Aminer academic search

(Slower) Original natural language question. If enabled, the question will be split into keywords to search for papers. If topic_high and other keywords are also provided, the keywords obtained from this parameter will take precedence.

Can be used only when use_topic is set to true. Joint search term list, must appear in the search terms, uses nested array JSON format. Example: [[‘相变储能’, ‘phase change energy storage’, ‘PCM’], [‘量子化学计算’, ‘quantum chemistry calculation’]]. The innermost arrays represent “or”, while the outer arrays represent “and”.

Whether to use federated search. If set to true, the search will be performed using the topic field.

Significant bonus array, format same as topic_high

Small bonus score array, format same as topic_high

When use_topic is false, you can use title for querying.

doi

year array

Filter whether it is an SCI paper

If enabled, additional points will be awarded to those with a high number of citations.

The maximum number that can be queried at one time

Offset

Sort strictly according to citation

Sort strictly by year

Author name search, with “or” logic in the array. Include as many variations as possible, such as 张三, zhang s, zhangsan, z s, etc.

Organization name query, with “or” applied within the array

User Question

Types of data resources used: 1. AMiner; 2. arXiv; 3. PubMed

Whether to use network resources

期刊id

起始位置

条数

学者姓名

起始位置，最大为 0

机构名

条数，最大为 10

机构实体 ID 数组