张硕，女，管理学博士。2022年毕业于北京理工大学，获管理科学与工程专业博士学位。现为北京工业大学经济与管理学院讲师。主要研究方向为数据挖掘与技术预测、科技文本挖掘与知识发现、复杂网络分析与应用，近期重点关注能源与低碳技术预见、基于复杂网络的科技数据建模分析以及大规模科技文本处理。

近年来，在Technological Forecasting & Social Change、Scientometrics、Neural Computing & Applications、Computing、IEEE Transactions on Engineering Management、《科学学与科学技术管理》、《图书情报工作》、《软科学》等国内外重要学术期刊和会议发表论文20余篇，担任Scientometrics、Computing、Plos One、Journal of Clean Production等期刊审稿人。主持富媒体数字出版内容组织与知识服务重点实验室开放基金项目一项，参与国家重点研发计划、国家自然科学基金面上项目、专项项目以及国家社会科学基金项目多项。

部分论文

1.Wang, X*.,Zhang, S., Liu, Y., Du, J., & Huang, H. How pharmaceutical innovation evolves: the path from science to technological development to marketable drugs [J]. Technological Forecasting & Social Change, 2021, 167(43): 120698. (SSCI, FMS B, 10.884)

2.Wang, X*.,Zhang, S., Wu, Y., & Yang, X. Revealing potential drug-disease-gene association patterns for precision medicine [J]. Scientometrics, 2021, 126(5): 3723-3748. (SCI/SSCI, FMS B, 3.801)

3.Wang, X.,Zhang, S., Liu, Y*. ITGInsight – discovering and visualizing research fronts in the scientific literature [J]. Scientometrics, 2021, 127(11): 6509-6531. (SCI/SSCI, FMS B, 3.801)

4.Wu, Z*., &Zhang, S. Study on the spatial–temporal change characteristics and influence factors of fog and haze pollution based on gam [J]. Neural Computing and Applications, 2019, 31(5):1619–1631. (SCI/SSCI, JCR Q1, 2.102)

5.Wu, Z*., &Zhang, S., Wang, T. A cooperative particle swarm optimization with constriction factor based on simulated annealing [J]. Computing, 2018, 100(8): 861-880. (SCI/SSCI, JCR Q2, 2.42)

6.Zhang S., & Wu, Z*. Coevolution model for public opinion information based on coupling network [J]. Boletin Tecnico/Technical Bulletin, 2017, 55(7): 432-438. (EI)

7.Zhang S., Yang, Y., Wu, Z*. Using improved jump-diffusion modeling for valuing R&D investment [C]. Proceedings of 2017 International Workshop on Computer Science and Engineering, WCSE 2017, June 25, 2017-June 27, 2017, Beijing, China. (EI)

8.Li, R., Wang, X*., Liu, Y., &Zhang, S. Improved technology similarity measurement in the medical field based on subject-action-object semantic structure: a case study of alzheimer's disease [J]. IEEE Transactions on Engineering Management, In press, DOI: 10.1109/TEM.2020.3047370. (SCI, FMS A, 8.792)

9.Wu, Y., Zhu, D., Wang, X*., &Zhang, S. An ensemble learning framework for potential miRNA-disease association prediction with positive-unlabeled data. Computational Biology and Chemistry [J], 2021, 95: 107566. (SCI/SSCI, JCR Q2, 3.737)

10.Li, R., Wang, X*., Liu, Y.,Zhang, S., & Hanif, O. Research status and collaboration analysis based on big data mining: an empirical study of alzheimer's disease [J]. Technology Analysis & Strategic Management, 2020, 33(4): 379-395. (SSCI，FMS C, 3.745)

11.Wang, X*., Qiao, Y., Hou, Y.,Zhang, S., & Han, X. Measuring technology complementarity between enterprises with an hlda topic model [J]. IEEE Transactions on Engineering Management, 2019, 68(5): 1309-1320. (SCI, FMS A, 8.792)

