CHUN-CHIEH WANGDAR-ZEN CHENKuan, Chung-HueiChung-HueiKuanHsueh, Chao-ChihChao-ChihHsueh2024-11-052024-11-052024-10https://www.scopus.com/record/display.uri?eid=2-s2.0-85206797312&origin=resultslisthttps://scholars.lib.ntu.edu.tw/handle/123456789/722741Research teams naturally appear from long-term collaborations. However, effectively tracking their evolution, showing cross-team participation, and defining team activity periods pose significant challenges. To address these issues, we propose an innovative method involving the computation of an annual active index for each researcher. We applied our method to analyze the solid-state battery domain. Leveraging co-inventor relationships, we found 246 teams, categorized into three groups based on their size. Approximately one-third of these teams drive technological development, with more than half of the members taking part in multiple teams simultaneously. Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada.falseActive MemberBibliometricsCollaboration NetworkResearch Team DetectionSolid-state BatteryDetecting Research Teams through Active Collaborative Participationjournal article10.1002/pra2.12052-s2.0-85206797312