Discovering Commonly Shared Semantic Concepts of Eligibility Criteria for Learning Clinical Trial Design. - Tianyong Hao; Xieling Chen; Guimin Huang (ICWL, 2015)

A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China. - Xieling Chen; Heng Weng; Tianyong Hao (HIS, 2017)

Discovering the Recent Research in Natural Language Processing Field Based on a Statistical Approach. - Xieling Chen; Boyu Chen; Chunxia Zhang 001; Tianyong Hao (SETE@ICWL, 2017)

A Bibliometric Analysis of the Research Status of the Technology Enhanced Language Learning. - Xieling Chen; Juntao Hao; Junjie Chen; Songshou Hua; Tianyong Hao (SETE@ICWL, 2018)

A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017. - Xieling Chen; Ziqing Liu; Li Wei; Jun Yan 010; Tianyong Hao; Ruoyao Ding (BMC Medical Informatics Decis. Mak., 2018)

A bibliometric analysis of natural language processing in medical research. - Xieling Chen; Haoran Xie 001; Fu Lee Wang; Ziqing Liu; Juan Xu; Tianyong Hao (BMC Medical Informatics Decis. Mak., 2018)

A bibliometric analysis of text mining in medical research. - Tianyong Hao; Xieling Chen; Guozheng Li 001; Jun Yan 010 (Soft Comput., 2018)

A Bibliometric Review of Natural Language Processing Empowered Mobile Computing. - Xieling Chen; Ruoyao Ding; Kai Xu 010; Shan Wang 002; Tianyong Hao; Yi Zhou 005 (Wirel. Commun. Mob. Comput., 2018)

Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach. - Xieling Chen; Xinxin Zhang; Haoran Xie 001; Fu Lee Wang; Jun Yan 010; Tianyong Hao (HBAI@IJCAI, 2019)

The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. - Xieling Chen; Dongfa Gao; Yonghui Lun; Dingli Zhou; Tianyong Hao; Haoran Xie 001 (SETE@ICWL, 2019)

Exploring two decades of research on classroom dialogue by using bibliometric analysis. - Yu Song; Xieling Chen; Tianyong Hao; Zhinan Liu; Zixin Lan (Comput. Educ., 2019)

Discovering thematic change and evolution of utilizing social media for healthcare research. - Xieling Chen; Yonghui Lun; Jun Yan 010; Tianyong Hao; Heng Weng (BMC Medical Informatics Decis. Mak., 2019)

A bibliometric analysis of event detection in social media. - Xieling Chen; Shan Wang 002; Yong Tang 001; Tianyong Hao (Online Inf. Rev., 2019)

Core Research Topics of Studies on Personalized Feedback in the Past Four Decades. - Xieling Chen; Di Zou; Gary Cheng 001; Haoran Xie 001; Fu Lee Wang; Leung Pun Wong (DASFAA (Workshops), 2020)

What Are MOOCs Learners' Concerns? Text Analysis of Reviews for Computer Science Courses. - Xieling Chen; Di Zou; Haoran Xie 001; Gary Cheng 001 (DASFAA (Workshops), 2020)

Smart Learning Environments: A Bibliometric Analysis. - Xieling Chen; Di Zou; Haoran Xie 001; Fu Lee Wang (ICBL, 2020)

Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective. - Xieling Chen; Di Zou; Haoran Xie 001 (Br. J. Educ. Technol., 2020)

A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers. - Xieling Chen; Haoran Xie 001; Gwo-Jen Hwang (Comput. Educ. Artif. Intell., 2020)

Application and theory gaps during the rise of Artificial Intelligence in Education. - Xieling Chen; Haoran Xie 001; Di Zou; Gwo-Jen Hwang (Comput. Educ. Artif. Intell., 2020)

Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. - Xieling Chen; Di Zou; Gary Cheng 001; Haoran Xie 001 (Comput. Educ., 2020)

