Fetch the list of papers authored by a specific author.; Fetch the papers of an author in batches.
Semantic Scholar 论文推荐 API
通过 Semantic Scholar 学术图谱(S2AG)API 下载全语料库数据集。最新版本可通过 https://api.semanticscholar.org/datasets/v1/release/latest 获取,该端点返回包含发布 ID(例如 "2023-03-28")及可用数据集列表的元数据。每个数据集(如 "abstracts")均附带描述和 README 文件。"abstracts" 数据集包含约 1 亿篇论文摘要,分布在 30 个文件中,每个文件大小约为 1.8 GB。要获取文件下载 URL,请调用特定数据集端点:https://api.semanticscholar.org/datasets/v1/release/latest/dataset/abstracts,该端点在 "files" 数组中提供数据文件的直接下载链接。Python 示例代码使用 requests 库获取 JSON 响应,并打印相关信息,例如最新发布版本、数据集详情以及用于下载的文件路径。该 API 为研究与分析提供了高效访问大规模学术数据的能力。
继续配置此服务商
此服务商级交接只保留公开 ID,不会猜测工具或业务任务;请在重新发现时选择当前工具,之后才能把配置视为完整。
- 已选服务商
- semantic_scholar
- 已选工具
- 未知——请在重新发现时确认
- 业务任务
- 未知——请在重新发现时确认
- 目录更新时间
- 未知——请在重新发现时确认
Get details about an author
Search for authors by name
Search for authors by plain-text name query.; Search for authors using a plain-text query.
Fetch author details for a specific paper with pagination and field selection; Fetch details about the authors of a specific paper.
To support interactive query-completion, return minimal information about papers matching a partial query; To support interactive query-completion, return minimal information about papers matching a partial query.
Fetch details about the papers cited by this paper
Fetch detailed information about a specific paper using various ID formats; Fetch detailed information about a specific paper by its ID.
Search for papers in bulk without search relevance, intended for large-scale retrieval
Bulk retrieval of basic paper data without search relevance, supporting boolean logic and continuation tokens
