Ying Tao

20 total papers · 545 total citations
15 papers, 408 citations indexed

About

Ying Tao is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Ying Tao has authored 15 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Ying Tao's work include Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (4 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Ying Tao is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (4 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Ying Tao collaborates with scholars based in United States, China and Portugal. Ying Tao's co-authors include Yun Bai, Yves A. Lussier, Chuan Li, Carol Friedman, Shuai Yang, Lee Sam, Jianrong Li, Jingjing Xie, Chao Liu and Bo Zeng and has published in prestigious journals such as Bioinformatics, IEEE Access and Energy.

In The Last Decade

Ying Tao

15 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Ying Tao	157	122	62	54	52	15	408
Yashuang Mu	58 0.4×	47 0.4×	138 2.2×	28 0.5×	24 0.5×	24	431
Sajjad Nematzadeh	50 0.3×	77 0.6×	158 2.5×	16 0.3×	28 0.5×	22	450
Jason Brownlee	38 0.2×	53 0.4×	150 2.4×	18 0.3×	42 0.8×	14	394
Yingchun Xia	61 0.4×	30 0.2×	207 3.3×	16 0.3×	33 0.6×	12	482
Ting Lu	29 0.2×	174 1.4×	51 0.8×	29 0.5×	16 0.3×	31	490
Miguel Delgado Calvo-Flores	23 0.1×	107 0.9×	164 2.6×	70 1.3×	44 0.8×	21	443
Beatriz A. Garro	75 0.5×	53 0.4×	220 3.5×	8 0.1×	29 0.6×	16	380
Hongfang Zhou	45 0.3×	36 0.3×	240 3.9×	18 0.3×	31 0.6×	21	460
B. Venkatesh	32 0.2×	36 0.3×	199 3.2×	18 0.3×	27 0.5×	19	464
Cyril Fonlupt	35 0.2×	31 0.3×	224 3.6×	27 0.5×	31 0.6×	29	387

Countries citing papers authored by Ying Tao

Since Specialization

Citations

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

Fields of papers citing papers by Ying Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Tao. A scholar is included among the top collaborators of Ying Tao 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 Ying Tao. Ying Tao 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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