Applied Science and Engineering Progress
13(3),pp. 213-223 | 8 |
| 18 | Control of non-minimum-phase nonlinear systems through constrained input-output linearization | Panjapornpon C., Soroush M. | 2006 | Proceedings of the American Control Conference
2006,pp. 4522-4527 | 8 |
| 19 | Control of Anaerobic Digestion Reactor with Recirculation Using an Input-Output Linearizing Control Strategy | Tawai A., Panjapornpon C., Sriariyanun M., Cheenkachorn K. | 2018 | IFAC-PapersOnLine
51(28),pp. 109-114 | 7 |
| 20 | Development and implementation of HVAC-KBCD: A knowledge-based expert system for conceptual design of HVAC&R systems - Part 2: Application to office buildings | Maor I., Panjapornpon C., Reddy T. | 2004 | ASHRAE Transactions
110 PART 1,pp. 258-273 | 6 |
| 21 | Digital twin-aided transfer learning for energy efficiency optimization of thermal spray dryers: Leveraging shared drying characteristics across chemicals with limited data | Bardeeniz S., Panjapornpon C., Fongsamut C., Ngaotrakanwiwat P., Azlan Hussain M. | 2024 | Applied Thermal Engineering
242 | 6 |
| 22 | Optimization-Based Input/Output Linearizing Control Strategy for a pH Process with Multiple Titrant Streams | Srihawan T., Srihawan T., Panjapornpon C., Panjapornpon C., Tawai A. | 2018 | Industrial and Engineering Chemistry Research
57(41),pp. 13793-13801 | 6 |
| 23 | Optimization-Based Control Strategy with Wavelet Network Input-Output Linearizing Constraint for an Ill-Conditioned High-Purity Distillation Column | Tanakunmas P., Tanakunmas P., Panjapornpon C., Panjapornpon C., Tawai A., Dechakupt T. | 2017 | Industrial and Engineering Chemistry Research
56(31),pp. 8927-8939 | 5 |
| 24 | Real-Time Application of pH Control in a Carbon Dioxide Bubble Column Reactor by Input/Output Linearizing Control Coupled with pH Target Optimizer | Panjapornpon C., Saksomboon P., Dechakupt T. | 2019 | Industrial and Engineering Chemistry Research
58(2),pp. 771-781 | 4 |
| 25 | Feedback linearization controller design for continuous stirred-tank reactor (CSTR) in biodiesel production process | Sanposh P., Leenanithikul W., Phoojaruenchanachai S., Srinophakun P., Srinophakun T., Panjapornpon C. | 2008 | 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2008
2,pp. 613-616 | 4 |
| 26 | Nonlinear system identification of pH process using Hammerstein-Wiener model | Rattanawaorahirunkul R., Sanposh P., Panjapornpon C. | 2016 | International Conference on Electronics, Information, and Communications, ICEIC 2016
| 4 |
| 27 | Machine learning approach with a posteriori-based feature to predict service life of a thermal cracking furnace with coking deposition | Panjapornpon C., Rochpuang C., Bardeeniz S., Hussain M.A. | 2024 | Results in Engineering
22 | 4 |
| 28 | A model-based control method applicable to unstable, non-minimum-phase, nonlinear processes | Panjapornpon C., Soroush M., Seider W.D. | 2004 | Proceedings of the American Control Conference
4,pp. 2921-2924 | 3 |
| 29 | Enhancement of PHB production process in a fed-batch bioreactor using input-output linearization technique with optimal setpoints | Srisuddee S., Sriariyanun M., Tawai A., Panjapornpon C., Wijayanti H. | 2021 | Applied Science and Engineering Progress
14(2),pp. 196-205 | 3 |
| 30 | Input/output linearizing controller with Taylor series expansion for a nonminimum phase process by hardware-in-the-loop approach | Panjapornpon C., Kajornrungsilp I., Rochpuang C. | 2020 | Asia-Pacific Journal of Chemical Engineering
15(3) | 3 |
| 31 | Model-Based Control of Unstable, Non-Minimum-Phase, Nonlinear Processes | Panjapornpon C., Soroush M., Seider W. | 2003 | Proceedings of the IEEE Conference on Decision and Control
6,pp. 6151-6156 | 3 |
