Yunzhi Lin

834 total citations
33 papers, 515 citations indexed

About

Yunzhi Lin is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yunzhi Lin has authored 33 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Yunzhi Lin's work include Statistical Methods in Clinical Trials (11 papers), Robot Manipulation and Learning (6 papers) and Advanced Causal Inference Techniques (6 papers). Yunzhi Lin is often cited by papers focused on Statistical Methods in Clinical Trials (11 papers), Robot Manipulation and Learning (6 papers) and Advanced Causal Inference Techniques (6 papers). Yunzhi Lin collaborates with scholars based in United States, China and Sweden. Yunzhi Lin's co-authors include Zheng Su, Zhu Ming, Patricio A. Vela, Tao Jin, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Jianchang Lin, Qing Li and Ruinian Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Yunzhi Lin

31 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunzhi Lin United States 15 97 95 81 65 57 33 515
Yung‐Kyun Noh South Korea 13 89 0.9× 12 0.1× 25 0.3× 88 1.4× 22 0.4× 47 511
Nina Zhou United States 11 70 0.7× 12 0.1× 15 0.2× 121 1.9× 33 0.6× 34 533
Longsheng Wei China 14 206 2.1× 18 0.2× 9 0.1× 38 0.6× 26 0.5× 65 871
Li Zeng United States 13 22 0.2× 37 0.4× 31 0.4× 181 2.8× 31 0.5× 54 597
Giovanni Paragliola Italy 12 67 0.7× 15 0.2× 16 0.2× 238 3.7× 10 0.2× 35 520
Masahiro Sato Japan 13 24 0.2× 7 0.1× 88 1.1× 221 3.4× 41 0.7× 84 727
Matthew Field Australia 14 95 1.0× 6 0.1× 77 1.0× 192 3.0× 14 0.2× 43 756
Kwang-Baek Kim South Korea 10 140 1.4× 6 0.1× 25 0.3× 81 1.2× 22 0.4× 162 536
Song Yang China 12 52 0.5× 13 0.1× 23 0.3× 104 1.6× 12 0.2× 42 489
Gabriella Balestra Italy 14 133 1.4× 8 0.1× 17 0.2× 105 1.6× 12 0.2× 104 927

Countries citing papers authored by Yunzhi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yunzhi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunzhi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yunzhi Lin. A scholar is included among the top collaborators of Yunzhi Lin 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 Yunzhi Lin. Yunzhi Lin 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.
Chen, Peikai, Zhijia Tan, Yunzhi Lin, et al.. (2023). Scoliosis in osteogenesis imperfecta: identifying the genetic and non-genetic factors affecting severity and progression from longitudinal data of 290 patients. Orphanet Journal of Rare Diseases. 18(1). 295–295. 3 indexed citations
2.
Chen, Yiye, Ruinian Xu, Yunzhi Lin, Hongyi Chen, & Patricio A. Vela. (2023). KGNv2: Separating Scale and Pose Prediction for Keypoint-Based 6-DoF Grasp Synthesis on RGB-D Input. 2971–2978. 2 indexed citations
3.
Lin, Yunzhi, et al.. (2023). Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input. 7988–7995. 5 indexed citations
4.
Chen, Yiye, Yunzhi Lin, Ruinian Xu, & Patricio A. Vela. (2023). WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis. 5275–5284.
5.
Li, Haibin, et al.. (2023). A High Step-Up Hybrid Y-Source-Quasi-Z Source DC–DC Converter for Renewable Energy Applications. IEEE Transactions on Industrial Electronics. 71(9). 10681–10692. 19 indexed citations
6.
Lin, Yunzhi, et al.. (2022). High-Speed Railway Pantograph-Catenary Anomaly Detection Method Based on Depth Vision Neural Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 25 indexed citations
7.
Lin, Yunzhi. (2021). Review of the influences of COVID-19 pandemic on tourism. SHILAP Revista de lepidopterología. 275. 1019–1019. 1 indexed citations
8.
Li, Qing, Jianchang Lin, & Yunzhi Lin. (2020). Adaptive design implementation in confirmatory trials: methods, practical considerations and case studies. Contemporary Clinical Trials. 98. 106096–106096. 17 indexed citations
9.
Li, Qing, et al.. (2020). Innovative trial designs and analyses for vaccine clinical development. Contemporary Clinical Trials. 100. 106225–106225. 24 indexed citations
10.
Ganju, Jitendra, Yunzhi Lin, & Kefei Zhou. (2017). Robust inference for group sequential trials. Pharmaceutical Statistics. 16(2). 167–173.
11.
Lin, Yunzhi, Kefei Zhou, & Jitendra Ganju. (2016). A single test for rejecting the null hypothesis in subgroups and in the overall sample. Journal of Biopharmaceutical Statistics. 27(1). 101–110. 2 indexed citations
12.
Mehta, Minesh P., Karthikeyan Perumal, Erinç Aktüre, et al.. (2015). Atypical meningioma: Randomized trials are required to resolve contradictory retrospective results regarding the role of adjuvant radiotherapy. Journal of Cancer Research and Therapeutics. 11(1). 59–59. 44 indexed citations
13.
Lin, Yunzhi, Zhu Ming, & Zheng Su. (2015). The pursuit of balance: An overview of covariate-adaptive randomization techniques in clinical trials. Contemporary Clinical Trials. 45(Pt A). 21–25. 90 indexed citations
14.
Burnside, Elizabeth S., Yunzhi Lin, Alejandro Muñoz del Río, et al.. (2014). Addressing the Challenge of Assessing Physician-Level Screening Performance: Mammography as an Example. PLoS ONE. 9(2). e89418–e89418. 10 indexed citations
15.
Lin, Yunzhi, Menggang Yu, Sijian Wang, Richard J. Chappell, & Thomas F. Imperiale. (2013). Advanced colorectal neoplasia risk stratification by penalized logistic regression. Statistical Methods in Medical Research. 25(4). 1677–1691. 4 indexed citations
16.
Miranpuri, Amrendra, Erinç Aktüre, Kutluay Uluç, et al.. (2012). Demographic, circadian, and climatic factors in non-aneurysmal versus aneursymal subarachnoid hemorrhage. Clinical Neurology and Neurosurgery. 115(3). 298–303. 14 indexed citations
17.
Lin, Yunzhi, Sijian Wang, & Richard J. Chappell. (2012). Lasso tree for cancer staging with survival data. Biostatistics. 14(2). 327–339. 7 indexed citations
18.
Lin, Yunzhi & Zheng Su. (2012). Quantifying the exact allocation ratios in randomized clinical trials with biased coin randomization. Computer Methods and Programs in Biomedicine. 108(1). 197–202. 1 indexed citations
19.
20.
Woods, Ryan W., et al.. (2010). The Mammographic Density of a Mass Is a Significant Predictor of Breast Cancer. Radiology. 258(2). 417–425. 41 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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