Jingcheng Du

2.9k total citations · 1 hit paper
63 papers, 1.5k citations indexed

About

Jingcheng Du is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Jingcheng Du has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 20 papers in Molecular Biology and 18 papers in Epidemiology. Recurrent topics in Jingcheng Du's work include Biomedical Text Mining and Ontologies (18 papers), Machine Learning in Healthcare (14 papers) and Topic Modeling (10 papers). Jingcheng Du is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Machine Learning in Healthcare (14 papers) and Topic Modeling (10 papers). Jingcheng Du collaborates with scholars based in United States, China and Taiwan. Jingcheng Du's co-authors include Cui Tao, Hua Xu, Qiang Wei, Yuqi Si, Jun Xu, Kirk Roberts, Yang Xiang, Stephen Wu, Zongcheng Ji and Yaoyun Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Jingcheng Du

59 papers receiving 1.4k citations

Hit Papers

Deep learning in clinical natural language processing: a ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jingcheng Du United States 19 729 414 174 171 169 63 1.5k
Trevor Cohen United States 27 904 1.2× 778 1.9× 95 0.5× 130 0.8× 67 0.4× 141 2.6k
Eiji Aramaki Japan 19 694 1.0× 306 0.7× 66 0.4× 278 1.6× 274 1.6× 153 1.6k
Angus Roberts United Kingdom 23 1.2k 1.7× 794 1.9× 58 0.3× 72 0.4× 146 0.9× 89 2.4k
Fernando Martín-Sánchez Spain 22 274 0.4× 523 1.3× 194 1.1× 193 1.1× 134 0.8× 103 2.1k
Ramakanth Kavuluru United States 21 803 1.1× 443 1.1× 54 0.3× 83 0.5× 74 0.4× 72 1.4k
Abeed Sarker United States 27 1.4k 1.9× 746 1.8× 216 1.2× 439 2.6× 406 2.4× 123 3.0k
Rui Zhang United States 20 691 0.9× 488 1.2× 39 0.2× 71 0.4× 89 0.5× 144 1.7k
Kirk Roberts United States 29 1.9k 2.6× 1.0k 2.5× 54 0.3× 75 0.4× 130 0.8× 136 3.0k
François Modave United States 22 285 0.4× 133 0.3× 64 0.4× 104 0.6× 105 0.6× 88 1.5k
Brett R. South United States 21 1.6k 2.2× 1.2k 2.9× 46 0.3× 66 0.4× 143 0.8× 54 2.3k

Countries citing papers authored by Jingcheng Du

Since Specialization
Citations

This map shows the geographic impact of Jingcheng Du's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jingcheng Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingcheng Du more than expected).

Fields of papers citing papers by Jingcheng Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingcheng Du. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jingcheng Du. The network helps show where Jingcheng Du may publish in the future.

Co-authorship network of co-authors of Jingcheng Du

This figure shows the co-authorship network connecting the top 25 collaborators of Jingcheng Du. A scholar is included among the top collaborators of Jingcheng Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingcheng Du. Jingcheng Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Qian, Pengjia Dou, Jingcheng Du, et al.. (2025). Biomimetic KcsA channels enabled by 1D MOF-in-2D COF. Nature Communications. 16(1). 9099–9099.
2.
Du, Jingcheng, et al.. (2025). Finely tailoring microstructure of hyperbranched polyimide membrane for facile natural gas upgrading. Journal of Membrane Science. 720. 123729–123729. 3 indexed citations
3.
Wen, He, Ji Ma, Jingcheng Du, et al.. (2025). Membranes with hollow bowl-shaped window for CO2 removal from natural gas. SHILAP Revista de lepidopterología. 5. 100129–100129. 2 indexed citations
4.
Du, Jingcheng, Linghao Liu, Qian Sun, et al.. (2024). Heterocycles for direct air capture and MOFs prepared from CO2 utilization. Journal of Materials Chemistry A. 12(13). 7711–7723. 11 indexed citations
5.
Huang, Liang‐Chin, Amanda L Eiden, Frank J. Manion, et al.. (2024). Natural Language Processing–Powered Real-Time Monitoring Solution for Vaccine Sentiments and Hesitancy on Social Media: System Development and Validation. JMIR Medical Informatics. 12. e57164–e57164. 1 indexed citations
7.
Plasek, Joseph M., Ya‐Wen Chuang, Liqin Wang, et al.. (2024). Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes. EBioMedicine. 109. 105401–105401. 15 indexed citations
8.
Zhang, Meng, Jingcheng Du, Yang Xiang, et al.. (2023). Machine learning-based donor permission extraction from informed consent documents. BMC Bioinformatics. 24(S3). 477–477. 3 indexed citations
9.
Datta, Surabhi, Frank J. Manion, Jingcheng Du, et al.. (2023). AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models. Journal of the American Medical Informatics Association. 31(2). 375–385. 31 indexed citations
10.
Hu, Xinyue, Rui Zhang, Jingcheng Du, et al.. (2022). Mining on Alzheimer’s diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing. BMC Bioinformatics. 23(S6). 407–407. 17 indexed citations
11.
Du, Jingcheng, Hanxiao Sun, Ross Shegog, et al.. (2021). Using Machine Learning–Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions. Journal of Medical Internet Research. 23(8). e26478–e26478. 20 indexed citations
12.
Hu, Baotian, Yang Xiang, Xiaolong Wang, et al.. (2021). A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation. JMIR Medical Informatics. 9(12). e32698–e32698. 10 indexed citations
13.
Xiang, Yang, Jingcheng Du, Kayo Fujimoto, et al.. (2021). Application of artificial intelligence and machine learning for HIV prevention interventions. The Lancet HIV. 9(1). e54–e62. 31 indexed citations
14.
Si, Yuqi, Jingcheng Du, Li Zhao, et al.. (2020). Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. Journal of Biomedical Informatics. 115. 103671–103671. 123 indexed citations
15.
Chen, Qingyu, Jingcheng Du, Sun Kim, W. John Wilbur, & Zhiyong Lu. (2020). Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records. BMC Medical Informatics and Decision Making. 20(S1). 73–73. 15 indexed citations
16.
Du, Jingcheng, Rachel Cunningham, Yang Xiang, et al.. (2019). Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media. npj Digital Medicine. 2(1). 27–27. 22 indexed citations
17.
Du, Jingcheng, et al.. (2017). Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets. Journal of Biomedical Semantics. 8(1). 9–9. 65 indexed citations
18.
Du, Jingcheng, et al.. (2017). Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data. BMC Medical Informatics and Decision Making. 17(S2). 69–69. 72 indexed citations
19.
Du, Jingcheng, et al.. (2016). Nondestructive determination of starch content in tobacco seeds by near infrared spectroscopy. Tobacco Science & Technology.
20.
Zhang, Yaoyun, Jingcheng Du, Jun Xu, et al.. (2016). Extracting drug-enzyme relation from literature as evidence for drug drug interaction. Journal of Biomedical Semantics. 7(1). 11–11. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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