| 32 | Model-based estimation and control of interface level in a two-phase vertical decanter: A case study of palm-oil/water system | Chonwattana W., Panjapornpon C., Tawai A., Dechakupt T. | 2018 | Computers and Chemical Engineering
108,pp. 372-381 | 3 |
| 33 | Input/output linearization with a two-degree-of-freedom scheme for uncertain nonlinear processes | Sukkarnkha P., Panjapornpon C. | 2012 | Korean Journal of Chemical Engineering
29(6),pp. 716-723 | 3 |
| 34 | Coupled control between pH and level of a process with multititrated concentrations by input/state linearization | Srihawan T., Panjapornpon C. | 2014 | IEEE International Conference on Control and Automation, ICCA
,pp. 1031-1036 | 3 |
| 35 | Control of uncertain input-delay systems by using input/output linearization with a two-degree-of-freedom scheme | Panjapornpon C., Sukkarnkha P. | 2014 | IEEE International Conference on Control and Automation, ICCA
,pp. 473-478 | 3 |
| 36 | Monitoring and control of droplet size in a micro-channel reactor for biodiesel production | Aimerbtam N., Panjapornpon C. | 2017 | Proceedings - 2017 IEEE Conference on Systems, Process and Control, ICSPC 2017
2018-January,pp. 83-87 | 2 |
| 37 | Input/output linearization for a real-time pH control: Application on basic wastewater neutralization by carbon dioxide in a fed-batch bubble column reactor | Panjapornpon C., Saksomboon P., Juyteiy K., Chinprasit J. | 2019 | Engineering Journal
23(5),pp. 229-241 | 2 |
| 38 | Differential-geometric model-based control (DGMBC): A software package for controller design | Panjapornpon C., Soroush M., Seider W. | 2008 | Computers and Chemical Engineering
32(7),pp. 1569-1588 | 2 |
| 39 | On-line parameter estimation through dynamic inversion: A real-time study | Panjapornpon C., Panjapornpon C., Soroush M. | 2007 | Industrial and Engineering Chemistry Research
46(8),pp. 2503-2507 | 2 |
| 40 | Nonlinear model-based control for parabolic partial differential equations systems | Tawai A., Panjapornpon C. | 2008 | Chiang Mai Journal of Science
35(1),pp. 221-228 | 2 |
| 41 | A flexible pilot-scale setup for real-time studies in process systems engineering | Panjapornpon C., Panjapornpon C., Fletcher N., Soroush A. | 2006 | Chemical Engineering Education
40(1),pp. 40-45 | 1 |
| 42 | Input-output linearizing control of a thermal cracking furnace described by a coupled PDE-ODE system | Tawai A., Panjapornpon C. | 2013 | IFAC Proceedings Volumes (IFAC-PapersOnline)
46(32 PART 1),pp. 487-492 | 1 |
| 43 | Energy efficiency characteristics analysis for process diagnosis under anomaly using self-adaptive-based SHAP guided optimization | Bardeeniz S., Panjapornpon C., Fongsamut C., Ngaotrakanwiwat P., Hussain M.A. | 2024 | Energy
309 | 1 |
| 44 | Enhancing industrial sustainability in complex production systems through energy hotspot identification: A multi-task learning with layer-wise relevance propagation approach | Bardeeniz S., Panjapornpon C., Hussain M.A., Varabuntoonvit V., Jitapunkul K. | 2024 | Results in Engineering
23 | 0 |
| 45 | Artificial intelligence-driven control for enhancing carbon dioxide-based wastewater pH regulation in tubular reactor | Bardeeniz S., Panjapornpon C., Hounkim W., Dechakupt T., Tawai A. | 2025 | Computers and Chemical Engineering
192 | 0 |
| 46 | Development of physics-guided neural network framework for acid-base treatment prediction using carbon dioxide-based tubular reactor | Panjapornpon C., Chinchalongporn P., Bardeeniz S., Jitapunkul K., Hussain M.A., Satjeenphong T. | 2024 | Engineering Applications of Artificial Intelligence
138 | 0 |
| 47 | Digital twin for decision support system of industrial utility management | Satjeenphong T., Panjapornpon C., Bardeeniz S. | 2024 | Science, Engineering and Health Studies
