Xiaoyu Dong

427 total citations
31 papers, 277 citations indexed

About

Xiaoyu Dong is a scholar working on Statistics and Probability, Management Science and Operations Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xiaoyu Dong has authored 31 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 9 papers in Management Science and Operations Research and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xiaoyu Dong's work include Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (9 papers) and Computational Drug Discovery Methods (5 papers). Xiaoyu Dong is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (9 papers) and Computational Drug Discovery Methods (5 papers). Xiaoyu Dong collaborates with scholars based in United States, China and Taiwan. Xiaoyu Dong's co-authors include Yi Tsong, Meiyu Shen, Shuai He, Fangcheng Tang, Chunlei Liu, Thomas Mathew, Hsiao‐Hui Tsou, Jinglin Zhong, Xiuzhen Fan and Yilin Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Medicine and SIAM Journal on Scientific Computing.

In The Last Decade

Xiaoyu Dong

29 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyu Dong United States 10 89 44 42 38 33 31 277
Colene Bentley Canada 11 10 0.1× 46 1.0× 31 0.7× 3 0.1× 89 2.7× 19 320
Matthew A. Psioda United States 11 149 1.7× 2 0.0× 10 0.3× 48 1.5× 46 380
Weichung Joseph Shih United States 10 376 4.2× 3 0.1× 16 0.4× 120 3.6× 14 553
Jeff Griffiths United Kingdom 10 4 0.0× 35 0.8× 12 0.3× 107 3.2× 18 359
Lee Kennedy‐Shaffer United States 9 31 0.3× 2 0.0× 2 0.1× 17 0.5× 27 448
José S. Romeo New Zealand 11 72 0.8× 55 1.4× 10 0.3× 29 320
Guoxing Soon United States 11 178 2.0× 2 0.0× 9 0.2× 79 2.4× 25 388
Anuj Bhardwaj India 11 68 1.5× 182 4.3× 2 0.1× 40 1.2× 40 347
Jonas Häggström Canada 7 44 0.5× 24 0.6× 28 0.8× 8 218
Olayan Albalawi Saudi Arabia 10 97 1.1× 1 0.0× 6 0.1× 35 1.1× 80 326

Countries citing papers authored by Xiaoyu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Dong. A scholar is included among the top collaborators of Xiaoyu Dong 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 Xiaoyu Dong. Xiaoyu Dong 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.
Dong, Xiaoyu, et al.. (2024). Analysis of Influencing Factors of Pile Penetration of Jacket Platform Skirt Pile. Chemistry and Technology of Fuels and Oils. 59(6). 1264–1270.
2.
Dong, Xiaoyu, et al.. (2023). Dyadic Associations Between Burden and Depressive Symptoms Among Patients With Heart Failure and Their Caregivers. The Journal of Cardiovascular Nursing. 38(6). 517–527. 8 indexed citations
3.
Zhang, Yilin, et al.. (2023). The effects of weight management on heart failure: A systematic review and meta‐analysis of randomized controlled trials. Worldviews on Evidence-Based Nursing. 21(3). 279–287. 2 indexed citations
4.
Wang, Lyu, Xiaoyu Dong, Yan An, et al.. (2022). Relationships between job burnout, ethical climate and organizational citizenship behaviour among registered nurses: A cross‐sectional study. International Journal of Nursing Practice. 29(5). e13115–e13115. 7 indexed citations
5.
Dong, Xiaoyu, et al.. (2022). Determining Holistic Factors Related to Depressive Symptoms in Patients With Heart Failure. Clinical Nursing Research. 32(2). 359–365. 4 indexed citations
6.
Zhou, Yan, et al.. (2020). Effects of Chaihu-Shugan-San for reflux esophagitis. Medicine. 99(49). e23458–e23458. 3 indexed citations
7.
Dong, Xiaoyu, et al.. (2017). Adjustment for unbalanced sample size for analytical biosimilar equivalence assessment. Journal of Biopharmaceutical Statistics. 27(2). 220–232. 5 indexed citations
8.
Dong, Xiaoyu, et al.. (2016). Wald tests for variance-adjusted equivalence assessment with normal endpoints. Journal of Biopharmaceutical Statistics. 27(2). 308–316. 10 indexed citations
9.
Dong, Xiaoyu, Yi Tsong, Meiyu Shen, & Jinglin Zhong. (2014). Using Tolerance Intervals for Assessment of Pharmaceutical Quality. Journal of Biopharmaceutical Statistics. 25(2). 317–327. 19 indexed citations
10.
Dong, Xiaoyu, et al.. (2014). Sample Size Determination for Equivalence Assessment with Multiple Endpoints. Journal of Biopharmaceutical Statistics. 24(6). 1203–1214. 2 indexed citations
11.
Dong, Xiaoyu & Thomas Mathew. (2014). Central tolerance regions and reference regions for multivariate normal populations. Journal of Multivariate Analysis. 134. 50–60. 13 indexed citations
12.
Dong, Xiaoyu & Yi Tsong. (2014). Equivalence Assessment for Interchangeability Based on Two-Sided Tests. Journal of Biopharmaceutical Statistics. 24(6). 1312–1331. 7 indexed citations
13.
Dong, Xiaoyu, et al.. (2014). [Impacts of rotating or lifting-thrusting manipulation on distant vision of naked eye in patients of juvenile myopia: a randomized controlled trial].. PubMed. 34(5). 465–8. 2 indexed citations
14.
Shen, Meiyu, Xiaoyu Dong, & Yi Tsong. (2014). Statistical Evaluation of Several Methods for Cut-Point Determination of Immunogenicity Screening Assay. Journal of Biopharmaceutical Statistics. 25(2). 269–279. 22 indexed citations
15.
Tsong, Yi, Xiaoyu Dong, Meiyu Shen, & Richard T. Lostritto. (2014). Quality Assurance Test of Delivered Dose Uniformity of Multiple-Dose Inhaler and Dry Powder Inhaler Drug Products. Journal of Biopharmaceutical Statistics. 25(2). 328–338. 6 indexed citations
16.
Dong, Xiaoyu, Yi Tsong, & Meiyu Shen. (2014). Equivalence Tests for Interchangeability Based on Two One-Sided Probabilities. Journal of Biopharmaceutical Statistics. 24(6). 1332–1348. 10 indexed citations
17.
Shen, Meiyu, Yi Tsong, & Xiaoyu Dong. (2014). Statistical Properties of Large Sample Tests for Dose Content Uniformity. Therapeutic Innovation & Regulatory Science. 48(5). 613–622. 3 indexed citations
18.
Tsong, Yi, et al.. (2013). Comparing the Response Rates for Superiority, Noninferiority and Equivalence Testing with Multiple-to-One Matched Binary Data. Journal of Biopharmaceutical Statistics. 23(1). 98–109. 1 indexed citations
19.
Dong, Xiaoyu, Xiao Ding, & Yi Tsong. (2013). Bayesian Approach to Assay Sensitivity Analysis of Thorough QT Trials. Journal of Biopharmaceutical Statistics. 23(1). 73–81. 3 indexed citations
20.
Dong, Xiaoyu, Yu Guo, & Yi Tsong. (2012). A Note on Two Approaches of Testing Bridging Evidence to a New Region. Journal of Biopharmaceutical Statistics. 22(5). 966–976. 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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