A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature. - Xieling Chen; Haoran Xie 001 (Cogn. Comput., 2020)

Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis. - Xieling Chen; Di Zou; Gary Cheng 001; Haoran Xie 001 (ICALT, 2021)

Systematic Evaluation of Research Progress on Technology-Enhanced Language Learning: Content Analysis and Knowledge Mapping. - Xieling Chen; Di Zou; Haoran Xie 001; Gary Cheng 001 (SETE, 2021)

Understanding MOOC Reviews: Text Mining using Structural Topic Model. - Xieling Chen; Gary Cheng 001; Haoran Xie 001; Guanliang Chen; Di Zou (Hum. Centric Intell. Syst., 2021)

Topic analysis and development in knowledge graph research: A bibliometric review on three decades. - Xieling Chen; Haoran Xie 001; Zongxi Li; Gary Cheng 001 (Neurocomputing, 2021)

A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research. - Xieling Chen; Xinxin Zhang; Haoran Xie 001; Xiaohui Tao 001; Fu Lee Wang; Nengfu Xie; Tianyong Hao (Multim. Tools Appl., 2021)

Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling. - Xieling Chen; Ruofei Zhang; Di Zou; Gary Cheng 001; Haoran Xie 001; Fu Lee Wang (BESC, 2022)

Understanding Classroom Interaction Using Epistemic and Social Network Analysis. - Xieling Chen; Di Zou; Gary Cheng 001; Haoran Xie 001 (ICBL, 2022)

Machine and cognitive intelligence for human health: systematic review. - Xieling Chen; Gary Cheng 001; Fu Lee Wang; Xiaohui Tao 001; Haoran Xie 001; Lingling Xu (Brain Informatics, 2022)

Vision, status, and topics of X Reality in Education. - Xieling Chen; Haoran Xie 001; Qing Li 001 (Comput. Educ. X Real., 2022)

A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis. - Xieling Chen; Haoran Xie 001; Gary Cheng 001; Zongxi Li (Cogn. Comput., 2022)

A decade of learning analytics: Structural topic modeling based bibliometric analysis. - Xieling Chen; Di Zou; Haoran Xie 001 (Educ. Inf. Technol., 2022)

A bibliometric analysis of the trends and research topics of empirical research on TPACK. - Di Zou; Xinyi Huang; Lucas Kohnke; Xieling Chen; Gary Cheng 001; Haoran Xie 001 (Educ. Inf. Technol., 2022)

Understanding Learners' Perception of MOOCs Based on Review Data Analysis Using Deep Learning and Sentiment Analysis. - Xieling Chen; Fu Lee Wang; Gary Cheng 001; Man-Kong Chow; Haoran Xie 001 (Future Internet, 2022)

Thirty years of interactive learning environments: contributors, collaborations and research topics. - Xieling Chen; Di Zou; Gary Cheng 001; Haoran Xie 001 (Int. J. Mob. Learn. Organisation, 2022)

A bibliometric analysis of game-based collaborative learning between 2000 and 2019. - Xieling Chen; Di Zou; Haoran Xie 001; Gary Cheng 001; Fan Su (Int. J. Mob. Learn. Organisation, 2022)

Global research on artificial intelligence-enhanced human electroencephalogram analysis. - Xieling Chen; Xiaohui Tao 001; Fu Lee Wang; Haoran Xie 001 (Neural Comput. Appl., 2022)

Vision, status, and research topics of Natural Language Processing. - Xieling Chen; Haoran Xie 001; Xiaohui Tao 001 (Nat. Lang. Process. J., 2022)

A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis. - Xieling Chen; Haoran Xie 001; Jingjing Wang; Zongxi Li; Gary Cheng 001; Man Leung Wong; Fu Lee Wang (IEEE Trans. Artif. Intell., 2022)

ChatGPT for generating stories and mind-maps in storytelling. - Xieling Chen; Haoran Xie 001; Di Zou; Fu Lee Wang (BESC, 2023)

