基于 OpenAlex 与 Crossref 双源交叉验证，智能解析引用字段并评估可信度，支持 GB/T 7714、APA、MLA、IEEE、Chicago 等多种主流格式，支持 AI 增强条目整理、字段解析、评分等环节。 低可信度表示未匹配到文献，可能因文献不存在或未被数据源收录（中文文献尤甚），也可能因字段解析错误（尤其是标题项），欢迎反馈；中可信度建议查看评分细项定位低分项，并核对引用格式及文献信息是否更新。
综合分
0.6
0.4
系统支持智能解析多种常见参考文献格式。即使格式不完全规范，也能尽量识别关键信息。
张三, 李四. 人工智能在医学影像中的应用研究[J]. 计算机学报, 2020, 43(5): 1024-1035.
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John A. Smith, "Deep Learning in Medical Imaging," Nature Medicine 26, no. 3 (2020): 317-325.
J. A. Smith, "Deep learning in medical imaging," Nature Medicine, vol. 26, no. 3, pp. 317-325, 2020.
Smith, John A. "Deep Learning in Medical Imaging." Nature Medicine 26, no. 3 (2020): 317-325.
Smith JA, Johnson BC. Deep learning in medical imaging. Nature Medicine. 2020;26(3):317-325.
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Smith, J. A. Deep learning in medical imaging. Nature Medicine 26, 317–325 (2020).
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