Yang Da

642 total citations
38 papers, 438 citations indexed

About

Yang Da is a scholar working on Genetics, Information Systems and Computer Science Applications. According to data from OpenAlex, Yang Da has authored 38 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Information Systems and 4 papers in Computer Science Applications. Recurrent topics in Yang Da's work include Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Yang Da is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Yang Da collaborates with scholars based in China, United States and South Korea. Yang Da's co-authors include Daniel Dvorkin, Li Ma, Hakizumwami Birali Runesha, John Garbe, Shengwen Wang, Di Wu, Barry Boehm, Jing Yang, Harris A. Lewin and Toshiko Tanaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Yang Da

31 papers receiving 423 citations

Peers

Yang Da
Satnam Alag United States
Apostolos Malatras United Kingdom
Jiyi Li Japan
Brandon Malone United States
Giovanni Campagna United States
Florian Guitton United Kingdom
Yinfeng Li China
Kwangjin Park South Korea
Xuan Xie China
Haiyang Jia China
Satnam Alag United States
Yang Da
Citations per year, relative to Yang Da Yang Da (= 1×) peers Satnam Alag

Countries citing papers authored by Yang Da

Since Specialization
Citations

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

Fields of papers citing papers by Yang Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Da

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Da. A scholar is included among the top collaborators of Yang Da 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 Yang Da. Yang Da 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
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Zhou, Xiaoping, et al.. (2024). Prediction of landslide failure time based on moving average convergence and divergence coupling with Bayesian updating method. Engineering Geology. 343. 107781–107781. 5 indexed citations
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You, Yu, et al.. (2023). Macroprudential policy, capital flow management and monetary policy independence. The Quarterly Review of Economics and Finance. 88. 116–132. 1 indexed citations
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Yang, Ziqi, Lijin Wang, Yang Da, et al.. (2023). Purifier: Defending Data Inference Attacks via Transforming Confidence Scores. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10871–10879. 6 indexed citations
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Da, Yang. (2022). Pedigree likelihood formulae based on founder and founder couple symmetry and validation of DNA testing software. Forensic Science International Genetics. 62. 102782–102782. 1 indexed citations
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Wang, Lu, et al.. (2022). GPR12 Inhibits Apoptosis in Epithelial Ovarian Cancer via the Activation of ERK1/2 Signaling. Frontiers in Oncology. 12. 932689–932689. 4 indexed citations
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Wang, Shengwen, Daniel Dvorkin, & Yang Da. (2012). SNPEVG: a graphical tool for GWAS graphing with mouse clicks. BMC Bioinformatics. 13(1). 319–319. 45 indexed citations
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Yin, Ying, et al.. (2011). BPR of Equipment Manufacturing in Low-Carbon Economy Mode. 1. 1–5. 1 indexed citations
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Ma, Li, Jing Yang, Hakizumwami Birali Runesha, et al.. (2010). Genome-wide association analysis of total cholesterol and high-density lipoprotein cholesterol levels using the Framingham Heart Study data. BMC Medical Genetics. 11(1). 55–55. 62 indexed citations
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Ma, Li, Shizhong Han, Jing Yang, & Yang Da. (2010). Multi-locus Test Conditional on Confirmed Effects Leads to Increased Power in Genome-wide Association Studies. PLoS ONE. 5(11). e15006–e15006. 14 indexed citations
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Wu, Di, Yang Da, & Barry Boehm. (2010). Finding Success in Rapid Collaborative Requirements Negotiation Using Wiki and Shaper. 1–10. 9 indexed citations
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Ma, Li, Hakizumwami Birali Runesha, Daniel Dvorkin, John Garbe, & Yang Da. (2008). Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide association studies. BMC Bioinformatics. 9(1). 315–315. 87 indexed citations
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Da, Yang. (2006). The Study of Film Theodolite Precision Measurement in Outside by Measuring Star Based on GPS Time System.
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Da, Yang. (2005). RS statistics and analysis for forest coverage of Beijing.. Beijing Linye Daxue xuebao.
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Da, Yang & Harris A. Lewin. (1995). Linkage information content and efficiency of full-sib and half-sib designs for gene mapping. Theoretical and Applied Genetics. 90(5). 699–706. 13 indexed citations
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Shalhevet, D., Yang Da, Jonathan E. Beever, et al.. (1995). Genetic mapping of the LMP2 proteasome subunit gene to the BoLA class llb region. Immunogenetics. 41(1). 44–46. 5 indexed citations
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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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