12.Wang, X.,Zhang, S., Liu, Y*. ITGInsight — discovering and visualizing science, technology and innovation information for generating competitive technological intelligence [C]. Proceedings of the 1st Workshop on AI + Informetrics co-located with the iConference 2021, AII 2021, March 17, 2021, Beijing, China. (EI)

13.张硕，汪雪锋*，乔亚丽，刘玉琴.技术预测研究现状、趋势及未来思考：数据分析视角（特约综述）[J].图书情报工作，2022, 66(10): 4-18. (CSSCI, FMS T2)

14.张硕，陶蕊*，施筱勇.中国科技评价研究热点述评[J].科技管理研究, 2021, 41(18): 58-65. (CSSCI)

15.张硕,杨一平*,武装.基于多学习因子粒子群算法的微博用户影响力分[J].软科学, 2017, 31(10):140-144. (CSSCI)

16.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. (CSSCI, FMS T2)

17.汪雪锋*,张硕,韩晓彤,乔亚丽.技术预测研究现状与未来展望(特约综述) [J].农业图书情报学报, 2019, 31(6)：4-11.（中国科技核心）

18.乔亚丽，黄颖，张硕，汪雪锋*.多维视角下颠覆性技术识别：研究进展与未来思考[J].情报杂志, 2022, 41(8): 45-52. (CSSCI)

主要会议论文/特邀报告

1.iConference2021，北京，2021/03，英文报告. ITGInsight —discovering and visualizing science, technology and innovation information for generating competitive technological intelligence.

2.10th Global TechMing Conference，北京，2020/11，英文报告. ITGInsight —discovering and visualizing science, technology and innovation information for generating competitive technological intelligence.

3.2019情报学与情报工作发展论坛，武汉，2019/11，中文报告. Revealing potential association patterns in drug-disease-gene for precision ,edicine.

4.第十五届中国科技政策与管理学术年会，南昌，2019/10，中文报告.面向精准医疗的疾病—基因关联关系挖掘研究.

5.17th International Conference on Scientometrics & Informetrics，意大利罗马，2019/09，英文报告. Revealing interaction between scientific research and technology development in biological medicine field by science-technology-marketed drugs linkages analysis.

6.7th International Workshop on Computer Science and Engineering，北京，2017/06，英文报告. Using improved jump - diffusion modeling for valuing R&D investment”.

7.The 10th International Conference on Management of e-Commerce and e-Government，济南，2016/08，英文报告. Analysis of cloud providers' pricing strategy based on extended hotelling Model.

8.The 2016 International Conference on Computer Science and Artificial Intelligence，桂林，2016/08，英文汇报. Stock market prediction with improved BP neural network.

部分科研项目

1.文本和图像语义关联技术研究,富媒体数字出版内容组织与知识服务重点实验室开放基金项目，2019.08-2020.02，项目负责人

2.生物医学领域潜在颠覆性技术识别方法研究，国家自然科学基金面上项目，2021.01-至今，参与

3.GCRF research for health in conflict (R4HC-MENA): developing capability, partnerships and research in the Middle and Near East (MENA)，英国经济与社会研究委员会，2020.09-至今，参与

4.新时期联合基金资助与管理流程规范研究，国家自然科学基金专项项目，2021.07-2022.12,参与

5.知识产权信息共享与运营服务应用示范，国家重点研发计划，2020.09.30-2021.07.30，参与

6.国家自然科学基金项目专题绩效评价研究与探索，国家自然科学基金专项项目，2019.01-2019.12，参与

7.基于SAO语义挖掘的技术研发合作伙伴识别与选择方法，国家自然科学基金面上项目，2018.01-2021.12，参与

8.基于大数据与可视化的我国城市雾霾成因分析研究,国家社会科学基金项目，2017.12-2018.06，参与

荣誉奖励

1.国家留学基金委公派留学奖学金（伦敦国王学院），国家留学基金委，2020.08

2.北京理工大学“优秀学生”,北京理工大学，2021.11

3.北京理工大学管理与经济学院院长奖学金，北京理工大学，2021.11

联系方式

Email: zhangshuozs@bjut.edu.cn

地址：北京市朝阳区平乐园100号北京工业大学经济与管理学院

邮编：100124