| A review of process fault detection and diagnosis: Part I: Quantitative model-based methods V Venkatasubramanian, R Rengaswamy, K Yin, SN Kavuri Computers & chemical engineering 27 (3), 293-311, 2003 | 3854 | 2003 |
| A review of process fault detection and diagnosis: Part III: Process history based methods V Venkatasubramanian, R Rengaswamy, SN Kavuri, K Yin Computers & chemical engineering 27 (3), 327-346, 2003 | 2523 | 2003 |
| A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies V Venkatasubramanian, R Rengaswamy, SN Kavuri Computers & chemical engineering 27 (3), 313-326, 2003 | 1751 | 2003 |
| A neural network methodology for process fault diagnosis V Venkatasubramanian, K Chan AIChE Journal 35 (12), 1993-2002, 1989 | 616 | 1989 |
| The promise of artificial intelligence in chemical engineering: Is it here, finally? V Venkatasubramanian AIChE Journal 65 (1), 2019 | 558 | 2019 |
| Process fault detection and diagnosis using neural networks—I. Steady-state processes V Venkatasubramanian, R Vaidyanathan, Y Yamamoto Computers & Chemical Engineering 14 (7), 699-712, 1990 | 352 | 1990 |
| Computer-aided molecular design using genetic algorithms V Venkatasubramanian, K Chan, JM Caruthers Computers & Chemical Engineering 18 (9), 833-844, 1994 | 337* | 1994 |
| Sulfur vulcanization of natural rubber for benzothiazole accelerated formulations: from reaction mechanisms to a rational kinetic model P Ghosh, S Katare, P Patkar, JM Caruthers, V Venkatasubramanian, ... Rubber Chemistry and technology 76 (3), 592-693, 2003 | 323 | 2003 |
| Challenges in the industrial applications of fault diagnostic systems S Dash, V Venkatasubramanian Computers & chemical engineering 24 (2-7), 785-791, 2000 | 269 | 2000 |
| Intelligent systems for HAZOP analysis of complex process plants V Venkatasubramanian, J Zhao, S Viswanathan Computers & Chemical Engineering 24 (9-10), 2291-2302, 2000 | 257 | 2000 |
| A syntactic pattern-recognition approach for process monitoring and fault diagnosis R Rengaswamy, V Venkatasubramanian Engineering Applications of Artificial Intelligence 8 (1), 35-51, 1995 | 229 | 1995 |
| Automatic generation of qualitative descriptions of process trends for fault detection and diagnosis ME Janusz, V Venkatasubramanian Engineering Applications of Artificial Intelligence 4 (5), 329-339, 1991 | 213 | 1991 |
| PCA-SDG based process monitoring and fault diagnosis H Vedam, V Venkatasubramanian Control engineering practice 7 (7), 903-917, 1999 | 211 | 1999 |
| Model-based reasoning in diagnostic expert systems for chemical process plants SH Rich, V Venkatasubramanian Computers & Chemical Engineering 11 (2), 111-122, 1987 | 210 | 1987 |
| Computer aided molecular design: theory and practice L Achenie, V Venkatasubramanian, R Gani Elsevier, 2002 | 209 | 2002 |
| Fuzzy-logic based trend classification for fault diagnosis of chemical processes S Dash, R Rengaswamy, V Venkatasubramanian Computers & Chemical Engineering 27 (3), 347-362, 2003 | 195 | 2003 |
| Fault diagnosis using dynamic trend analysis: A review and recent developments MR Maurya, R Rengaswamy, V Venkatasubramanian Engineering Applications of artificial intelligence 20 (2), 133-146, 2007 | 194 | 2007 |
| Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets MR Maurya, R Rengaswamy, V Venkatasubramanian Engineering Applications of Artificial Intelligence 17 (5), 501-518, 2004 | 188 | 2004 |
| A genetic algorithmic framework for process design and optimization IP Androulakis, V Venkatasubramanian Computers & chemical engineering 15 (4), 217-228, 1991 | 188 | 1991 |
| Process systems engineering–the generation next? EN Pistikopoulos, A Barbosa-Povoa, JH Lee, R Misener, A Mitsos, ... Computers & Chemical Engineering 147, 107252, 2021 | 184 | 2021 |
Raghunathan RengaswamyProfessor of Chemical Engineering, IIT Madras在 iitm.ac.in 的电子邮件经过验证
