Donghua Chen, Ph.D.

Assistant Professor

Department of Artificial Intelligence

School of Information Technology and Management

University of International Business and Economics, Beijing 100029, China

Email: dhchen[at]


2015-2020 School of Economics and Management, Beijing Jiaotong University, China, PhD

2018-2019 Schulich School of Engineering, University of Calgary, AB, Canada, PhD visiting student

2013-2015 School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, China, Master

2009-2013 School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, China, Bachelor

Research Areas

  1. Artificial Intelligence

  2. Big Data Analystics

  3. Medical Informatics

  4. Natural Language Processing

  5. Knowledge Engineering

Selected Publications

  1. Donghua Chen and Runtong Zhang. Exploring Research Trends of Emerging Technologies in Health Metaverse: A Bibliometric Analysis (January 5, 2022). Preprint at SSRN: [Link]. [Project Page].

  2. Donghua Chen, Runtong Zhang, and Robin G. Qiu. Noninvasive MapReduce Performance Tuning Using Multiple Tuning Methods on Hadoop, IEEE Systems Journal, 15(2):2906-2917, Sep 2020. [Code].

  3. Donghua Chen, Runtong Zhang, and Robin G. Qiu. Leveraging Semantics in WordNet to Facilitate the Computer-Assisted Coding of ICD-11. IEEE Journal of Biomedical and Health Informatics, 24(5):1469-1476, 2020. [Code].

  4. Donghua Chen, Runtong Zhang, Hongmei Zhao, and Jiayi Feng. A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics. Journal of Healthcare Engineering, 2019, 2019:1649363.

  5. Donghua Chen, Runtong Zhang, Jiayi Feng, and Kecheng Liu. Fulfilling Information Needs of Patients in Online Health Communities. Health Information and Libraries Journal, 2020, 37(1):48-59.

  6. Runtong Zhang, Donghua Chen, Xiaopu Shang, Xiaomin Zhu, and Kecheng Liu. A Knowledge-Constrained Access Control Model for Protecting Patient Privacy in Hospital Information Systems. IEEE Journal of Biomedical and Health Informatics, 2018, 22(3):904-911.

Selected Open-source Projects

  1. mmk-features: A light-weight Python library to utilize multimodal features for deep learning

  2. AB3DMT: Agent-based 3D modeling toolkit for human body simulation based on NetLogo

  3. semantic-kit: A toolkit to estimate semantic similarity and relatedness between words/sentences

  4. umls-similarity: Estimate similarity of medical concepts based on Unified Medical Language System (UMLS)

  5. Catla-HS: A self-tuning system for MapReduce performance tuning on Hadoop and Spark

  6. umls-graph: Build a medical knowledge graph based on Unified Language Medical System (UMLS)

  7. quick-crawler: A toolkit for quickly performing crawler functions

  8. ICD11-CAC: Computer-assisted coding of ICD-11 based on semantics

  9. LightLogo: A lightweight Logo-based agent-based simulation toolkit

  10. MedSim3D: A general programmable platform for 3D modeling and simulation in medical education.

A full list of my leading GitHub projects can be found here.