18 | 0 |
| 48 | FAULT DETECTION AND DIAGNOSIS BY SUPPORT VECTOR MACHINES: APPLICATION TO VINYL-CHLORIDE-MONOMER PROCESS | Srirabai S., Panjapornpon C. | 2023 | Suranaree Journal of Science and Technology
30(3) | 0 |
| 49 | Optimization-based control strategy for a large-scale polyhydroxyalkanoates production in a fed-batch bioreactor using a coupled PDE-ODE system | Tawai A., Tawai A., Sriariyanun M., Sriariyanun M., Panjapornpon C. | 2023 | Green Processing and Synthesis
12(1) | 0 |
| 50 | A method of controlling unstable, non-minimum-phase, nonlinear processes | Panjapornpon C., Soroush M., Seider W.D. | 2004 | IFAC Proceedings Volumes (IFAC-PapersOnline)
37(1),pp. 821-826 | 0 |
| 51 | Biodegradable behavior of polyethylene based plastics by soil burial | Dittanet P., Boonmalert T., Leungprasert S., Panjapornpon C., Seubsai A. | 2021 | AIP Conference Proceedings
2441 | 0 |
| 52 | Production Capacity Prediction and Optimization in the Glycerin Purification Process: A Simulation-Assisted Few-Shot Learning Approach | Jitchaiyapoom T., Panjapornpon C., Bardeeniz S., Hussain M.A. | 2024 | Processes
12(4) | 0 |
| 53 | AOPC-based control for efficient uncertainty mitigation in UASB wastewater treatment with multiple manipulated variables and distributed biomass integration | Amornraksa S., Panjapornpon C., Maity S.K., Sriariyanun M., Tawai A. | 2024 | Computers and Chemical Engineering
187 | 0 |
| 54 | Observer-based input/output (I/O) linearizing control for an EDC vaporizer system | Rungrueng K., Panjapornpon C. | 2015 | Journal of the Taiwan Institute of Chemical Engineers
50,pp. 69-75 | 0 |
| 55 | Temperature control of polypropylene thermal cracking reactor by input/output linearization with two-degree-of-freedom structure | Wantawee S., Panjapornpon C., Limtrakul S., Vatanatham T. | 2015 | Journal of the Taiwan Institute of Chemical Engineers
52,pp. 72-78 | 0 |
| 56 | Input/output Linearization Control Technique for Anaerobic Digestion Reactor with Recirculation | Srisuddee S., Sriariyanun M., Panjapornpon C., Tawai A. | 2020 | E3S Web of Conferences
141 | 0 |
| 57 | Software for analytical nonlinear controller design | Panjapornpon C., Soroush M., Seider W.D. | 2006 | Proceedings of the American Control Conference
2006,pp. 4848-4853 | 0 |
| 58 | Feedback linearization-based PI controller for continuous pH process system | Rungrangpitayagon J., Poonvasin S., Sanposh P., Rattanawaorahirunkul R., Sukvichai K., Panjapornpon C. | 2017 | 2017 8th International Conference on Information and Communication Technology for Embedded Systems, IC-ICTES 2017 - Proceedings
| 0 |
| 59 | Series solution approach for designing the approximate input-output linearization controller | Kajornrungsilp I., Panjapornpon C. | 2011 | 2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011
,pp. 626-631 | 0 |
| 60 | Control of tubular reactor using finite-based I/O linearization technique | Limpanachaipornkul P., Panjapornpon C. | 2011 | 2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011
,pp. 421-426 | 0 |
| 61 | Input/output linearization control with two-degree-of-freedom structure for uncertain processes | Sukkarnkha P., Panjapornpon C. | 2011 | 2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011
,pp. 621-625 | 0 |
| 62 | Development and implementation of HVAC-KBCD: A knowledge-based expert system for conceptual design of HVAC&R systems - Part 2: Application to office buildings | Maor I., Panjapornpon C., Reddy T. | 2004 | 2004 Winter Meeting - Technical and Symposium Papers, American Society of Heating, Refrigerating and Air-Conditioning Engineers
,pp. 359-374 | 0 |