| # | 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 | 169 |
| 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 | 158 |
| 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 | 83 |
| 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 | 59 |
| 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 | 19 |
| 7 | 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, 125837 | 16 |
| 8 | 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, 109008 | 16 |
| 9 | 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), 2514 | 15 |
| 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 | 14 |
| 11 | Estimation of water content in PEM fuel cell | Thawornkuno C., Panjapornpon C. | 2008 | Chiang Mai Journal of Science,
35(1), pp. 212-220 | 14 |
| 12 | 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, 100224 | 13 |
| 13 | 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, 122431 | 12 |
| 14 | 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 |
| 15 | 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, 100258 | 11 |
| 16 | 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 | 10 |
| 17 | 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, 1657432 | 8 |
| 18 | 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), 012080 | 8 |
| 19 | 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 |
| 20 | 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, 102349 | 8 |
| 21 | 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, 133074 | 7 |
| 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 | 7 |
| 23 | 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 |
| 24 | 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 | 6 |
| 25 | 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 |
| 26 | 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, 4600508 | 4 |
| 27 | 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,
7562975 | 4 |
| 28 | 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 |
| 29 | 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, 108735 | 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), e2440 | 3 |
| 31 | 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 |
| 32 | 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 |
| 33 | 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, 102818 | 3 |
| 34 | 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, 108880 | 3 |
| 35 | 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 |
| 36 | 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 |
| 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 | 3 |
| 38 | 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 |
| 39 | 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, 6871062 | 3 |
| 40 | 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, 6870966 | 3 |
| 41 | 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 |
| 42 | 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 |
| 43 | 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 |
| 44 | 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 |
| 45 | 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), 661 | 2 |
| 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, 109500 | 1 |
| 47 | Enhancing small dataset prediction of silver nanoparticle size with deep learning and Latin hypercube sampling framework | Akkawong C., Dechakupt T., Jitapunkul K., Panjapornpon C. | 2024 | Science, Engineering and Health Studies,
18, 24020012 | 1 |
| 48 | Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes | Bardeeniz S., Panjapornpon C., Lee M. | 2025 | Energy and AI,
20, 100475 | 1 |
| 49 | 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 |
| 50 | 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 |
| 51 | 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 | 1 |
| 52 | 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 |
| 53 | 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, 01007 | 0 |
| 54 | Software for analytical nonlinear controller design | Panjapornpon C., Soroush M., Seider W.D. | 2006 | Proceedings of the American Control Conference,
2006, pp. 4848-4853, 1657488 | 0 |
| 55 | 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,
7958775 | 0 |
| 56 | 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, 5930502 | 0 |
| 57 | 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, 5930464 | 0 |
| 58 | 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, 5930501 | 0 |
| 59 | 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 |
| 60 | Self-driving surrogate modeling for optimizing targeted bio-oil yield and heating value in waste biomass-plastic co-pyrolysis | Tawai A., Bardeeniz S., Rochpuang C., Amornraksa S., Hussain M.A., Panjapornpon C. | 2025 | Journal of Analytical and Applied Pyrolysis,
190, 107158 | 0 |
| 61 | Fouling-characteristic transfer learning for improving remaining useful lifetime prediction in heat exchange unit | Bardeeniz S., Panjapornpon C., Chomchai P., Hussain M.A. | 2025 | Reliability Engineering and System Safety,
262, 111250 | 0 |
| 62 | Integrated strategy for efficient production and direct purification of EGFP from unclarified feedstocks | Liu J.L., Lin S.P., Nguyen T.D.H., Panjapornpon C., Prapainainar P., Jitapunkul K., Chiu C.Y., Liu B.L., Chen K.H., Chang Y.K. | 2025 | Biochemical Engineering Journal,
222, 109822 | 0 |
| 63 | Prioritized fault detection and diagnosis in chemical industry using production loss-guided cost matrix with self-attention mechanism | Bardeeniz S., Panjapornpon C., Jitchaiyapoom T., Wong D.S.H., Yao Y. | 2025 | Reliability Engineering and System Safety,
264, 111391 | 0 |
| 64 | Digital twin for decision support system of industrial utility management | Satjeenphong T., Panjapornpon C., Bardeeniz S. | 2024 | Science, Engineering and Health Studies,
18, 24040002 | 0 |
| 65 | 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 |
| 66 | 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), 010223 | 0 |
| 67 | Biodegradable behavior of polyethylene based plastics by soil burial | Dittanet P., Boonmalert T., Leungprasert S., Panjapornpon C., Seubsai A. | 2021 | AIP Conference Proceedings,
2441, 020002 | 0 |
| 68 | 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 |