科研成果
近年来，以第一/通讯作者身份在《Journal of the Association for Information Science and Technology》、《Journal of Informetrics》、《Scientometrics》、《Technology Forecasting and Social Change》和《Journal of Information Science》等重要期刊/会议上发表学术论文100余篇，撰写学术专著1部，以第一发明人身份申请发明专利11项，被授权韩国和中国发明专利各1项。
论文
[1] Shuo Xu, Liyuan Hao, Guancan Yang, Kun Lu, and Xin An. A Topic Models based Framework for Detecting and Forecasting Emerging Technologies [J]. Technology Forecasting and Social Change, 2021, 162: 120366.
[2] Liang Chen, Shuo Xu*, Lijun Zhu, Jing Zhang, Xiaoping Lei, and Guancan Yang. A Deep Learning based Method for Extracting Semantic Information from Patent Documents [J]. Scientometrics, 2020, 125(1): 289-312.
[3] Shuo Xu, Liyuan Hao, Xin An, Hongshen Pang, and Ting Li. Review on Emerging Research Topics with Key-Route Main Path Analysis [J]. Scientometrics, 2020, 122(1): 607-624.
[4] Shuo Xu, Liyuan Hao, Xin An, Guancan Yang, and Feifei Wang. Emerging Research Topics Detection with Multiple Machine Learning Models [J]. Journal of Informetrics, 2019, 13(4): 100983.
[5] Shuo Xu and Xin An. ML2S-SVM: Multi-Label Least-Squares Support Vector Machine Classifiers [J]. The Electronic Library, 2019, 37(6): 1040-1058.
[6] Shuo Xu, Liyuan Hao, Xin An, Dongsheng Zhai, and Hongshen Pang. Types of DOI Errors of Cited References in Web of Science with a Cleaning Method [J]. Scientometrics, 2019, 120(3): 1427-1437.
[7] Shuo Xu, Dongsheng Zhai, Feifei Wang, Xin An, Hongshen Pang, & Yirong Sun. A Novel Method for Topic Linkages between Scientific Publications and Patents [J]. Journal of the Association for Information Science and Technology, 2019, 70(9): 1026-1042.
[8] Xin An, Yali Wen, Yaoqi Zhang, and Shuo Xu*. Evaluation of the Forestry and Environmental Conservation Policies in Western China with Multi-Output Regression Method [J]. Computers and Electronics in Agriculture, 2019, 159: 239-246.
[9] Shuo Xu, Junwan Liu, Dongsheng Zhai, Xin An, Zheng Wang, & Hongshen Pang. Overlapping Thematic Structures Extraction with Mixed-Membership Stochastic Blockmodel [J]. Scientometrics, 2018, 117(1): 61-84.
[10] Shuo Xu. Bayesian Naïve Bayes Classifier to Text Classification [J]. Journal of Information Science, 2018, 44(1): 48-59.
[11] Zheng Wang, Shuo Xu*, and Lijun Zhu. Semantic Relation Extraction Aware of N-Gram Features from Unstructured Biomedical Text [J]. Journal of Biomedical Informatics, 2018, 86: 59-70.
[12] Shuo Xu, Xiaodong Qiao, Lijun Zhu, Yunliang Zhang, Chunxiang Xue, and Lin Li. Reviews on Determining the Number of Clusters [J]. Applied Mathematics & Information Sciences, 2016, 10(4): 1-20.
[13] Shuo Xu, Xin An, Lijun Zhu, Yunliang Zhang, and Haodong Zhang. A CRF-based System for Recognizing Chemical Entity Mentions (CEMs) in Biomedical Literature [J]. Journal of Cheminformatics, 2015, 7(Suppl 1): S11.
[14] Shuo Xu, Qingwei Shi, Xiaodong Qiao, Lijun Zhu, Han Zhang, Hanmin Jung, Seungwoo Lee, and Sung-Pil Choi. A Dynamic Users’ Interest Discovery Model with Distributed Inference Algorithm [J]. International Journal of Distributed Sensor Network, 2014, 2014(280892): 1-11.
[15] Shuo Xu, Xin An, Xiaodong Qiao, and Lijun Zhu. Multi-Task Least-Squares Support Vector Machines [J]. Multimedia Tools and Applications, 2014, 71(2): 699-715.
[16] Shuo Xu, Xin An, Xiaodong Qiao, Lijun Zhu, and Lin Li. Multi-Output Least-Squares Support Vector Regression Machines [J]. Pattern Recognition Letters, 2013, 34(9): 1078-1084.
[17] 张晗，徐硕*，乔晓东.融合科技文献内外部特征的主题模型发展综述[J].情报学报，2014，33(10): 1108-1120.
[18] 史庆伟，乔晓东，徐硕*，农国武.作者主题演化模型及其在研究兴趣演化分析中的应用[J].情报学报，2013，32(9): 912-919.
[19] 徐硕，乔晓东，朱礼军，张运良，薛春香.共现聚类分析的新方法：最大频繁项集挖掘[J].情报学报，2012，31(2): 143-150.
[20] 徐硕，乔晓东，朱礼军，郭怀恩.仅根据Proximity数据构建向量空间模型的方法[J].情报学报, 2011，30(11): 1163-1170.
[21] 徐硕，朱礼军，乔晓东，薛春香.基于双序列比对的中文术语相似度计算的新方法[J].情报学报，2010，29(4): 701-708.
[22] 徐硕著.基于论文和专利资源的技术机会发现方法.北京：科学技术文献出版社.
发明专利：
[1] 徐硕，史庆伟，乔晓东，朱礼军.科研信息演化的分析方法和装置.专利号：ZL201310522710.6.授权时间：2017.01.11.（中国）
[2] Shuo Xu, Qingwei Shi, Xiaodong Qiao, and Lijun Zhu. Analysis Method and Device for Scientific Research Information Revolution.专利号：10-1679249.授权时间：2016.11.18.（韩国）
