Nina Zhou

1.5k total citations
34 papers, 533 citations indexed

About

Nina Zhou is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Nina Zhou has authored 34 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Nina Zhou's work include Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (3 papers) and Advanced Causal Inference Techniques (3 papers). Nina Zhou is often cited by papers focused on Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (3 papers) and Advanced Causal Inference Techniques (3 papers). Nina Zhou collaborates with scholars based in United States, China and Singapore. Nina Zhou's co-authors include Lipo Wang, Feng Chu, Sandra Weıntraub, Amani A. Fawzi, Yi Stephanie Zhang, Ivo D. Dinov, Simeone Marino, Paul T. Manser, Robert D. Brook and Lu Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biometrics.

In The Last Decade

Nina Zhou

34 papers receiving 519 citations

Peers

Nina Zhou

RNMI

OPHTH

CVPR

Ahmed Shalaby United States

Hua Ye China

Silvia Seoni Italy

Sebastian Pölsterl Germany

Vajira Thambawita Norway

Kyle Hasenstab United States

Dehan Kong Canada

Iñaki Soto‐Rey Germany

Malek Hammou Norway

Ahmed Shalaby United States

Nina Zhou

256 ×2.1

673 ×5.6

RNMI

78 ×0.8

259 ×2.7

OPHTH

288 ×4.1

CVPR

Citations per year, relative to Nina Zhou Nina Zhou (= 1×) peers Ahmed Shalaby

Countries citing papers authored by Nina Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Nina Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Zhou. A scholar is included among the top collaborators of Nina Zhou 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 Nina Zhou. Nina Zhou 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

Zhou, Nina, Zhen Wang, Wei Zhao, et al.. (2024). Higher homocysteine and fibrinogen are associated with early-onset post-stroke depression in patients with acute ischemic stroke. Frontiers in Psychiatry. 15. 1371578–1371578. 5 indexed citations

Hu, Jue, Hui Xiao, Nina Zhou, et al.. (2024). Association of higher triglyceride–glucose index and triglyceride-to-high-density lipoprotein cholesterol ratio with early neurological deterioration after thrombolysis in acute ischemic stroke patients. Frontiers in Neurology. 15. 1421655–1421655. 3 indexed citations

Zhou, Nina, et al.. (2023). Triple feature extraction method based on multi-scale dispersion entropy and multi-scale permutation entropy in sound-based fault diagnosis. Frontiers in Physics. 11. 4 indexed citations

Zhou, Nina, et al.. (2022). DataSifterText: Partially Synthetic Text Generation for Sensitive Clinical Notes. Journal of Medical Systems. 46(12). 96–96. 6 indexed citations

Zhou, Nina, et al.. (2022). Estimating Tree-Based Dynamic Treatment Regimes Using Observational Data with Restricted Treatment Sequences. Biometrics. 79(3). 2260–2271. 3 indexed citations

Zhou, Nina, et al.. (2021). An Analysis of the Impact of Timing and Technique on Outcomes after Surgery for Distal Radius Fractures: The Wrist and Radius Injury Surgical Trial Collaborative Study. Plastic & Reconstructive Surgery. 148(5). 1053–1062. 12 indexed citations

Blair, Neal E., E. Arthur Bettis, T. R. Filley, et al.. (2021). The Spatiotemporal Evolution of Storm Pulse Particulate Organic Carbon in a Low Gradient, Agriculturally Dominated Watershed. Frontiers in Water. 3. 3 indexed citations

Marino, Simeone, Nina Zhou, Yiwang Zhou, et al.. (2020). Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets. PLoS ONE. 15(8). e0228520–e0228520. 6 indexed citations

Bard, Robert L., Melvyn Rubenfire, Joseph M. Bryant, et al.. (2020). Reduced Fine Particulate Matter Air Pollution Exposures Using In-Home Portable Air Cleaners. Journal of Cardiopulmonary Rehabilitation and Prevention. 40(4). 276–279. 5 indexed citations

10.

Zhou, Nina, et al.. (2020). Pre-injury activity predicts outcomes following distal radius fractures in patients age 60 and older. PLoS ONE. 15(5). e0232684–e0232684. 10 indexed citations

11.

Zhou, Nina & Paul T. Manser. (2020). Does including machine learning predictions in ALS clinical trial analysis improve statistical power?. Annals of Clinical and Translational Neurology. 7(10). 1756–1765. 11 indexed citations

12.

Zhou, Yiwang, Lu Zhao, Nina Zhou, et al.. (2019). Predictive Big Data Analytics using the UK Biobank Data. Scientific Reports. 9(1). 6012–6012. 18 indexed citations

13.

Zhang, Yi Stephanie, et al.. (2019). Parafoveal vessel loss and correlation between peripapillary vessel density and cognitive performance in amnestic mild cognitive impairment and early Alzheimer’s Disease on optical coherence tomography angiography. PLoS ONE. 14(4). e0214685–e0214685. 94 indexed citations

14.

Zhou, Nina, et al.. (2018). Patient Preference Study on Treatments of Non Small Cell Lung Cancer in Western China. Value in Health. 21. S9–S9. 2 indexed citations

15.

Marino, Simeone, et al.. (2018). Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies. PLoS ONE. 13(8). e0202674–e0202674. 7 indexed citations

16.

Wang, Xuejuan, Melissa B. Aldrich, Zhi Yang, et al.. (2016). Influence of chelator and near-infrared dye labeling on biocharacteristics of dual-labeled trastuzumab-based imaging agents. Chinese Journal of Cancer Research. 28(3). 362–369. 1 indexed citations

17.

Zhou, Nina, et al.. (2009). Enhanced Class-Dependent Classification of Audio Signals. 14. 100–104. 3 indexed citations

18.

Zhou, Nina & Lipo Wang. (2007). Effective selection of informative SNPs and classification on the HapMap genotype data. BMC Bioinformatics. 8(1). 484–484. 41 indexed citations

19.

Zhou, Nina & Lipo Wang. (2007). A Modified T-Test Feature Selection Method and Its Application on the HapMap Genotype Data. Genomics Proteomics & Bioinformatics. 5(3-4). 242–249. 89 indexed citations

20.

Wang, Lipo, et al.. (2005). Optimal Size of a Feedforward Neural Network: How Much does it Matter?. 69–69. 13 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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