Tongji University's publications on Artificial Intelligence (2004-2023 Dataset)

The dataset is comprised of the Web of Science (WoS) records analysed in the course of writing the paper Interdisciplinarity and Artificial Intelligence: a Two-Dimensional Analysis of Diversity and Cohesion, Li et al. To study the trends and situation of disciplinary integration in the interdisciplinary research field of AI, this paper selects Tongji University as a case study and collects all published papers in the AI interdisciplinary field at Tongji University. The Web of Science core collection database is used as the data source. We refer to the search terms employed in the 2018 China Artificial Intelligence Development Report published by the Tsinghua University Science and Technology Policy Research Center, combined with expert opinions. The search strategy is as follows: (TS=("artificial intelligence" OR"machine learning" OR"natural language processing" OR"computer vision" OR"facial recognition" OR"image recognition"OR"speech recognition" OR"semantic search" OR"semantic web" OR"text analytics" OR"virtual assistan" OR"visual search" OR"predictive analytics" OR"intelligent system" OR"Deep Learning" OR"Robotics" OR"Autonomous Systems" OR"Human-Computer Interaction" OR"ChatGPT")) AND AD=(tongji), no time frame was set, and the "Affiliation" filter was applied to select "TONGJI UNIVERSITY". This search strategy resulted in the retrieval of 3,839 articles retrieved, conducted on October 3, 2024. After deduplication, 3,367 valid articles were retained for subsequent subject categories mapping. Based on the Journal Citation Reports (JCR) from the WoS, which provides the subject category information of each journal (a total of 254 WoS categories), we mapped each reference's corresponding journal to one or more WoS categories. A total of 157,761 reference records were mapped to categories. After data cleaning and mapping the references' categories, references with fewer than three subject categories were removed. As a result, 2,783 papers were selected as the sample for this study (spanning the period from 2004 to 2023). We provide this dataset to allow for researchers to reproduce the findings.