Yizhao Ni

3.0k total citations
78 papers, 1.3k citations indexed

About

Yizhao Ni is a scholar working on Health Information Management, Artificial Intelligence and Emergency Medical Services. According to data from OpenAlex, Yizhao Ni has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health Information Management, 12 papers in Artificial Intelligence and 11 papers in Emergency Medical Services. Recurrent topics in Yizhao Ni's work include Electronic Health Records Systems (13 papers), Music Technology and Sound Studies (6 papers) and Natural Language Processing Techniques (6 papers). Yizhao Ni is often cited by papers focused on Electronic Health Records Systems (13 papers), Music Technology and Sound Studies (6 papers) and Natural Language Processing Techniques (6 papers). Yizhao Ni collaborates with scholars based in United States, United Kingdom and China. Yizhao Ni's co-authors include Todd Lingren, Imre Solti, Qunfeng Yue, Tijl De Bie, Raúl Santos‐Rodríguez, Matt McVicar, Haijun Zhai, Megan Kaiser, Qi Li and Judith W. Dexheimer and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yizhao Ni

73 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yizhao Ni United States 21 257 240 160 129 119 78 1.3k
Jiajie Zhang China 17 89 0.3× 168 0.7× 232 1.4× 73 0.6× 10 0.1× 87 1.4k
David B. Olawade United Kingdom 19 88 0.3× 105 0.4× 80 0.5× 122 0.9× 6 0.1× 146 1.4k
Qian Fu China 26 177 0.7× 155 0.6× 21 0.1× 178 1.4× 24 0.2× 169 1.9k
Mahnaz Ahmadi Iran 14 90 0.4× 71 0.3× 32 0.2× 22 0.2× 12 0.1× 52 868
Kyung‐Hee Kim South Korea 32 205 0.8× 297 1.2× 197 1.2× 77 0.6× 5 0.0× 151 2.7k
Faruk Ahmed Australia 30 63 0.2× 142 0.6× 32 0.2× 571 4.4× 30 0.3× 115 2.5k
Kang Hyun Lee South Korea 26 29 0.1× 282 1.2× 17 0.1× 126 1.0× 16 0.1× 190 2.1k
Hadi Raeisi Shahraki Iran 16 83 0.3× 111 0.5× 23 0.1× 122 0.9× 3 0.0× 145 1.0k
Yuxi Li China 18 164 0.6× 112 0.5× 23 0.1× 59 0.5× 6 0.1× 111 962
Xin Zuo China 17 31 0.1× 259 1.1× 15 0.1× 148 1.1× 8 0.1× 72 1.3k

