| A deep learning based method for extracting semantic information from patent documents L Chen, S Xu, L Zhu, J Zhang, X Lei, G Yang Scientometrics 125, 289-312, 2020 | 95 | 2020 |
| Emerging research topics detection with multiple machine learning models S Xu, L Hao, X An, G Yang, F Wang Journal of Informetrics 13 (4), 100983, 2019 | 72 | 2019 |
| Using the comprehensive patent citation network (CPC) to evaluate patent value GC Yang, G Li, CY Li, YH Zhao, J Zhang, T Liu, DZ Chen, MH Huang Scientometrics 105, 1319-1346, 2015 | 68 | 2015 |
| A topic models based framework for detecting and forecasting emerging technologies S Xu, L Hao, G Yang, K Lu, X An Technological Forecasting and Social Change 162, 120366, 2021 | 66 | 2021 |
| A semantic main path analysis method to identify multiple developmental trajectories L Chen, S Xu, L Zhu, J Zhang, H Xu, G Yang Journal of Informetrics 16 (2), 101281, 2022 | 22 | 2022 |
| An approach for detecting the commonality and specialty between scientific publications and patents S Xu, L Li, X An, L Hao, G Yang Scientometrics 126, 7445-7475, 2021 | 20 | 2021 |
| Identifying fintech innovations with patent data: A combination of textual analysis and machine-learning techniques L Xu, X Lu, G Yang, B Shi International Conference on Information, 835-843, 2020 | 16 | 2020 |
| 面向技术演化分析的多主路径方法研究 陈亮， 杨冠灿， 张静， 范云满 图书情报工作, 124-130, 2015 | 15 | 2015 |
| A mixture record linkage approach for US patent inventor disambiguation GC Yang, C Liang, Z Jing, DR Wang, HC Zhang Advanced Multimedia and Ubiquitous Engineering: MUE/FutureTech 2017 11, 331-338, 2017 | 11 | 2017 |
| 基于综合引用网络的专利价值评价研究 杨冠灿、刘彤、李纲、安璐 情报学报 32 (12), 1265-1277, 2014 | 11 | 2014 |
| A deep learning based method benefiting from characteristics of patents for semantic relation classification L Chen, S Xu, L Zhu, J Zhang, G Yang, H Xu Journal of Informetrics 16 (3), 101312, 2022 | 10 | 2022 |
| A novel developmental trajectory discovery approach by integrating main path analysis and intermediacy S Xu, C Wang, X An, L Hao, G Yang Journal of Information Science 50 (3), 651-672, 2024 | 8 | 2024 |
| Topics emerged in the biomedical field and their characteristics K Lu, G Yang, X Wang Technological Forecasting and Social Change 174, 121218, 2022 | 8 | 2022 |
| 基于动态网络分析的专利合作网络演化分析——以纳米技术为例 刘彤， 郭鲁钢， 杨冠灿 情报杂志 33 (11), 88-93, 2014 | 8 | 2014 |
| Which type of dynamic indicators should be preferred to predict patent commercial potential? G Yang, G Lu, S Xu, L Chen, Y Wen Technological Forecasting and Social Change 193, 122637, 2023 | 7 | 2023 |
| 层次主题模型在技术演化分析上的应用研究 陈亮， 张静， 张海超， 杨冠灿， 张健 图书情报工作 61 (5), 103-108, 2017 | 7 | 2017 |
| 审查员引文是否应作为专利引文 “噪音” 被剔除? 张虎胆， 杨冠灿， 吴恒 图书情报知识, 77-83, 2013 | 7 | 2013 |
| 计量与演化视角下的新兴技术识别研究进展评述 卢小宾， 杨冠灿， 徐硕， 张杨燚 情报学报 39 (6), 651-661, 2020 | 6 | 2020 |
| 专利权人合作网络的社群结构分析——以燃料电池电动汽车专利为例 李纲， 任佳佳， 毛进， 杨冠灿 情报学报 33 (3), 267-276, 2014 | 6 | 2014 |
| Exploring the Transdisciplinary Nature of Digital Humanities M Yang, M Wang, H Wang, G Yang, H Liu Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 …, 2020 | 5 | 2020 |
Shuo XuBeijing University of Technology確認したメール アドレス: bjut.edu.cn
