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基于BERTopic主题模型的锂电池前沿监测及主题分析研究

周洪 俞海龙 王丽平 黄学杰

储能科学与技术2025,Vol.14Issue(1):406-416,11.
储能科学与技术2025,Vol.14Issue(1):406-416,11.DOI:10.19799/j.cnki.2095-4239.2024.0697

基于BERTopic主题模型的锂电池前沿监测及主题分析研究

Frontier monitoring and topic analysis of lithium batteries based on BERTopic model

周洪 1俞海龙 2王丽平 3黄学杰2

作者信息

  • 1. 中国科学院武汉文献情报中心,湖北 武汉 430071||中国科学院大学经济与管理学院信息资源管理系,北京 100191
  • 2. 中国科学院物理研究所,北京 100190
  • 3. 电子科技大学材料与能源学院,四川 成都 611731
  • 折叠

摘要

Abstract

The number of papers published in the field of lithium batteries is increasing rapidly,and increasingly diverse research topics are being explored.Against this backdrop,accurately monitoring the development trends and understanding the latest research directions in this field has become an increasingly complex task.By applying big data and machine-learning technologies,the BERTopic model was used to conduct text analysis on more than 180000 papers on the lithium battery from the Web of Science database.The topic landscape of this field of study was mapped,and emerging research topics and highly cited topics were identified.The results show that research on lithium batteries is significantly accelerating,and the emerging topics are lithium-sulfur batteries,dendrite growth inhibition,battery recycling,and metal recycling rapidly developing.Meanwhile,material research topics such as molybdenum disulfide nanomaterials and iron oxide electrode materials have significant academic influence.The study also discusses the monitoring of current lithium battery research topics by the"Reviews of selected 100 recent papers for lithium batteries",which has good coverage of most scientific and technological topics.This research provides a new method for topic monitoring in the field of lithium batteries,offering intelligence support for policy-making and technological development and providing references for subsequent research in the"Reviews of selected 100 recent papers for lithium batteries."

关键词

锂电池/BERTopic/新兴主题/高被引主题/前沿监测

Key words

lithium batteries/BERTopic/emerging topics/highly cited topic/frontier monitoring

分类

信息技术与安全科学

引用本文复制引用

周洪,俞海龙,王丽平,黄学杰..基于BERTopic主题模型的锂电池前沿监测及主题分析研究[J].储能科学与技术,2025,14(1):406-416,11.

基金项目

北京市凝聚态物理实验中心项目(2023BNLCMPKF015) (2023BNLCMPKF015)

国家自然科学基金(22322903) (22322903)

中国科学院武汉文献情报中心青年领军人才项目(E0KZ451). (E0KZ451)

储能科学与技术

OA北大核心

2095-4239

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