Chao Yan

1.5k total citations
76 papers, 878 citations indexed

About

Chao Yan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Chao Yan has authored 76 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 17 papers in Electrical and Electronic Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Chao Yan's work include Machine Learning in Healthcare (14 papers), Power System Reliability and Maintenance (9 papers) and Optimal Power Flow Distribution (8 papers). Chao Yan is often cited by papers focused on Machine Learning in Healthcare (14 papers), Power System Reliability and Maintenance (9 papers) and Optimal Power Flow Distribution (8 papers). Chao Yan collaborates with scholars based in United States, China and Hong Kong. Chao Yan's co-authors include Bradley Malin, Zhaohong Bie, You Chen, Xinmeng Zhang, Cheng Gao, Ziqi Zhang, Jimeng Sun, Gengfeng Li, Tao Ding and Felix T.S. Chan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Chao Yan

70 papers receiving 858 citations

Peers

Chao Yan

EEE

CSE

HIM

SRRQ

Sławomir Nowaczyk Sweden

Wenbing Chang China

Abir Hussain United Kingdom

Rodrigo Silva Brazil

Saima Sadiq Pakistan

Zlatan Car Croatia

Ivan Lorencin Croatia

Ramon Gomes da Silva Brazil

Mohammed Hashim Malaysia

Sławomir Nowaczyk Sweden

Chao Yan

402 ×1.3

156 ×0.7

EEE

245 ×2.3

CSE

67 ×0.7

HIM

88 ×1.1

SRRQ

Citations per year, relative to Chao Yan Chao Yan (= 1×) peers Sławomir Nowaczyk

Countries citing papers authored by Chao Yan

Since Specialization

Citations

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

Fields of papers citing papers by Chao Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Yan. A scholar is included among the top collaborators of Chao Yan 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 Chao Yan. Chao Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Were, Martin C., Ang Li, Bradley Malin, et al.. (2025). Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health. Journal of Medical Internet Research. 27. e73996–e73996. 1 indexed citations

Zhou, Han‐yu, et al.. (2025). Joint effect of emotion regulation and impulsivity on identifying adolescents with non-suicidal self-injury. Journal of Psychiatric Research. 192. 49–58.

Yan, Chao, Zhuohang Li, You Chen, et al.. (2025). Large language models are less effective at clinical prediction tasks than locally trained machine learning models. Journal of the American Medical Informatics Association. 32(5). 811–822. 5 indexed citations

Liu, Yuliang, Junfa Yin, Chong Liu, et al.. (2025). Unexpected Gas-Phase Formation of Glycolic Acid Sulfate in the Atmosphere. Environmental Science & Technology. 59(31). 16556–16566. 1 indexed citations

Yan, Chao, Alyson L. Dickson, Peter J. Embí, et al.. (2025). Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records. Journal of the American Medical Informatics Association. 32(6). 1007–1014. 1 indexed citations

Yan, Chao, Alyson L. Dickson, Bingshan Li, et al.. (2024). Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation. npj Digital Medicine. 7(1). 46–46. 29 indexed citations

Li, Shengxiang, et al.. (2024). A Fine-Grained Image Classification Model Based on Hybrid Attention and Pyramidal Convolution. Tsinghua Science & Technology. 30(3). 1283–1293. 2 indexed citations

Yan, Chao, et al.. (2024). Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial. PubMed. 3. e52615–e52615. 6 indexed citations

Yan, Chao, Henry H. Ong, Matthew S. Krantz, et al.. (2024). Large language models facilitate the generation of electronic health record phenotyping algorithms. Journal of the American Medical Informatics Association. 31(9). 1994–2001. 10 indexed citations

10.

Chen, Ying, et al.. (2023). Smell, taste and chemesthesis disorders in patients with the SARS-CoV-2 during Omicron variant pandemic in China. Heliyon. 9(10). e20715–e20715. 3 indexed citations

11.

Yan, Chao, Xinmeng Zhang, Yuyang Yang, et al.. (2023). Differences in Health Professionals’ Engagement With Electronic Health Records Based on Inpatient Race and Ethnicity. JAMA Network Open. 6(10). e2336383–e2336383. 10 indexed citations

12.

Yan, Chao, Xinbo Geng, Zhaohong Bie, & Le Xie. (2022). Two-stage robust energy storage planning with probabilistic guarantees: A data-driven approach. Applied Energy. 313. 118623–118623. 23 indexed citations

13.

Yan, Chao, Yao Yan, Zhiyu Wan, et al.. (2022). A Multifaceted benchmarking of synthetic electronic health record generation models. Nature Communications. 13(1). 7609–7609. 56 indexed citations

14.

Yin, Zhijun, Zhiyu Wan, Chao Yan, et al.. (2022). Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis. SHILAP Revista de lepidopterología. 2(2). e35702–e35702. 2 indexed citations

15.

Wan, Zhiyu, et al.. (2022). The Public Perception of the #GeneEditedBabies Event Across Multiple Social Media Platforms: Observational Study. Journal of Medical Internet Research. 24(3). e31687–e31687. 13 indexed citations

16.

Yan, Chao, Cheng Gao, Erin M. Wilfong, et al.. (2021). Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study. JMIR Human Factors. 8(1). e25724–e25724. 16 indexed citations

17.

Yan, Chao, et al.. (2021). Assessing Neonatal Intensive Care Unit Structures and Outcomes Before and During the COVID-19 Pandemic: Network Analysis Study. Journal of Medical Internet Research. 23(10). e27261–e27261. 6 indexed citations

18.

Zhang, Xinmeng, Chao Yan, Cheng Gao, Bradley Malin, & You Chen. (2020). Predicting Missing Values in Medical Data Via XGBoost Regression. PubMed. 4(4). 383–394. 102 indexed citations

19.

Lászka, Áron, Yevgeniy Vorobeychik, Daniel Fabbri, Chao Yan, & Bradley Malin. (2017). A Game-Theoretic Approach for Alert Prioritization. National Conference on Artificial Intelligence. 6 indexed citations

20.

Yan, Chao, Cai Gao, Jianjun Yu, Yong Deng, & Kai Nan. (2014). The Optimal Path Tour Problem.. International journal of unconventional computing. 10. 429–454. 1 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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