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Wu Yao, Zhu Donghua, Wang Xuefeng*. An ensemble learning framework for potential miRNA-disease association prediction with positive-unlabeled data. Computational Biology and Chemistry, 2021. (In press).
Xuefeng Wang*, Shuo Zhang, Yao Wu, Xuemei Yang. Revealing Potential Drug-Disease-Gene Association Patterns for Precision Medicine. Scientometrics, 2021. (In press).
Xuefeng Wang*, Shuo Zhang, Yuqin Liu, Jian Du, Heng Huang. How pharmaceutical innovation evolves: the path from science to technological development to marketable drugs. Technological Forecasting & Social Change, 2021. (In press).
Rongrong Li, Xuefeng Wang*, Yuqin Liu, Shuo Zhang. Improved technology similarity measurement based on subject-action-object semantic structure for the medical field: case study of Alzheimer’s disease. IEEE-Transactions on Engineering Management, 2021. (In press).
Ying Wang, Xuefeng Wang*, Dong Wan, Yali Qiao. Identifying the roles of research entities in technological knowledge flow among patents assignees by using patent citation[J]. IEEE-Transactions on Engineering Management, 2019. (In press).
Xiaotong Han, Donghua Zhu, Xuefeng Wang*, Jia Li, Yali Qiao. Technology opportunity analysis: combining SAO networks and link prediction[J]. IEEE-Transactions on Engineering Management, 2021,68(5):1288 – 1298.
Xuefeng Wang*, Yali Qiao, Yujia Hou, Xiaotong Han. Measuring Technology Complementarity Between Enterprises with an hLDA Topic Model[J]. IEEE-Transactions on Engineering Management, 2021, 68(5):1309 - 1320.
Rongrong Li, Xuefeng Wang*, Yuqin Liu, Shuo Zhang, Omer Hanif. Research status and collaboration analysis based on big data mining: an empirical study of Alzheimer's disease. Technology Analysis & Strategic Management, 2020, 33(4):379–395.
Xuefeng Wang*, Xuemei Yang, Xinglu Wang, Mengge Xia, Jiayun Wang. Evaluating the Competitiveness of Enterprise’s Technology Based on LDA Topic Model[J]. Technology analysis & strategic management, 2020,32(2):208-222.
Xuefeng Wang*, Huichao Ren, Yun Chen, Yuqin Liu, Yali Qiao, Ying Huang. Measuring Patent Similarity with SAO Semantic Analysis[J]. Scientometrics, 2019, 121(1):1-23.
Lin Zhu, Donghua Zhu, Xuefeng Wang*, Scott W. Cunningham, Zhinan Wang. An Integrated Solution for Detecting Rising Technology Stars in Co-inventor Networks[J]. Scientometrics, 2019, 121(1), 137-172.
Xuefeng Wang, Yun Fu*, Ying Huang, Yuqin Liu, Donghua Zhu. Identifying R&D Partners using SAO Analysis: A Case Study of Dye-sensitized Solar Cells (DSSCs)[J]. International Journal of Technology Management. 2019, 81(1/2):70-93.
Zhinan Wang, Alan Porter, Xuefeng Wang*, Stephen Carley. An approach to identify emergent topics of technological convergence: A case study for 3D printing[J]. Technological forecasting and social change. 2019, 146:723-732.
Xuefeng Wang*, Rongrong Li, Ying Huang & Pingping Ma. Identifying R&D partners for dye-sensitized solar cells: a multi-level patent portfolio-based approach[J]. Technology analysis & strategic management, 2019, 31(3): 356-370.
Chao Yang, Donghua Zhu, Xuefeng Wang*, Yi Zhang, Guangquan Zhang, Jie Lu. Requirement-oriented core technological components’ identification based on SAO analysis[J]. Scientometrics, 2017, 112(3), 1229-1248.
Ying Huang, Donghua Zhu, Qi Lv, Alan L. Porter, Douglas K. R. Robinson, Xuefeng Wang*.Early insights of Emerging Sources Citation Index (ESCI): An overlay map-based bibliometric study[J]. Scientometrics, 2017, 111(3):2041-2057.
Xuefeng Wang*, Zhinan Wang, Ying Huang, Yun Chen, Yi Zhang, Huichao Ren, Rongrong Li, Jinhui Pang. Measuring interdisciplinarity of a research system: Detecting distinction between publication categories and citation categories[J]. Scientometrics, 2017, 111(3):2023-2039.
Xuefeng Wang*, Pingping Ma, Ying Huang, Junfang Guo, Donghua Zhu, Alan L. Porter, Zhinan Wang. Combining SAO semantic analysis and morphology analysis to identify technology opportunities[J]. Scientometrics, 2017, 111(1):3-24.
Xuefeng Wang*, Zhinan Wang, Ying Huang, Yuqin Liu, Jiao Zhang, Xiaofan Heng, Donghua Zhu. Identifying R&D Partners through Subject-Action-Object semantic analysis in a problem & solution pattern[J]. Technology analysis & strategic management. 2017, 29(10):1167-1180.
Chao Yang, Donghua Zhu, Xuefeng Wang*. SAO Semantic Information Identification for Text Mining[J]. International Journal of Computational Intelligence Systems, 2017, 10(1): 593–604.
Ying Huang, Yi Zhang, Jan Youtie, Alan L. Porter, Xuefeng Wang*. How does national scientific funding support emerging interdisciplinary research: A comparison study on Big Data research in the US and China[J]. PLoS ONE, 2016, e0154509.
Junfang Guo, Xuefeng Wang*, Qianrui Li, Donghua Zhu. Subject-action-object-based morphology analysis for determining the direction of technological change[J]. Technological forecasting and social change. 2016, 105:27-40.
