摘要随着科研问题日益综合化与复杂化，科研合作及学科交叉趋势愈演愈烈，此过程中知识交叉是知识相互作用、融合、创新的过程，可能带来斐然的科研成果。突破已有学科交叉研究的学科粒度及成果静态呈现视角，本文探究了科研主体与合作者在前期动态知识经验累积上的细粒度知识交叉的测量及对其持续科研产出的影响。基于SciBERT（bidirectional encoder representations from transformers for scientific text）模型对论文句子及关键词的表示能力，利用文本挖掘方法，构建科研主体的科研合作知识交叉强度测量模型。以信息系统学科的论文发表数据为例，构建面板数据，使用广义倾向性得分匹配方法进行因果效应分析，并探究研究问题和研究方法维度上知识交叉的影响差异。研究结果表明，科研合作的知识交叉对于科研主体下一阶段的科研产出数量呈现倒U形的影响关系，科研主体在研究方法上开展科研合作的知识交叉比在研究问题上的知识交叉更能影响其后续的持续科研产出。
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