Lina Yang

119 total papers · 833 total citations
70 papers, 535 citations indexed

About

Lina Yang is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Lina Yang has authored 70 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Artificial Intelligence and 18 papers in Plant Science. Recurrent topics in Lina Yang's work include Machine Learning in Bioinformatics (8 papers), RNA and protein synthesis mechanisms (6 papers) and Plant Reproductive Biology (5 papers). Lina Yang is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), RNA and protein synthesis mechanisms (6 papers) and Plant Reproductive Biology (5 papers). Lina Yang collaborates with scholars based in China, United States and Macao. Lina Yang's co-authors include Vagner A. Benedito, Jian Zhao, Xichun Li, Senjuti Sinharoy, Antônio Chalfun-Júnior, Lucas Gontijo Silva Maia, Yuchen Li, Junjie Wang, Jiangqi Wen and Kirankumar S. Mysore and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Plant Journal.

In The Last Decade

Lina Yang

57 papers receiving 525 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lina Yang 221 185 51 44 39 70 535
Xiang Wei 68 0.3× 148 0.8× 51 1.0× 73 1.7× 14 0.4× 56 518
Han Guo 78 0.4× 94 0.5× 26 0.5× 44 1.0× 96 2.5× 45 576
Mingjie Li 217 1.0× 134 0.7× 7 0.1× 116 2.6× 120 3.1× 55 566
Binbin Lin 70 0.3× 124 0.7× 10 0.2× 88 2.0× 10 0.3× 46 456
Jun Lu 132 0.6× 182 1.0× 8 0.2× 40 0.9× 13 0.3× 36 501
Lu Cao 51 0.2× 176 1.0× 21 0.4× 20 0.5× 15 0.4× 95 619
Shuo Yang 126 0.6× 231 1.2× 7 0.1× 79 1.8× 46 1.2× 55 609
Hideaki Tanaka 93 0.4× 233 1.3× 6 0.1× 23 0.5× 12 0.3× 39 543
Yi Gan 109 0.5× 105 0.6× 8 0.2× 38 0.9× 25 0.6× 73 503
Qing Xia 43 0.2× 106 0.6× 62 1.2× 111 2.5× 56 1.4× 61 477

Countries citing papers authored by Lina Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lina Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Yang. A scholar is included among the top collaborators of Lina 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 Lina Yang. Lina Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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