| Data-driven prediction of battery cycle life before capacity degradation KA Severson, PM Attia, N Jin, N Perkins, B Jiang, Z Yang, MH Chen, ... Nature Energy 4 (5), 383-391, 2019 | 2113 | 2019 |
| Canonical variate analysis-based contributions for fault identification B Jiang, D Huang, X Zhu, F Yang, RD Braatz Journal of Process Control 26, 17-25, 2015 | 129 | 2015 |
| A combined canonical variate analysis and Fisher discriminant analysis (CVA–FDA) approach for fault diagnosis B Jiang, X Zhu, D Huang, JA Paulson, RD Braatz Computers & Chemical Engineering 77, 1-9, 2015 | 116 | 2015 |
| Diagnosis of multiple and unknown faults using the causal map and multivariate statistics LH Chiang, B Jiang, X Zhu, D Huang, RD Braatz Journal of Process Control 28, 27-39, 2015 | 105 | 2015 |
| Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning G Ma, S Xu, B Jiang, C Cheng, X Yang, Y Shen, T Yang, Y Huang, H Ding, ... Energy & Environmental Science 15 (10), 4083-4094, 2022 | 104 | 2022 |
| Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols B Jiang, WE Gent, F Mohr, S Das, MD Berliner, M Forsuelo, H Zhao, ... Joule 5 (12), 3187-3203, 2021 | 84 | 2021 |
| Fast charging design for Lithium-ion batteries via Bayesian optimization B Jiang, MD Berliner, K Lai, PA Asinger, H Zhao, PK Herring, MZ Bazant, ... Applied Energy 307, 118244, 2022 | 69 | 2022 |
| Fault detection of process correlation structure using canonical variate analysis-based correlation features B Jiang, RD Braatz Journal of Process Control 58, 131-138, 2017 | 54 | 2017 |
| Realistic fault detection of li-ion battery via dynamical deep learning J Zhang, Y Wang, B Jiang, H He, S Huang, C Wang, Y Zhang, X Han, ... Nature Communications 14 (1), 5940, 2023 | 47 | 2023 |
| Canonical variate analysis-based monitoring of process correlation structure using causal feature representation B Jiang, X Zhu, D Huang, RD Braatz Journal of Process Control 32, 109-116, 2015 | 47 | 2015 |
| Sparse canonical variate analysis approach for process monitoring Q Lu, B Jiang, RB Gopaluni, PD Loewen, RD Braatz Journal of Process Control 71, 90-102, 2018 | 42 | 2018 |
| Nonlinear identifiability analysis of the porous electrode theory model of lithium-ion batteries MD Berliner, H Zhao, S Das, M Forsuelo, B Jiang, WH Chueh, MZ Bazant, ... Journal of The Electrochemical Society 168 (9), 090546, 2021 | 39 | 2021 |
| Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel H Zhao, HD Deng, AE Cohen, J Lim, Y Li, D Fraggedakis, B Jiang, ... Nature 621 (7978), 289-294, 2023 | 37 | 2023 |
| Locality preserving discriminative canonical variate analysis for fault diagnosis Q Lu, B Jiang, RB Gopaluni, PD Loewen, RD Braatz Computers & Chemical Engineering 117, 309-319, 2018 | 33 | 2018 |
| Dynamic minimax probability machine-based approach for fault diagnosis using pairwise discriminate analysis B Jiang, Z Guo, Q Zhu, G Huang IEEE Transactions on Control Systems Technology 27 (2), 806-813, 2017 | 27 | 2017 |
| State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression K Fan, Y Wan, B Jiang Journal of Process Control 112, 1-11, 2022 | 21 | 2022 |
| Maximized mutual information analysis based on stochastic representation for process monitoring B Jiang, Y Luo, Q Lu IEEE Transactions on Industrial Informatics 15 (3), 1579-1587, 2018 | 19 | 2018 |
| A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles R Liu, G He, X Wang, D Mallapragada, H Zhao, Y Shao-Horn, B Jiang Nature communications 15 (1), 280, 2024 | 18 | 2024 |
| Fault diagnosis in industrial processes by maximizing pairwise Kullback–Leibler divergence Q Lu, B Jiang, E Harinath IEEE Transactions on Control Systems Technology 29 (2), 780-785, 2019 | 18 | 2019 |
| Novel operating modes for the charging of lithium-ion batteries MD Berliner, B Jiang, DA Cogswell, MZ Bazant, RD Braatz Journal of The Electrochemical Society 169 (10), 100546, 2022 | 14 | 2022 |
Richard D. BraatzEdwin R. Gilliland Professor, Massachusetts Institute of TechnologyVerified email at mit.edu
