| Neural network analysis of fin-tube refrigerating heat exchanger with limited experimental data A Pacheco-Vega, M Sen, KT Yang, RL McClain International Journal of Heat and Mass Transfer 44 (4), 763-770, 2001 | 279 | 2001 |
| Numerical simulations of heat transfer and fluid flow problems using an immersed-boundary finite-volume method on nonstaggered grids JR Pacheco, A Pacheco-Vega, T Rodić, RE Peck Numerical Heat Transfer, Part B: Fundamentals 48 (1), 1-24, 2005 | 137 | 2005 |
| Heat rate predictions in humid air-water heat exchangers using correlations and neural networks A Pacheco-Vega, G Dı´ az, M Sen, KT Yang, RL McClain J. Heat Transfer 123 (2), 348-354, 2001 | 135 | 2001 |
| Heat transfer correlations by symbolic regression W Cai, A Pacheco-Vega, M Sen, KT Yang International Journal of Heat and Mass Transfer 49 (23-24), 4352-4359, 2006 | 93 | 2006 |
| Simultaneous determination of in-and over-tube heat transfer correlations in heat exchangers by global regression A Pacheco-Vega, M Sen, KT Yang International Journal of Heat and Mass Transfer 46 (6), 1029-1040, 2003 | 63 | 2003 |
| A general scheme for the boundary conditions in convective and diffusive heat transfer with immersed boundary methods A Pacheco-Vega, JR Pacheco, T Rodić | 58 | 2007 |
| Genetic-algorithm-based predictions of fin-tube heat exchanger performance A Pacheco-Vega, M Sen, KT Yang, RL McClain International Heat Transfer Conference Digital Library, 1998 | 44 | 1998 |
| Simulation of compact heat exchangers using global regression and soft computing AJ Pacheco-Vega University of Notre Dame, 2002 | 37 | 2002 |
| Use of artificial neural networks for prediction of the convective heat transfer coefficient in evaporative mini-tubes R Romero-Méndez, P Lara-Vázquez, F Oviedo-Tolentino, ... Ingeniería, investigación y tecnología 17 (1), 23-34, 2016 | 28 | 2016 |
| Numerically-based parametric analysis of plain fin and tube compact heat exchangers J Cobian-Iniguez, A Wu, F Dugast, A Pacheco-Vega Applied Thermal Engineering 86, 1-13, 2015 | 28 | 2015 |
| Chaotic mixing enhancement in electro-osmotic flows by random period modulation JR Pacheco, KP Chen, A Pacheco-Vega, B Chen, MA Hayes Physics Letters A 372 (7), 1001-1008, 2008 | 22 | 2008 |
| Soft computing applications in thermal energy systems A Pacheco-Vega Soft Computing in Green and Renewable Energy Systems, 1-35, 2011 | 15 | 2011 |
| Use of artificial neural networks for prediction of convective heat transfer in evaporative units RM Ricardo, HLJ Manuel, DGH Martín, PV Arturo Ingeniería, investigación y tecnología 15 (1), 93-101, 2014 | 14 | 2014 |
| Fuzzy-C-means-based classification of thermodynamic-property data: a critical assessment G Avila, A Pacheco-Vega Numerical Heat Transfer, Part A: Applications 56 (11), 880-896, 2009 | 14 | 2009 |
| Correlations of fin-tube heat exchanger performance data using genetic algorithms, simulated annealing and interval methods A Pacheco-Vega, M Sen, KT Yang, RL McClain ASME International Mechanical Engineering Congress and Exposition 35623, 143-151, 2001 | 14 | 2001 |
| On-line fuzzy-logic-based temperature control of a concentric-tube heat exchanger facility A Pacheco-Vega, C Ruiz-Mercado, K Peters, LE Vilchiz Heat Transfer Engineering 30 (14), 1208-1215, 2009 | 13 | 2009 |
| Application of Karhunen-Loeve expansions for the dynamic analysis of a natural convection loop for known heat flux T Hummel, A Pacheco-Vega Journal of Physics: Conference Series 395 (1), 012121, 2012 | 11 | 2012 |
| Analysis of thin film flows using a flux vector splitting JR Pacheco, A Pacheco-Vega J. Fluids Eng. 125 (2), 365-374, 2003 | 11 | 2003 |
| Nonlinear analysis of tilted toroidal thermosyphon models A Pacheco-Vega, W Franco, HC Chang, M Sen International journal of heat and mass transfer 45 (7), 1379-1391, 2002 | 11 | 2002 |
| Analysis of fin-tube evaporator performance with limited experimental data using artificial neural networks A Pacheco-Vega, M Sen, RL McClain ASME International Mechanical Engineering Congress and Exposition 26614, 95-101, 2000 | 11 | 2000 |