Author Correction: Blockchain in smart education: Contributors, collaborations, applications and research topics. - Xieling Chen; Di Zou; Gary Cheng 001; Haoran Xie 001; Morris S. Y. Jong (Educ. Inf. Technol., 2023)

Information fusion and artificial intelligence for smart healthcare: a bibliometric study. - Xieling Chen; Haoran Xie 001; Zongxi Li; Gary Cheng 001; Mingming Leng; Fu Lee Wang (Inf. Process. Manag., 2023)

Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. - Xieling Chen; Di Zou; Haoran Xie 001; Guanliang Chen; Jionghao Lin; Gary Cheng 001 (Educ. Inf. Technol., 2023)

Blockchain in smart education: Contributors, collaborations, applications and research topics. - Xieling Chen; Di Zou; Gary Cheng 001; Haoran Xie 001; Morris S. Y. Jong (Educ. Inf. Technol., 2023)

Leveraging deep learning for automatic literature screening in intelligent bibliometrics. - Xieling Chen; Haoran Xie 001; Zongxi Li; Dian Zhang 001; Gary Cheng 001; Fu Lee Wang; Hong-Ning Dai; Qing Li 001 (Int. J. Mach. Learn. Cybern., 2023)

Metaverse in Education: Contributors, Cooperations, and Research Themes. - Xieling Chen; Di Zou; Haoran Xie 001; Fu Lee Wang (IEEE Trans. Learn. Technol., 2023)

Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts. - Xieling Chen; Zongxi Li; Di Zou; Fu Lee Wang; Haoran Xie 001; Leung Pun Wong (ICBL, 2024)

Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics. - Xieling Chen; Haoran Xie 001; Xiaohui Tao 001; Fu Lee Wang; Mingming Leng; Baiying Lei (Artif. Intell. Rev., 2024)

Technologies in content and language integrated learning: types, purposes, and outcomes. - Xieling Chen; Di Zou; Haoran Xie 001 (Int. J. Mob. Learn. Organisation, 2024)

A topic modeling-based bibliometric exploration of automatic summarization research. - Xieling Chen; Haoran Xie 001; Xiaohui Tao 001; Lingling Xu; Jingjing Wang; Hongning Dai; Fu Lee Wang (WIREs Data. Mining. Knowl. Discov., 2024)

Deep neural networks for the automatic understanding of the semantic content of online course reviews. - Xieling Chen; Di Zou; Gary Cheng 001; Haoran Xie 001 (Educ. Inf. Technol., 2024)

Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis. - Xieling Chen; Haoran Xie 001; S. Joe Qin; Yaping Chai; Xiaohui Tao 001; Fu Lee Wang (Cogn. Comput., 2024)

Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses. - Xieling Chen; Haoran Xie 001; Xiaohui Tao 001; Fu Lee Wang; Jie Cao 001 (Int. J. Mach. Learn. Cybern., 2024)

Fine-Tuned BERT Model for Sentiment Classification of Chinese MOOCs. - Xieling Chen; Haoran Xie 001; Di Zou; Lingling Xu; Fu Lee Wang (ICBL, 2025)

Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs. - Xieling Chen; Haoran Xie 001; Di Zou; Gary Cheng 001; Xiaohui Tao 001; Fu Lee Wang (Comput. Educ. Artif. Intell., 2025)

Sentiment analysis for stock market research: A bibliometric study. - Xieling Chen; Haoran Xie 001; Zongxi Li; Han Zhang 043; Xiaohui Tao 001; Fu Lee Wang (Nat. Lang. Process. J., 2025)

Educational chatbot research: text mining and bibliometrics. - Xieling Chen; Di Zou; Haoran Xie 001; Fu Lee Wang (Interact. Learn. Environ., 2025)

A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling. - Xieling Chen; Haoran Xie 001; Xiaohui Tao 001; Fu Lee Wang; Dian Zhang 001; Hong-Ning Dai (J. Big Data, 2025)