| Identifying the technology convergence using patent text information: A graph convolutional networks (GCN)-based approach C Zhu, K Motohashi Technological Forecasting and Social Change 176, 121477, 2022 | 18 | 2022 |
| Two-stage iteratively reweighted smoothing splines for baseline correction J Wei, C Zhu, ZM Zhang, P He Chemometrics and Intelligent Laboratory Systems 227, 104606, 2022 | 5 | 2022 |
| Technological competitiveness of China's internet platformers: comparison of Google and Baidu by using patent text information K Motohashi, C Zhu Asia Pacific Journal of Innovation and Entrepreneurship, 2024 | 2 | 2024 |
| Identifying technology opportunity using dual-attention model and technology-market concordance matrix K Motohashi, C Zhu Technological Forecasting and Social Change 197, 122916, 2023 | 1 | 2023 |
| Government R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program C Zhu, K Motohashi Scientometrics 128 (5), 3035-3065, 2023 | | 2023 |
| Government R&D spending as a driving force of technology convergence C Zhu, K Motohashi Academy of Management Proceedings 2022 (1), 11356, 2022 | | 2022 |
Kazuyuki MotohashiProfessor, The University of TokyoVerified email at tmi.t.u-tokyo.ac.jp
