| ChatGPT for education and research: Opportunities, threats, and strategies MM Rahman, Y Watanobe Applied Sciences 13 (9), 5783, 2023 | 880 | 2023 |
| Brain-computer interface: Advancement and challenges MF Mridha, SC Das, MM Kabir, AA Lima, MR Islam, Y Watanobe Sensors 21 (17), 5746, 2021 | 195 | 2021 |
| Learning path recommendation system for programming education based on neural networks T Saito, Y Watanobe International Journal of Distance Education Technologies (IJDET) 18 (1), 36-64, 2020 | 130 | 2020 |
| A bidirectional LSTM language model for code evaluation and repair MM Rahman, Y Watanobe, K Nakamura Symmetry 13 (2), 247, 2021 | 101 | 2021 |
| Source code assessment and classification based on estimated error probability using attentive LSTM language model and its application in programming education MM Rahman, Y Watanobe, K Nakamura Applied Sciences 10 (8), 2973, 2020 | 75 | 2020 |
| A study of robotic cooperation in cloud robotics: Architecture and challenges W Chen, Y Yaguchi, K Naruse, Y Watanobe, K Nakamura, J Ogawa IEEE Access 6, 36662-36682, 2018 | 75 | 2018 |
| A comprehensive survey on the detection, classification, and challenges of neurological disorders AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam, Y Watanobe Biology 11 (3), 469, 2022 | 71 | 2022 |
| QoS-aware robotic streaming workflow allocation in cloud robotics systems W Chen, Y Yaguchi, K Naruse, Y Watanobe, K Nakamura IEEE transactions on services computing 14 (2), 544-558, 2018 | 64 | 2018 |
| Educational data mining to support programming learning using problem-solving data MM Rahman, Y Watanobe, T Matsumoto, RU Kiran, K Nakamura IEEE Access 10, 26186-26202, 2022 | 53 | 2022 |
| A comprehensive survey on the process, methods, evaluation, and challenges of feature selection MR Islam, AA Lima, SC Das, MF Mridha, AR Prodeep, Y Watanobe IEEE Access 10, 99595-99632, 2022 | 43 | 2022 |
| Impact of practical skills on academic performance: A data-driven analysis MM Rahman, Y Watanobe, RU Kiran, TC Thang, I Paik IEEE Access 9, 139975-139993, 2021 | 43 | 2021 |
| A neural network based intelligent support model for program code completion MM Rahman, Y Watanobe, K Nakamura Scientific Programming 2020 (1), 7426461, 2020 | 42 | 2020 |
| Online judge system: Requirements, architecture, and experiences Y Watanobe, MM Rahman, T Matsumoto, UK Rage, P Ravikumar International Journal of Software Engineering and Knowledge Engineering 32 …, 2022 | 36 | 2022 |
| Development and Operation of an Online Judge System Y Watanobe IPSJ Magazine 56 (10), 998-1005, 2015 | 35* | 2015 |
| Classification of programming problems based on topic modeling CM Intisar, Y Watanobe, M Poudel, S Bhalla Proceedings of the 2019 7th International Conference on Information and …, 2019 | 34 | 2019 |
| Learning path recommender system based on recurrent neural network T Saito, Y Watanobe 2018 9th international conference on awareness science and technology (iCAST …, 2018 | 34 | 2018 |
| Aizu Online Judge Y Watanobe https://onlinejudge.u-aizu.ac.jp/, 2018 | 33 | 2018 |
| Code completion for programming education based on recurrent neural network K Terada, Y Watanobe 2019 IEEE 11th international workshop on computational intelligence and …, 2019 | 31 | 2019 |
| Bug detection based on lstm networks and solution codes Y Teshima, Y Watanobe 2018 IEEE international conference on systems, man, and cybernetics (SMC …, 2018 | 29 | 2018 |
| Filmification of methods: A visual language for graph algorithms Y Watanobe, NN Mirenkov, R Yoshioka, O Monakhov Journal of Visual Languages & Computing 19 (1), 123-150, 2008 | 29 | 2008 |