| Fully hardware-implemented memristor convolutional neural network P Yao, H Wu, B Gao, J Tang, Q Zhang, W Zhang, JJ Yang, H Qian Nature 577 (7792), 641-646, 2020 | 1857 | 2020 |
| Fully memristive neural networks for pattern classification with unsupervised learning Z Wang, S Joshi, S Savel’Ev, W Song, R Midya, Y Li, M Rao, P Yan, ... Nature Electronics 1 (2), 137-145, 2018 | 1022 | 2018 |
| Towards artificial general intelligence with hybrid Tianjic chip architecture J Pei, L Deng, S Song, M Zhao, Y Zhang, S Wu, G Wang, Z Zou, Z Wu, ... Nature 572 (7767), 106-111, 2019 | 967 | 2019 |
| Resistive switching materials for information processing Z Wang, H Wu, GW Burr, CS Hwang, KL Wang, Q Xia, JJ Yang Nature Reviews Materials 5 (3), 173-195, 2020 | 940 | 2020 |
| Face classification using electronic synapses P Yao, H Wu, B Gao, SB Eryilmaz, X Huang, W Zhang, Q Zhang, N Deng, ... Nature communications 8 (1), 15199, 2017 | 914 | 2017 |
| Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges J Tang, F Yuan, X Shen, Z Wang, M Rao, Y He, Y Sun, X Li, W Zhang, Y Li, ... Advanced Materials 31 (49), 1902761, 2019 | 627 | 2019 |
| Neuro-inspired computing chips W Zhang, B Gao, J Tang, P Yao, S Yu, MF Chang, HJ Yoo, H Qian, H Wu Nature electronics 3 (7), 371-382, 2020 | 626 | 2020 |
| Recommended methods to study resistive switching devices M Lanza, HSP Wong, E Pop, D Ielmini, D Strukov, BC Regan, L Larcher, ... Advanced Electronic Materials 5 (1), 1800143, 2019 | 626 | 2019 |
| Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit T Zhou, X Lin, J Wu, Y Chen, H Xie, Y Li, J Fan, H Wu, L Fang, Q Dai Nature Photonics 15 (5), 367-373, 2021 | 521 | 2021 |
| A compute-in-memory chip based on resistive random-access memory W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ... Nature 608 (7923), 504-512, 2022 | 478 | 2022 |
| Understanding memristive switching via in situ characterization and device modeling W Sun, B Gao, M Chi, Q Xia, JJ Yang, H Qian, H Wu Nature communications 10 (1), 3453, 2019 | 428 | 2019 |
| An artificial nociceptor based on a diffusive memristor JH Yoon, Z Wang, KM Kim, H Wu, V Ravichandran, Q Xia, CS Hwang, ... Nature communications 9 (1), 417, 2018 | 398 | 2018 |
| Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing Y Zhong, J Tang, X Li, B Gao, H Qian, H Wu Nature communications 12 (1), 408, 2021 | 377 | 2021 |
| Threshold switching of Ag or Cu in dielectrics: materials, mechanism, and applications Z Wang, M Rao, R Midya, S Joshi, H Jiang, P Lin, W Song, S Asapu, ... Advanced Functional Materials 28 (6), 1704862, 2018 | 331 | 2018 |
| Reliability of analog resistive switching memory for neuromorphic computing M Zhao, B Gao, J Tang, H Qian, H Wu Applied Physics Reviews 7 (1), 2020 | 286 | 2020 |
| Capacitive neural network with neuro-transistors Z Wang, M Rao, JW Han, J Zhang, P Lin, Y Li, C Li, W Song, S Asapu, ... Nature communications 9 (1), 3208, 2018 | 268 | 2018 |
| Graphene oxide quantum dots based memristors with progressive conduction tuning for artificial synaptic learning X Yan, L Zhang, H Chen, X Li, J Wang, Q Liu, C Lu, J Chen, H Wu, P Zhou Advanced Functional Materials 28 (40), 1803728, 2018 | 266 | 2018 |
| Improving Analog Switching in HfOx-Based Resistive Memory With a Thermal Enhanced Layer W Wu, H Wu, B Gao, N Deng, S Yu, H Qian IEEE Electron Device Letters 38 (8), 1019-1022, 2017 | 259 | 2017 |
| Binary neural network with 16 Mb RRAM macro chip for classification and online training S Yu, Z Li, PY Chen, H Wu, B Gao, D Wang, W Wu, H Qian 2016 IEEE International Electron Devices Meeting (IEDM), 16.2. 1-16.2. 4, 2016 | 255 | 2016 |
| In situ training of feed-forward and recurrent convolutional memristor networks Z Wang, C Li, P Lin, M Rao, Y Nie, W Song, Q Qiu, Y Li, P Yan, ... Nature Machine Intelligence 1 (9), 434-442, 2019 | 252 | 2019 |
Bin GaoTsinghua UniversityEmail verificata su pku.edu.cn
