• Santibañez – Aguilar, J.E., Quiroz – Ramírez, J.J., Sánchez – Ramírez, E., Segovia – Hernández, J.G., Florez – Tlacuahuac, A., Ponce – Ortega, J.M., 2022, Marginalization Index as Social Measure for Acetone-Butanol-Ethanol Supply Chain Planning, Renewable and Sustainable Energy Reviews, 154, 111816.
• Alcocer - García, H., Segovia – Hernández, J.G., Sánchez – Ramírez, E., Tominac, P., Zavala, V.M., 2022, Coordinated Markets for Furfural and Levulinic Acid from Residual Biomass: A Case Study in Guanajuato, Mexico, Comput. Chem. Eng., 156, 107568.
• González – Navarrete, C., Sánchez - Ramírez, E., Ramírez – Márquez, C., Hernández, S., Cossío – Vargas, E., Segovia - Hernández, J.G., 2022, Innovative Reactive Distillation Process for the Sustainable Purification of Lactic Acid, Ind. Eng. Chem. Res., 61, 621 – 637.
• Sánchez - Ramírez, E., Hernández, S., Romero – García, A.G., Alcocer – García, H., Segovia - Hernández, J.G., 2022, Synthesis and Optimization of Sustainable Processes Based on Liquid-Liquid Extraction to Purify Methyl Ethyl Ketone, Chemical Engineering and Processing: Process Intensification, 171, 108522.
• Contreras – Zarazúa, G., Martín – Martín, M., Sánchez - Ramírez, E., Segovia - Hernández, J.G., 2022, Furfural Production from Agricultural Residues Using Different Intensified Separation and Pretreatment Alternatives. Economic and Environmental Assessment, Chemical Engineering and Processing: Process Intensification, 171, 108569.
• Gómez – Salazar, J.A., Patlán - González, J., Sosa – Morales, M.E., Segovia – Hernandez, J.G., Sánchez – Ramírez, E., Ramírez – Márquez, C., 2022, Multi-Objective Optimization of Sustainable Red Prickly Pear (Opuntia streptacantha) Peel Drying and Biocompounds Extraction Using a Hybrid Stochastic Algorithm, Food and Bioproducts Processing,132, 155 – 166.
• González – Chávez, J.J., Arenas – Grimaldo, C., Amaya – Delgado, L., Vázquez – Núñez, E., Suarez – Vazquez, S., Cruz- López, A., Segovia – Hernández, J.G., Pérez – Vega, S., Salmerón, I., Molina - Guerrero, C.E., 2022, Sotol Bagasse (Dasilyrium , spp.) as a Novel Feedstock to Produce Bioethanol 2G: Bioprocess Design and Biomass Characterization., Industrial Crops and Products, 178, 114571.
• Segovia – Hernandez, J.G., Sánchez – Ramírez, E., 2022, Current Status and Future Trends of Computer-Aided Process Design, Applied to Purification of Liquid Biofuels, Using Process Intensification: A Short Review, Chemical Engineering and Processing: Process Intensification, 172, 108804.
• Segovia – Hernandez, J.G., Gómez - Castro, F.I., Romero – Izquierdo, A.G., Conde – Mejía, C., López – Molina, A., 2022, Partial Energy Integration between Biofuels Production Processes: Effect on Costs, CO2 Emissions and Process Safety, Process Safety and Environmental Protection, 159, 918 – 930.
• Romero- García, A.G., Mora - Morales, C., Chargoy - Amador, J.P., Ramírez - Corona, N., Sánchez - Ramírez, E., Segovia - Hernández, J.G., 2022, Implementing CO2 Capture Process in Power Plants: Optimization Procedure and Environmental Impact, Chemical Engineering Research and Design,180, 232 – 242.
• Amezquita - Ortiz, J.M., Alcocer - García, H., Contreras - Zarazua, G., Fontalvo, J., Segovia - Hernández, J.G., 2022, Sustainable Process Design for the Acetone Purification Produced Via Dehydrogenation of 2-Propanol, Ind. Eng. Chem. Res., 61, 3660 – 3671.
• Ramírez - Márquez, C., Munguía - López, A.C., Mariano, M., Segovia - Hernández, J.G., Ponce – Ortega, J.M., 2022, Optimal design of a Solar-Grade Silicon Refinery Incorporating a Fairness Approach, Chemical Engineering Research and Design, 182, 25 – 36.
