近五年代表性成果
期刊论文：
一、SCI/SSCI 期刊论文
[1]Ma Y X, Ba Z C, Zhao H P, et al. How to configure intellectual capital of research teams for triggering scientific breakthroughs: Exploratory study in the field of gene editing[J]. Journal of Informetrics, 2023, 17(4): 101459.
[2]Ma Y X, Li T T, Mao J, Ba Z C, Li G. Identifying widely disseminated scientific papers on social media[J]. Information Processing & Management, 2022, 59(3), 102945.
[3]Ma Y X, Ba Z C, Zhao Y X, et al. Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling-artificial neural network approach[J]. Scientometrics, 2021, 126(8): 7051-7085.
[4]Ma Y X, Mao J, Ba Z C, Li G. Location recommendation by combining geographical, categorical, and social preferences with location popularity[J]. Information Processing & Management, 2020, 57(4), 102251.
[5]Li Y, Ma Y X*; Wang J J. Predicting technology convergence patterns by integrating industrial-application-generated connections: A multi-layer network approach[J]. Expert Systems With Applications, 2025, 275: 126994.
[6]Zheng Z J, Ma Y X*, Ba Z C, Pei L. Tree knowledge structure for better insight: Capturing biomedical science-technology knowledge linkage with MeSH[J]. Journal of Informetrics, 2024, 18(4):101568.
[7]Ba Z C, Ma Y X*, Cai J Y, et al. A citation-based research framework for exploring policy diffusion: Evidence from China's new energy policies[J]. Technological Forecasting and Social Change, 2023, 188: 122273.
[8]Wang S Y, Ma Y X*, Mao J, et al. Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities[J]. Journal of the Association for Information Science and Technology, 2022, 1–18.
[9]Ba Z C, Mao J, Ma Y X*, Liang Z T, Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field[J]. Journal of Informetrics, 2021, 15(3): 101198.
[10]Ba Z C, Meng K, Ma Y X, Xia Y K. Discovering technological opportunities by identifying dynamic structure-coupling patterns and lead-lag distance between science and technology[J]. Technological Forecasting and Social Change, 2024, 200: 123147.
[11]Chen X, Mao J, Ma Y X, Li G. The knowledge linkage between science and technology influences corporate technological innovation: Evidence from scientific publications and patents[J]. Technological Forecasting and Social Change, 2024, 198:122985.
[12]Meng K, Ba Z C, Ma Y X, Li G. A Network Coupling Approach to Detecting Hierarchical Linkages between Science and Technology[J]. Journal of the Association for Information Science and Technology, 2024, 75(2):167-187.
二、CSSCI 期刊论文
[1]马亚雪, 巴志超, 曹祯庭, 孙建军. 科学-技术关联对高技术产业创新绩效的影响研究——对外技术依存度的调节作用[J]. 情报学报, 2024,43(07):839-849.
[2]马亚雪,王秀,熊宇宸,等.突破性科学创新研究：内涵、进展与展望[J/OL].现代情报,1-16[2025-09-29].
[3]马亚雪,王嘉杰,巴志超,等.颠覆性技术的后向科学引文知识特征识别研究——以基因工程领域为例[J].图书情报工作,2024,68(01):116-126.
[4]马亚雪,毛进,李纲.面向科学社会计算的数据组织与建模方法[J].中国图书馆学报,2021,47(01):76-87.
[5]马亚雪,李纲,谢辉,马超.数字空间视角下的城市数据画像理论思考[J].情报学报, 2019,38(01):58-67.
[5]李悦,马亚雪*,孙建军.区域技术“关键-共性”特征对产业创新绩效的影响研究——以燃料电池汽车领域为例 [J].信息资源管理学报, 2024,14(04):117-132+161.
[6]王焘,马亚雪*,吴柯烨.区域新兴产业创新生态系统联动效应对科技人才流动的影响研究[J/OL].现代情报,2024,44(11):139-151.
[7]陈稳,马亚雪*,巴志超,等.基于动态知识流动特征的有向技术融合预测方法[J].情报杂志,2024,43(08):152-159+41.
[8]李悦,马亚雪*,张宇,等.基于知识关联度的科学论文扩散效果预测研究——早期施引文献的作用[J].现代情报,2023,43(11):73-84.
[9]张宇,马亚雪*,李悦,等.新兴交叉学科知识元生存时间影响因素研究[J].图书与情报,2023,(05):40-50.
[10]李纲,管为栋,马亚雪*,等.学术论文的社交媒体可见性预测研究[J].数据分析与知识发现,2020,4(08):63-74.
同行评议会议论文：
[1]Ma Y X, Ba Z C, Li G. Understanding the dynamic process and determinants of scientific papers’ diffusion on social media[C]// In Proceedings of iConference 2021, Beijing, China, 2021. (Poster, 领域顶级国际会议)
[2]Ma Y X, Mao J, Li G. How are ego-centric networks of researchers coupled? [C]// In Proceedings of iConference 2020, Borås, Sweden, 2020. (Poster, 领域顶级国际会议)
[3]Ma Y X, Mao J, Li G. Location recommendation by combining geographical, categorical, and social preferences with location popularity[C]// In Proceedings of 2019 Annual Meeting of the American Society for Information Science and Technology (ASIS&T’2019), Melbourne, Australia, 2019. (Poster, 领域顶级国际会议)
[4]Chen W, Ma Y X*., Ba Z C, Li G. Identifying reuse patterns of novel technologies based on the shape of technology trajectories[C]// In Proceedings of iConference 2024, Jilin, China, 2024. (Poster, 领域顶级国际会议)
[5]Li Y, Ma Y X*. How does the regional technical criticality and generic-ness affect industrial innovation performance? The moderating effect of collaboration depth and breadth[C]// In Proceedings of iConference 2024, Jilin, China, 2024. (Poster, 领域顶级国际会议)
[6]Wang S Y, Mao J, Ma Y X. The correlation between content novelty and scientific impact[C]// In Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2021) at the ACM/IEEE Joint Conference on Digital Libraries 2021 (JCDL2021), Online, 2021. (Poster)
