Jiancheng Ye

1.5k total citations
52 papers, 792 citations indexed

About

Jiancheng Ye is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jiancheng Ye has authored 52 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 8 papers in Health Information Management and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jiancheng Ye's work include Mobile Health and mHealth Applications (6 papers), Health Policy Implementation Science (5 papers) and Machine Learning in Healthcare (5 papers). Jiancheng Ye is often cited by papers focused on Mobile Health and mHealth Applications (6 papers), Health Policy Implementation Science (5 papers) and Machine Learning in Healthcare (5 papers). Jiancheng Ye collaborates with scholars based in United States, China and Australia. Jiancheng Ye's co-authors include Molly Beestrum, Lu He, Jiahong Shen, Liang Yao, Yuan Luo, Theresa L. Walunas, Abel Kho, L. Nelson Sanchez‐Pinto, Nicholas D. Soulakis and Zidan Wang and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Jiancheng Ye

47 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiancheng Ye United States 16 249 114 114 92 86 52 792
Thomas R. Campion United States 19 187 0.8× 301 2.6× 143 1.3× 84 0.9× 132 1.5× 64 988
Marjan Ghazisaeedi Iran 18 256 1.0× 108 0.9× 114 1.0× 57 0.6× 105 1.2× 85 1.0k
Brian W. Patterson United States 17 153 0.6× 156 1.4× 115 1.0× 32 0.3× 84 1.0× 90 935
Barbara Barry United States 17 182 0.7× 101 0.9× 211 1.9× 63 0.7× 185 2.2× 53 1.2k
Yiye Zhang United States 15 80 0.3× 127 1.1× 180 1.6× 98 1.1× 183 2.1× 67 983
Meghan Reading Turchioe United States 16 454 1.8× 62 0.5× 138 1.2× 70 0.8× 74 0.9× 74 953
Mostafa Langarizadeh Iran 16 253 1.0× 130 1.1× 307 2.7× 132 1.4× 119 1.4× 99 1.0k
Sonoo Thadaney Israni United States 9 227 0.9× 72 0.6× 191 1.7× 50 0.5× 109 1.3× 16 737
Koren Hyogene Kwag Italy 10 281 1.1× 280 2.5× 255 2.2× 48 0.5× 71 0.8× 17 963
Judith W. Dexheimer United States 18 251 1.0× 179 1.6× 195 1.7× 55 0.6× 149 1.7× 75 1.0k

Countries citing papers authored by Jiancheng Ye

Since Specialization
Citations

This map shows the geographic impact of Jiancheng Ye'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 Jiancheng Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiancheng Ye more than expected).

Fields of papers citing papers by Jiancheng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiancheng Ye. 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 Jiancheng Ye. The network helps show where Jiancheng Ye may publish in the future.

Co-authorship network of co-authors of Jiancheng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Jiancheng Ye. A scholar is included among the top collaborators of Jiancheng Ye 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 Jiancheng Ye. Jiancheng Ye 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.
Ye, Jiancheng, et al.. (2026). The collaborations among healthcare systems, research institutions, and industry on artificial intelligence research and development. Frontiers in Artificial Intelligence. 8. 1694145–1694145.
2.
Ye, Jiancheng, et al.. (2025). Using shared clinical decision support to reduce adverse drug events and improve patient safety. Frontiers in Digital Health. 7. 1703141–1703141.
3.
Ye, Jiancheng, et al.. (2025). Machine learning-based mortality prediction in critically ill patients with hypertension: comparative analysis, fairness, and interpretability. Frontiers in Artificial Intelligence. 8. 1686378–1686378. 1 indexed citations
4.
Sanuade, Olutobi Adekunle, Allison J. Carroll, Jiancheng Ye, et al.. (2025). Contextual factors and implementation strategies for a multi-level community-based sodium reduction intervention in Chicago’s South Side: a qualitative study. International Journal of Behavioral Nutrition and Physical Activity. 22(1). 93–93. 1 indexed citations
5.
Ye, Jiancheng, Lisa R. Hirschhorn, Abigail S. Baldridge, et al.. (2025). Implementation outcomes from the Hypertension Treatment in Nigeria program: results from a type 2 hybrid interrupted time series trial. Implementation Science. 21(1). 1–1.
6.
Ye, Jiancheng, et al.. (2025). Artificial Intelligence in Anesthesiology Drug Administration. Anesthesiology Clinics. 43(3). 431–451. 2 indexed citations
7.
Ding, Sirui, et al.. (2024). Distilling the knowledge from large-language model for health event prediction. Scientific Reports. 14(1). 30675–30675. 6 indexed citations
10.
Ye, Jiancheng, Olutobi Adekunle Sanuade, Lisa R. Hirschhorn, et al.. (2024). Interventions and contextual factors to improve retention in care for patients with hypertension in primary care: Hermeneutic systematic review. Preventive Medicine. 180. 107880–107880. 7 indexed citations
11.
Shi, Yue, Jianpeng Zhang, Zheng Lu, et al.. (2024). Inactivation effect and kinetic analysis of multi-band ultraviolet LED combined with Ag/N modified magnetic TiO2 on microorganisms in ballast water. Journal of Water Process Engineering. 58. 104751–104751. 2 indexed citations
12.
Agarwal, Anubha, Tyler Jacobson, Nilay S. Shah, et al.. (2024). Fixed-dose combination therapy for the prevention of atherosclerotic cardiovascular disease. Nature Medicine. 30(4). 1199–1209. 17 indexed citations
13.
Ye, Jiancheng, et al.. (2023). Leveraging natural language processing and geospatial time series model to analyze COVID-19 vaccination sentiment dynamics on Tweets. JAMIA Open. 6(2). ooad023–ooad023. 16 indexed citations
14.
Ye, Jiancheng, et al.. (2023). The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review. JMIR Medical Informatics. 11. e47052–e47052. 8 indexed citations
16.
18.
Ye, Jiancheng. (2020). Pediatric Mental and Behavioral Health in the Period of Quarantine and Social Distancing With COVID-19. JMIR Pediatrics and Parenting. 3(2). e19867–e19867. 90 indexed citations
19.
Ye, Jiancheng, et al.. (2020). Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes. BMC Medical Informatics and Decision Making. 20(S11). 295–295. 72 indexed citations
20.
Zhang, Junqi, Rongxin Fu, Liping Xie, et al.. (2015). A smart device for label-free and real-time detection of gene point mutations based on the high dark phase contrast of vapor condensation. Lab on a Chip. 15(19). 3891–3896. 12 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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