• Solís - Sánchez, J.L., Alcocer - García, H., Sánchez - Ramírez, E., Segovia - Hernández, J.G., 2022, Innovative Reactive Distillation Process for Levulinic Acid Production and Purification, Chemical Engineering Research and Design,183, 28 – 40.
• Carrera - Rodríguez, M., Villegas - Alcaraz, J.F., Salazar - Hernández, C., Mendoza –Miranda, J.M., Jiménez – Islas, H., Segovia - Hernández, J.G., Ortiz – Alvarado, J.D., Juárez – Ríos, H., 2022, Monitoring of Oil Lubrication Limits, Fuel consumption and Excess CO2 Production on Civilian Vehicles in Mexico, Energy, 257, 124765.
• Villazón – León, V., Bonilla – Petriciolet, A., Tapia – Picazo, J.C., Segovia – Hernández, J.G., Corazza, M.L., 2022, An Overview on Group Contribution Models to Calculate Thermodynamic Properties of Ionic Liquids for Process Systems Engineering, Chemical Engineering Research and Design,185, 458 - 480.
• Juárez – García, M., Contreras – Zarazúa, G., Segovia – Hernández, J.G., Ponce – Ortega, J.M., 2022, Sustainable Carbon-Hydrogen-Oxygen Symbiosis Networks: Intensifying Separation Sections, Chemical Engineering and Processing: Process Intensification, 179, 109092.
• Vallejo – Blancas, D., Huerta – Rosas, B., Quiroz – Ramírez, J.J., Segovia – Hernández, J.G., Sánchez - Ramírez, E., 2022, Control Properties of Sustainable Alternatives to Produce 2,3-Butanediol, Chemical Engineering Research and Design, 186, 473 - 484.
• Kong, Z.Y., Contreras – Zarazúa, G., Lee, H.Y., Chau. J., Segovia – Hernández, J.G., Sunarso, J., 2022, Design of Novel Side-Stream Hybrid Reactive-Extractive Distillation for Sustainable Ternary Separation of THF/Ethanol/Water Using Mixed Entrainer, Process Safety and Environmental Protection, 166, 574 – 588.
• Sánchez - Ramírez, E., Huerta – Rosas, B., Quiroz – Ramírez, J.J., Suárez – Toriello, V.A., Contreras – Zarazúa, G., Segovia – Hernández, J.G., 2022, Optimization-Based Framework for Modeling and Kinetic Parameter Estimation, Chemical Engineering Research and Design,186, 647 - 660.
• Kong, Z.Y., Segovia – Hernández, J.G., Lee, H.Y., Sunarso, J., 2022, Are Process-Intensified Extractive Distillation Always Energetically More Efficient?, Chemical Engineering and Processing: Process Intensification, 181, 109131.
• Kong, Z.Y., Sánchez - Ramírez, E., Yang, A., Shen, W., Segovia – Hernández, J.G., Sunarso, J., 2022, Process Intensification from Conventional to Advanced Distillations: Past, Present, and Future, Chemical Engineering Research and Design, 188, 379 – 392.
• Ramírez - Corona, N., Aguirre – Calleja, A.C., Segovia – Hernández, J.G., Aristizabal Marulanda, V., 2022, Latin American Women in Chemical Engineering: Challenges and Opportunities on Process Intensification in Academia/Research, Chemical Engineering and Processing: Process Intensification, 181, 109161.
• Segovia – Hernández, J.G., Hernández, S., Cossío – Vargas. E., Sánchez – Ramírez, E., 2022, Tackling Sustainability Challenges in Latin America and Caribbean from the Chemical Engineering Perspective: A Literature Review in the Last 25 Years, Chemical Engineering Research and Design, 188, 483 – 527.
• Luévano - Rivas, O.A., Quiroz – Ramírez, J.J., Suárez – Toriello, V.A., Huerta –Rosas, B., Sánchez – Ramírez, E., Segovia – Hernández, J.G., 2022, Upscaling of Mass and Heat Transport Applied to Reactive Packing Catalytic Porous Media, Chemical Engineering Science, 265, 118206.
