| 100% clean and renewable wind, water, and sunlight all-sector energy roadmaps for 139 countries of the world MZ Jacobson, MA Delucchi, ZAF Bauer, SC Goodman, WE Chapman, ... Joule 1 (1), 108-121, 2017 | 1176 | 2017 |
| Machine vision for natural gas methane emissions detection using an infrared camera J Wang, LP Tchapmi, AP Ravikumar, M McGuire, CS Bell, D Zimmerle, ... Applied Energy 257, 113998, 2020 | 139 | 2020 |
| Are optical gas imaging technologies effective for methane leak detection? AP Ravikumar, J Wang, AR Brandt Environmental science & technology 51 (1), 718-724, 2017 | 131 | 2017 |
| Single-blind inter-comparison of methane detection technologies–results from the Stanford/EDF Mobile Monitoring Challenge AP Ravikumar, S Sreedhara, J Wang, J Englander, D Roda-Stuart, C Bell, ... Elem Sci Anth 7, 37, 2019 | 107 | 2019 |
| “Good versus good enough?” Empirical tests of methane leak detection sensitivity of a commercial infrared camera AP Ravikumar, J Wang, M McGuire, CS Bell, D Zimmerle, AR Brandt Environmental science & technology 52 (4), 2368-2374, 2018 | 103 | 2018 |
| Potential solar energy use in the global petroleum sector J Wang, J O'Donnell, AR Brandt Energy 118, 884-892, 2017 | 69 | 2017 |
| VideoGasNet: Deep learning for natural gas methane leak classification using an infrared camera J Wang, J Ji, AP Ravikumar, S Savarese, AR Brandt Energy 238, 121516, 2022 | 61 | 2022 |
| Assessment of winter air pollution episodes using long-range transport modeling in Hangzhou, China, during World Internet Conference, 2015 Z Ni, K Luo, J Zhang, R Feng, H Zheng, H Zhu, J Wang, J Fan, X Gao, ... Environmental pollution 236, 550-561, 2018 | 49 | 2018 |
| Deep learning based food recognition Q Yu, D Mao, J Wang Technical report, Stanford University, 2016 | 16 | 2016 |
| Incentive mechanism for cooperative energy sharing J Wang, H Zhong, Y Yu, J Wang, E Du, Q Xia 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 14 | 2018 |
| Modulating Schottky Barrier of MoS2 to Enhance Hydrogen Evolution Reaction Activity by Incorporating with Vertical Graphene Nanosheets Derived from Organic … A Wu, A Xu, J Yang, X Li, L Wang, J Wang, D Macdonald, J Yan ChemElectroChem 5 (24), 3841-3846, 2018 | 9 | 2018 |
| A machine learning approach to methane emissions mitigation in the oil and gas industry J Wang, S Nadarajah, J Wang, AP Ravikumar EarthArXiv, 2020 | 8 | 2020 |
| Statistical proxy modeling for life cycle assessment and energetic analysis MS Masnadi, PR Perrier, J Wang, J Rutherford, AR Brandt Energy 194, 116882, 2020 | 5 | 2020 |
| Downhole measurement of enthalpy in geothermal wells–an analytical, experimental and numerical study X Gao, J Wang, RN Horne Geothermics 88, 101902, 2020 | 3 | 2020 |
| Techno-economic analysis of deep-learning-enabled automated natural gas leakage detection technologies J Wang, AP Ravikumar, AR Brandt AGU Fall Meeting Abstracts 2019, GC51M-0960, 2019 | 2 | 2019 |
| Classification of the Natural Gas Leak J Wang PhD student in Energy Resources Engineering. jingfan@ stanford. edu, 2015 | 2 | 2015 |
| Automating the Detection and Classification of Methane Pollution: Integrating Deep Learning and Techno-economic Analysis J Wang Stanford University, 2019 | 1 | 2019 |
| Deep learning to classify methane leak size at oil and gas facilities J Wang, AP Ravikumar, S Sreedhara, LP Tchapmi, M McGuire, C Bell, ... AGU Fall Meeting Abstracts 2018, A43R-3438, 2018 | 1 | 2018 |
| Two-stream Convolutional Neural Network for Natural Gas Leak Quantification J Wang | 1 | 2017 |
| Dynamic Virtual Fixture Generation Based on Intra-Operative 3D Image Feedback in Robot-Assisted Minimally Invasive Thoracic Surgery Y Shi, P Zhu, T Wang, H Mai, X Yeh, L Yang, J Wang Sensors 24 (2), 492, 2024 | | 2024 |
Arvind P. RavikumarUniversity of Texas at AustinVerified email at austin.utexas.edu