Countries citing papers authored by Yizhao Ni

Since Specialization
Citations

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

Fields of papers citing papers by Yizhao Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yizhao Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Yizhao Ni. A scholar is included among the top collaborators of Yizhao Ni 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 Yizhao Ni. Yizhao Ni 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.
Ni, Yizhao, et al.. (2025). Finite element model updating of existing bridge structures based on measured data and deep learning method. Structures. 79. 109403–109403. 1 indexed citations
2.
Ni, Yizhao, Tianyi Yan, Kai Fu, et al.. (2024). Enhancement of physicochemical and techno-functional properties of soy protein isolate amyloid fibrils by moderate ultrasonic pretreatment. Ultrasonics Sonochemistry. 112. 107157–107157. 15 indexed citations
3.
4.
Ni, Yizhao, Yan Zhang, Hui Tian, et al.. (2023). EP07.02-01 Evaluation of the Efficacy of Oral Bacterial Lysates in Patients with High-risk Lung Nodules Detected by CT Screening. Journal of Thoracic Oncology. 18(11). S523–S523. 1 indexed citations
5.
Ehrlich, Daniel J., Eleni‐Rosalina Andrinopoulou, Ruth H. Keogh, et al.. (2023). Social-environmental phenotypes of rapid cystic fibrosis lung disease progression in adolescents and young adults living in the United States. Environmental Advances. 14. 100449–100449. 1 indexed citations
6.
Brokamp, Cole, Eleni‐Rosalina Andrinopoulou, Judith W. Dexheimer, et al.. (2023). Built environment factors predictive of early rapid lung function decline in cystic fibrosis. Pediatric Pulmonology. 58(5). 1501–1513. 5 indexed citations
7.
Ni, Yizhao, Amy F. Bailes, Jilda Vargus‐Adams, et al.. (2022). Gross motor function prediction using natural language processing in cerebral palsy. Developmental Medicine & Child Neurology. 65(1). 100–106. 2 indexed citations
8.
Wissel, Benjamin D., Yizhao Ni, Nathan M. Pajor, et al.. (2022). Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study. JMIR Medical Informatics. 10(12). e37833–e37833. 17 indexed citations
9.
Li, Guangyuan, et al.. (2021). DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity. Briefings in Bioinformatics. 22(6). 87 indexed citations
10.
Ni, Yizhao, et al.. (2021). Understanding Pediatric Surgery Cancellation: Geospatial Analysis. Journal of Medical Internet Research. 23(9). e26231–e26231. 13 indexed citations
11.
Brokamp, Cole, Rui Huang, Eleni‐Rosalina Andrinopoulou, et al.. (2021). Seasonality, mediation and comparison (SMAC) methods to identify influences on lung function decline. MethodsX. 8. 101313–101313. 1 indexed citations
12.
Wang, Chen, Atlas Khan, Ning Shang, et al.. (2021). Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. npj Digital Medicine. 4(1). 116–116. 10 indexed citations
13.
Qiu, Tingting, Yin Zhang, Yizhao Ni, et al.. (2021). External validation and comparison of risk score models in pediatric heart transplants. Pediatric Transplantation. 26(3). e14204–e14204. 2 indexed citations
14.
Kirkendall, Eric S., et al.. (2020). The Generalizability of a Medication Administration Discrepancy Detection System: Quantitative Comparative Analysis. JMIR Medical Informatics. 8(12). e22031–e22031. 3 indexed citations
15.
Ni, Yizhao, Todd Lingren, Hannah Huth, et al.. (2020). Integrating and Evaluating the Data Quality and Utility of Smart Pump Information in Detecting Medication Administration Errors: Evaluation Study. JMIR Medical Informatics. 8(9). e19774–e19774. 8 indexed citations
16.
Ni, Yizhao, et al.. (2019). Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children’s surgery. International Journal of Medical Informatics. 129. 234–241. 16 indexed citations
17.
Ni, Yizhao, et al.. (2019). A Real-Time Automated Patient Screening System for Clinical Trials Eligibility in an Emergency Department: Design and Evaluation. JMIR Medical Informatics. 7(3). e14185–e14185. 35 indexed citations
18.
Kirkendall, Eric S., et al.. (2019). Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support. Journal of Medical Internet Research. 21(5). e13047–e13047. 12 indexed citations
19.
Ni, Yizhao, Kathleen Alwell, Charles J. Moomaw, et al.. (2018). Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis. PLoS ONE. 13(2). e0192586–e0192586. 20 indexed citations
20.
Ni, Yizhao, Craig Saunders, Sándor Szedmák, & Mahesan Niranjan. (2011). Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. Journal of Machine Learning Research. 12(1). 1–30. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jiajie Zhang Breakdown of academic impact, for papers by David B. Olawade Breakdown of academic impact, for papers by Qian Fu Breakdown of academic impact, for papers by Mahnaz Ahmadi Breakdown of academic impact, for papers by Kyung‐Hee Kim Breakdown of academic impact, for papers by Faruk Ahmed Breakdown of academic impact, for papers by Kang Hyun Lee Breakdown of academic impact, for papers by Hadi Raeisi Shahraki Breakdown of academic impact, for papers by Yuxi Li Breakdown of academic impact, for papers by Xin Zuo
Rankless by CCL
2026