•Tinoco – Sáenz, R., Alcántara – Ávila, J.R., Mansouri, S.S., Sánchez – Ramírez, E., Ramírez – Márquez, C., Segovia – Hernández, J.G., 2022, Design and Optimization of an Inherently Safe and Sustainable Process for the Separation of Anisole, Journal of Loss Prevention in the Process Industries, 80, 104899.
• Arreola – Nájera, L.G., Ramírez – Márquez, C., Cabrera – Ruiz, J., Segovia – Hernández, J.G., 2022, Towards Sustainability Assessment Through a Flexibility Index as The Condition Number, Chemical Engineering and Processing: Process Intensification, 182, 109184.
• Romero - García, A.G., Ramírez – Corona, N., Sánchez – Ramírez, E., Alcocer – García , H., De Blasio, C., Segovia – Hernandez, J.G., 2022, Sustainability Assessment in the CO2 Capture Process: Multi-Objective Optimization, Chemical Engineering and Processing: Process Intensification, 182, 109207.
•Flores - Cordero, E., Sámchez - Ramírez, E., Contreras - Zarazua, G., Ramírez - Márquez, C., Segovia - Hernández, J.G., 2022, Purification of Butanol from the ABE Mixture: Effect of Intensification on the Dynamic Behavior, Ind. Eng. Chem. Res., 61, 17963 – 17975.
• Romero - García, A.G., Ramírez – Corona, N., Sánchez – Ramírez, E., Alcocer – García , H., De Blasio, C., Segovia – Hernandez, J.G., 2022, Design of Sustainable Processes for CO2 Capture, In the Proceedings of European Symposium on Computer Aided Process Engineering - 32 (ESCAPE), Edited by Ludovic Montastruc and Stephane Negny, Elsevier (ISBN: 978-0-443-18631-8), UK, 811 - 816.
• Vallejo - Blancas, D., Segovia – Hernandez, J.G., Sánchez – Ramírez, E., Contreras – Zarazúa, G., Quiroz – Ramírez, J.J., 2022, Considering Environmental and Social Impact in Optimization of a Supply Chain for Bio-Jet Fuel Production, In the Proceedings of European Symposium on Computer Aided Process Engineering - 32 (ESCAPE), Edited by Ludovic Montastruc and Stephane Negny, Elsevier (ISBN: 978-0-443-18631-8), UK, 655 - 660.
• Rivas - Interián, R.M., Sánchez – Ramírez, E., Segovia – Hernandez, J.G., Quiroz – Ramírez, J.J., 2022, Economic and Environmental Optimization and Feedstock Planning for the Renewable Jet Production Using an Intensified Process, In the Proceedings of European Symposium on Computer Aided Process Engineering - 32 (ESCAPE), Edited by Ludovic Montastruc and Stephane Negny, Elsevier (ISBN: 978-0-443-18631-8), UK, 643 - 648.
• Juárez - García, M., Contreras – Zarazúa, G., Segovia – Hernandez, J.G., Ponce – Ortega, J.M., 2022, Improving Sustainable CHOSYN´s Targets through Process Intensification, In the Proceedings of European Symposium on Computer Aided Process Engineering - 32 (ESCAPE), Edited by Ludovic Montastruc and Stephane Negny, Elsevier (ISBN: 978-0-443-18631-8), UK, 613 - 618.
• Sanchez - Ramirez, E., Huerta – Rosas, B., Quiroz – Ramírez, J.J., Suárez – Toriello, V.A., Segovia – Hernandez, J.G., 2022, Development of Deep Learning Architectures for Forecasting Distillation Columns Dynamic Behavior of Biobutanol Purification, In the Proceedings of European Symposium on Computer Aided Process Engineering - 32 (ESCAPE), Edited by Ludovic Montastruc and Stephane Negny, Elsevier (ISBN: 978-0-443-18631-8), UK, 247 - 252.
• Rodarte de la Fuente, A., Sanchez - Ramirez, E., Calderón – Alvarado, M.P., Segovia – Hernandez, J.G., Hernández – Vargas, E.A., 2022, Development of Deep Learning Architectures for Forecasting Distillation Columns Dynamic Behavior of Biobutanol Purification, In the Proceedings of European Symposium on Computer Aided Process Engineering - 32 (ESCAPE), Edited by Ludovic Montastruc and Stephane Negny, Elsevier (ISBN: 978-0-443-18631-8), UK, 49 - 54.
