Can Yang

2.9k total citations · 1 hit paper
41 papers, 1.6k citations indexed

About

Can Yang is a scholar working on Genetics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Can Yang has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 18 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Can Yang's work include Genetic Associations and Epidemiology (17 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Gene expression and cancer classification (7 papers). Can Yang is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Gene expression and cancer classification (7 papers). Can Yang collaborates with scholars based in United States, Hong Kong and China. Can Yang's co-authors include Weichuan Yu, Hongyu Zhao, Xiaowei Zhou, Joel Gelernter, Cong Li, Dongjun Chung, Xiaowei Zhou, Henry R. Kranzler, Lindsay A. Farrer and Qian Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Can Yang

38 papers receiving 1.6k citations

Hit Papers

Moving Object Detection by Detecting Contiguous Outliers ... 2012 2026 2016 2021 2012 100 200 300 400
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.

  1. Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
    2012 482 citations Xiaowei Zhou, Can Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Yang United States 19 594 502 389 271 114 41 1.6k
Vikas Singh United States 26 995 1.7× 44 0.1× 221 0.6× 130 0.5× 544 4.8× 120 2.5k
Anders Eriksson Australia 24 963 1.6× 77 0.2× 61 0.2× 493 1.8× 211 1.9× 72 2.0k
Kim‐Han Thung United States 22 552 0.9× 55 0.1× 191 0.5× 84 0.3× 597 5.2× 57 1.9k
Robin Wolz United Kingdom 26 1.2k 2.0× 52 0.1× 179 0.5× 60 0.2× 461 4.0× 78 3.1k
Carlos G. Puntonet Spain 26 532 0.9× 50 0.1× 186 0.5× 193 0.7× 475 4.2× 109 2.1k
Jian Fang China 15 108 0.2× 87 0.2× 235 0.6× 237 0.9× 298 2.6× 47 1.2k
Liang Sun China 19 563 0.9× 17 0.0× 202 0.5× 91 0.3× 675 5.9× 90 1.8k
Junliang Shang China 20 74 0.1× 257 0.5× 525 1.3× 28 0.1× 168 1.5× 127 1.0k
Toshiyuki Sakai Japan 22 690 1.2× 101 0.2× 433 1.1× 26 0.1× 126 1.1× 110 2.1k

Countries citing papers authored by Can Yang

Since Specialization
Citations

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

Fields of papers citing papers by Can Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Can Yang. A scholar is included among the top collaborators of Can Yang 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 Can Yang. Can Yang 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.
2.
3.
Li, Juan, et al.. (2024). Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study. JMIR Aging. 7. e54353–e54353. 11 indexed citations
4.
Yang, Can, Yu Dai, Wei Liu, et al.. (2024). Novel drug delivery systems for hirudin-based product development and clinical applications. International Journal of Biological Macromolecules. 287. 138533–138533. 1 indexed citations
5.
Zhu, Donglin, et al.. (2024). H-ACO with Consecutive Bases Pairing Constraint for Designing DNA Sequences. Interdisciplinary Sciences Computational Life Sciences. 16(3). 593–607. 4 indexed citations
6.
7.
Jin, Bangti, et al.. (2021). A unified primal dual active set algorithm for nonconvex sparse recovery. UCL Discovery (University College London).
8.
Lin, Zhixiang, Can Yang, Ying Zhu, et al.. (2016). Simultaneous dimension reduction and adjustment for confounding variation. Proceedings of the National Academy of Sciences. 113(51). 14662–14667. 27 indexed citations
9.
Cao, Wenfei, Yao Wang, Jian Sun, et al.. (2016). Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 84 indexed citations
10.
Wang, Qian, Can Yang, Joel Gelernter, & Hongyu Zhao. (2015). Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS. Human Genetics. 134(11-12). 1195–1209. 51 indexed citations
11.
Yang, Can, Cong Li, Qian Wang, Dongjun Chung, & Hongyu Zhao. (2015). Implications of pleiotropy: challenges and opportunities for mining Big Data in biomedicine. Frontiers in Genetics. 6. 229–229. 38 indexed citations
12.
Yang, Can, Cong Li, Mengjie Chen, et al.. (2014). A penalized linear mixed model for genomic prediction using pedigree structures. BMC Proceedings. 8(S1). S67–S67. 1 indexed citations
13.
Zhang, Huiping, Fan Wang, Henry R. Kranzler, et al.. (2014). Identification of methylation quantitative trait loci (mQTLs) influencing promoter DNA methylation of alcohol dependence risk genes. Human Genetics. 133(9). 1093–1104. 29 indexed citations
14.
Li, Cong, Can Yang, Mengjie Chen, et al.. (2014). Adjustment of familial relatedness in association test for rare variants. BMC Proceedings. 8(S1). S39–S39. 1 indexed citations
15.
Li, Cong, Can Yang, Joel Gelernter, & Hongyu Zhao. (2013). Improving genetic risk prediction by leveraging pleiotropy. Human Genetics. 133(5). 639–650. 60 indexed citations
16.
Zhou, Xiaowei, Can Yang, Xiang Wan, Hongyu Zhao, & Weichuan Yu. (2013). Multisample aCGH Data Analysis via Total Variation and Spectral Regularization. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(1). 230–235. 20 indexed citations
17.
Yang, Can, Cong Li, Henry R. Kranzler, et al.. (2013). Exploring the genetic architecture of alcohol dependence in African-Americans via analysis of a genomewide set of common variants. Human Genetics. 133(5). 617–624. 15 indexed citations
18.
Xie, Pingxing, Henry R. Kranzler, Can Yang, et al.. (2013). Genome-wide Association Study Identifies New Susceptibility Loci for Posttraumatic Stress Disorder. Biological Psychiatry. 74(9). 656–663. 109 indexed citations
19.
He, Zengyou, et al.. (2012). Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(4). 1212–1219. 1 indexed citations
20.
He, Zengyou, Can Yang, & Weichuan Yu. (2009). A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 368–380. 12 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 Vikas Singh Breakdown of academic impact, for papers by Anders Eriksson Breakdown of academic impact, for papers by Kim‐Han Thung Breakdown of academic impact, for papers by Robin Wolz Breakdown of academic impact, for papers by Carlos G. Puntonet Breakdown of academic impact, for papers by Jian Fang Breakdown of academic impact, for papers by Liang Sun Breakdown of academic impact, for papers by Junliang Shang Breakdown of academic impact, for papers by Toshiyuki Sakai
Rankless by CCL
2026