Xuefeng Wang*, Hairuo Li, Rongrong Li, Bing Li, Donghua Zhu. Research on the Cost Forecast of China’s Photovoltaic Industry[J]. R & D Management.2016, 46(1):3-12.
Xuefeng Wang*, Pengjun Qiu, Donghua Zhu, Liliana Mitkova, Ming Lei, Alan L. Porter. Identification of technology development trends based on SAO analysis: the case of DSSCs[J]. Technological forecasting and social change. 2015, 98:24-46.
Zhu Fujin, Wang Xuefeng*, Zhu Donghua, Liu Yuqin. A Supervised Requirement-oriented Patent Classification Scheme Based on the Combination of Metadata and Citation Information[J]. International Journal of Computational Intelligence Systems. 2015, 8(3): 502-516.
Jing Ma, Xuefeng Wang*, Donghua Zhu, Xiao Zhou. Analysis on patent collaborative patterns for emerging technologies: a case study of Nano-Enabled Drug Delivery[J]. International Journal of Technology Management. 2015, 69(3/4):210-228.
Xuefeng Wang*, Meng Huang, Hongyuan Wang, Ming Lei, Donghua Zhu, Jie Ren, Munazza Jabeen. International Collaboration Activity Index: Case study of dye-sensitized solar cells[J]. Journal of Informetrics. 2014, 8(4):854-862.
Xuefeng Wang, Jie Ren*, Yi Zhang, Donghua Zhu, Pengjun Qiu, Meng Huang. China’s Patterns of International Technological Collaboration 1976–2010: A Patent Analysis Study[J]. Technology analysis & strategic management. 2014, 26(5): 531–546.
Xuefeng Wang*, Rongrong Li, Shiming Ren, Donghua Zhu, Meng Huang, Pengjun Qiu. Collaboration network and pattern analysis: case study of dye-sensitized solar cells[J]. Scientometrics. 2014, 98(3): 1745-1762.
Yi Zhang, Ying Guo, Xuefeng Wang*, Donghua Zhu, Alan L. Porter. A hybrid visualisation model for technology roadmapping: bibliometrics, qualitative methodology and empirical study[J]. Technology analysis & strategic management. 2013, 25(6): 707-724.
郑思佳，汪雪锋*，刘玉琴，陈虹枢. 关键核心技术竞争态势评估研究. 科研管理，2021,42(9).
雷鸣, 夏梦鸽, 汪雪锋, 刘佳. 基于链路预测的协同药物组合推荐研究:面向疾病并发症诊疗[J]. 图书情报工作, 2021, 65(12): 122-129.
张宛姝，汪雪锋*，于璇. 基于ESI论文数据的高校学科评价研究[J]. 科研管理, 2020,41(2): 60-72.
付芸, 汪雪锋, 李佳, 侯雨佳. 基于SAO结构的创新解决方案遴选研究—以空气净化技术为例[J].图书情报工作. 2019, 63 (6): 75-84.
汪雪锋, 张硕, 刘玉琴, 乔亚丽, 韩晓彤, 黄恒. 中国科技评价研究40年：历史演进及主题演化[J].科学学与科学技术管理, 2018, 39(12): 67-80.
刘晓豫, 朱东华, 汪雪锋, 黄颖.多专长专家识别方法研究——以大数据领域为例[J].图书情报工作, 2018,62(3):55-63.
韩晓彤, 刘燕新, 任智军, 汪雪锋, 朱安然.基于专利挖掘的技术竞争对手研发方向识别[J].科学学与科学技术管理, 2018,39(2):23-32.
汪雪锋, 张娇, 李佳, 乔亚丽.跨学科团队与跨学科研究成果产出——来自科学基金重大研究计划的实证[J].科研管理,2018,39(4):157-165.
杨超, 朱东华, 汪雪锋, 朱福进, 衡晓帆.专利技术主题分析:基于SAO结构的LDA主题模型方法[J].图书情报工作,2017,61(3):86-96.
汪雪锋, 陈云, 王志楠, 黄颖, 马晶, 任惠超, 逄金辉.基于学科交叉与目标一致性的重大研究计划资助绩效评价[J].科研管理,2017,38(040):132-144.
刘玉琴, 逄金辉, 崔志成, 汪雪锋, 桂婕.一种简易的技术主题图绘制方法[J].图书情报工作, 2017,61(130):125-132.
郭俊芳, 汪雪锋, 李乾瑞, 朱东华.一种新型的技术形态识别方法——基于SAO语义挖掘方法[J].科学学研究,2016,34(1):13-21.
杨超, 朱东华, 衡晓帆, 汪雪锋.基于语法树的SAO结构识别方法研究[J].图书情报工作,2016,60(21):113-121.
王志楠, 汪雪锋, 黄颖, 朱东华, 高天舒.高被引学者论文跨学科特征分析——以经济与商业领域为例[J].科学学研究,2016,34(6):807-813.
刘玉琴, 汪雪锋, 雷孝平.科研关系构建与可视化系统设计与实现[J].图书情报工作,2015,59(8):103-110,125.
汪雪锋, 邱鹏君, 付芸.一种新型技术路线图构建研究——基于SAO结构信息[J].科学学研究,2015,33(8):1134-1140.
汪雪锋, 付芸, 邱鹏君, 刘玉琴.基于SAO分析的R&D合作伙伴识别研究[J].科研管理,2015,36(10):19-27.
刘胜奇, 朱东华, 汪雪锋, 马婷婷.基于合作全球图的专利国际合作分析[J].科研管理,2015,36(3):79-83.
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