Yilin Ning

1.6k total citations · 1 hit paper
58 papers, 822 citations indexed

About

Yilin Ning is a scholar working on Artificial Intelligence, Health Informatics and Epidemiology. According to data from OpenAlex, Yilin Ning has authored 58 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Health Informatics and 8 papers in Epidemiology. Recurrent topics in Yilin Ning's work include Machine Learning in Healthcare (16 papers), Artificial Intelligence in Healthcare and Education (13 papers) and Explainable Artificial Intelligence (XAI) (9 papers). Yilin Ning is often cited by papers focused on Machine Learning in Healthcare (16 papers), Artificial Intelligence in Healthcare and Education (13 papers) and Explainable Artificial Intelligence (XAI) (9 papers). Yilin Ning collaborates with scholars based in Singapore, United States and China. Yilin Ning's co-authors include Nan Liu, Marcus Eng Hock Ong, Bibhas Chakraborty, Daniel Shu Wei Ting, Feng Xie, Han Yuan, Benjamin A. Goldstein, R. S. Vaughan, Seyed Ehsan Saffari and Chuen Seng Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Energy.

In The Last Decade

Yilin Ning

52 papers receiving 802 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist

2024 64 citations Yilin Ning, Mayli Mertens et al. The Lancet Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yilin Ning Singapore	17	230	150	117	104	89	58	822
Chung‐Feng Liu Taiwan	14	117 0.5×	143 1.0×	82 0.7×	88 0.8×	62 0.7×	44	475
Prem Timsina United States	13	193 0.8×	93 0.6×	92 0.8×	138 1.3×	99 1.1×	32	832
Bilal A. Mateen United Kingdom	14	137 0.6×	162 1.1×	122 1.0×	111 1.1×	56 0.6×	42	905
Nhan Do United States	18	207 0.9×	88 0.6×	86 0.7×	201 1.9×	100 1.1×	85	1.2k
Marshall Nichols United States	14	201 0.9×	155 1.0×	186 1.6×	69 0.7×	79 0.9×	24	715
Steven W J Nijman Netherlands	9	304 1.3×	276 1.8×	118 1.0×	157 1.5×	107 1.2×	10	890
Yiye Zhang United States	15	183 0.8×	91 0.6×	96 0.8×	55 0.5×	127 1.4×	67	983
Martin Seneviratne United States	13	237 1.0×	131 0.9×	66 0.6×	63 0.6×	104 1.2×	26	690
Ilse Kant Netherlands	16	168 0.7×	196 1.3×	77 0.7×	152 1.5×	98 1.1×	32	819
Evan Sholle United States	15	135 0.6×	50 0.3×	85 0.7×	47 0.5×	105 1.2×	40	543

Countries citing papers authored by Yilin Ning

Since Specialization

Citations

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

Fields of papers citing papers by Yilin Ning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilin Ning

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

All Works

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20 of 20 papers shown

Ning, Yilin, Chuan Hong, Danielle S. Bitterman, et al.. (2025). Retrieval-augmented generation for generative artificial intelligence in health care. 2(1). 16 indexed citations

Ning, Yilin, Jasmine Chiat Ling Ong, Haibo Wang, et al.. (2025). How can artificial intelligence transform the training of medical students and physicians?. The Lancet Digital Health. 7(10). 100900–100900. 1 indexed citations

Wang, Tao, et al.. (2025). Fault diagnosis of electric ship propulsion motor based on modified secondary decomposition and DE-BCECAN under strong noise background. Ocean Engineering. 331. 121264–121264. 3 indexed citations

Song, Enzhe, et al.. (2025). Generalized zero-shot bearing compound fault diagnosis based on reserved gate pre-classifier and physical information semantics. Structural Health Monitoring.

Song, Enzhe, et al.. (2025). Simulation study on diesel-ignited ammonia/hydrogen mixture fuel combustion on engine combustion and emission performance. Journal of Marine Engineering & Technology. 24(5). 432–443.

Yang, Rui, et al.. (2024). Disparities in clinical studies of AI enabled applications from a global perspective. npj Digital Medicine. 7(1). 209–209. 8 indexed citations

Ning, Yilin, Siqi Li, Yih Yng Ng, et al.. (2024). Variable importance analysis with interpretable machine learning for fair risk prediction. PLOS Digital Health. 3(7). e0000542–e0000542. 4 indexed citations

Okada, Yohei, Joel Aik, Andrew Fu Wah Ho, Yilin Ning, & Marcus Eng Hock Ong. (2024). Heat-related illness in Singapore: Descriptive analysis of a tertiary care center from 2008 to 2020. SHILAP Revista de lepidopterología. 33. 2 indexed citations

Yuan, Han, et al.. (2024). A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analyses. BMC Medical Research Methodology. 24(1). 305–305. 5 indexed citations

10.

Ke, Yuhe, Rui Yang, Sui An Lie, et al.. (2024). Mitigating Cognitive Biases in Clinical Decision-Making Through Multi-Agent Conversations Using Large Language Models: Simulation Study. Journal of Medical Internet Research. 26. e59439–e59439. 20 indexed citations

11.

Deng, Xiao, Yilin Ning, Seyed Ehsan Saffari, et al.. (2023). Identifying clinical features and blood biomarkers associated with mild cognitive impairment in Parkinson disease using machine learning. European Journal of Neurology. 30(6). 1658–1666. 11 indexed citations

12.

Okada, Yohei, Yilin Ning, & Marcus Eng Hock Ong. (2023). Explainable artificial intelligence in emergency medicine: an overview. Clinical and Experimental Emergency Medicine. 10(4). 354–362. 20 indexed citations

13.

Li, Siqi, Yilin Ning, Marcus Eng Hock Ong, et al.. (2023). FedScore: A privacy-preserving framework for federated scoring system development. Journal of Biomedical Informatics. 146. 104485–104485. 6 indexed citations

14.

Ning, Yilin, Mayli Mertens, Jie Xu, et al.. (2023). A translational perspective towards clinical AI fairness. npj Digital Medicine. 6(1). 41 indexed citations

15.

Song, Enzhe, et al.. (2022). Multiscale Bidirectional Diversity Entropy for Diesel Injector Fault-Type Diagnosis and Fault Degree Diagnosis. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 18 indexed citations

16.

Ning, Yilin, Siqi Li, Marcus Eng Hock Ong, et al.. (2022). A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study. SHILAP Revista de lepidopterología. 1(6). e0000062–e0000062. 22 indexed citations

17.

Liu, Nan, Xinru Chen, Yilin Ning, et al.. (2022). Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine learning: A retrospective study. EClinicalMedicine. 48. 101422–101422. 29 indexed citations

18.

Yuan, Han, Feng Xie, Marcus Eng Hock Ong, et al.. (2022). AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. Journal of Biomedical Informatics. 129. 104072–104072. 14 indexed citations

19.

Xie, Feng, Han Yuan, Yilin Ning, et al.. (2021). Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. Journal of Biomedical Informatics. 126. 103980–103980. 73 indexed citations

20.

Ning, Yilin. (2013). Combined Acupotomy and Traditional Chinese Manipulation for Treating Knee Osteoarthritis. 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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