Jingcheng Du
Publications by Year
Research Areas
Biomedical Text Mining and Ontologies, Machine Learning in Healthcare, Topic Modeling, Vaccine Coverage and Hesitancy, Influenza Virus Research Studies
Most-Cited Works
- → Deep learning in clinical natural language processing: a methodical review(2019)466 cited
- → Improving large language models for clinical named entity recognition via prompt engineering(2024)255 cited
- → Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review(2020)227 cited
- → Gene2vec: distributed representation of genes based on co-expression(2019)190 cited
- → Extracting psychiatric stressors for suicide from social media using deep learning(2018)166 cited
- → ML-Net: multi-label classification of biomedical texts with deep neural networks(2019)140 cited
- → A study of deep learning approaches for medication and adverse drug event extraction from clinical text(2019)127 cited
- → Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets(2017)110 cited
- → Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data(2017)108 cited
- → Benchmarking large language models for biomedical natural language processing applications and recommendations(2025)90 cited