Abstract: 【Purpose/significance】Inter-discipline is a remarkable feature of scientific development today.Interdisciplinary research
that focuses on interdisciplinary features can not only provide important clues for clarifying interdisciplinary research topics,but also
provides theoretical and methodological basis for interdisciplinary research management and evaluation.【Method/process】This study
takes interdisciplinarity researches as the research object,using the Coherence Score and LDA combined topic mining model to identi?
fy the main topics of interdisciplinary research.After that,we use bibliometrics methods to explore the evolutionary characteristics of in? terdisciplinarity literatures from the macro and micro levels.【Result/conclusion】The results show that interdisciplinarity researches are developing rapidly.They are not only derived from the internal motivation of cross-disciplinary exploration of social sciences and ecology,but also from the external motivation of complex issues such as climate change and vulnerability of the ecological environment. The evaluation indicators and methods of interdisciplinary researches are more complex and comprehensive.Hence,integrating emerg? ing technologies such as big data and artificial intelligence is the future development trend.Various forms of interdisciplinary educa? tion are the fundamental measures to promote the development of interdisciplinary research.【Innovation/limitation】The multi-dimen? sional analysis of interdisciplinary research hot topics and future development trends could provide references for national science and technology policy formulation and scientific researchers to carry out related research.