Tina Yu

120 total papers · 1.7k total citations
54 papers, 682 citations indexed

About

Tina Yu is a scholar working on Artificial Intelligence, Clinical Psychology and Health. According to data from OpenAlex, Tina Yu has authored 54 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Clinical Psychology and 9 papers in Health. Recurrent topics in Tina Yu's work include Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Optimism, Hope, and Well-being (9 papers). Tina Yu is often cited by papers focused on Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Optimism, Hope, and Well-being (9 papers). Tina Yu collaborates with scholars based in United States, Canada and United Kingdom. Tina Yu's co-authors include Edward C. Chang, Jameson K. Hirsch, Olivia D. Chang, Elizabeth A. Yu, Christopher D. Clack, Julian F. Miller, Seong Lee, Bill Worzel, Rick Riolo and A. Castellini and has published in prestigious journals such as Anesthesiology, Personality and Individual Differences and Journal of Clinical Psychology.

In The Last Decade

Tina Yu

48 papers receiving 636 citations

Author Peers

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

Author Last Decade Papers Cites
Tina Yu 211 162 145 129 105 54 682
Helen Harris 54 0.3× 321 2.0× 110 0.8× 32 0.2× 35 0.3× 45 741
Robert J. Moore 53 0.3× 145 0.9× 210 1.4× 20 0.2× 42 0.4× 51 737
Daniel A. Russell 85 0.4× 51 0.3× 31 0.2× 29 0.2× 22 0.2× 45 774
Jennifer Tichon 43 0.2× 215 1.3× 24 0.2× 13 0.1× 35 0.3× 42 665
Hengsheng Zhang 160 0.8× 263 1.6× 46 0.3× 12 0.1× 101 1.0× 31 765
Majeed Khader 191 0.9× 212 1.3× 25 0.2× 39 0.3× 51 0.5× 46 684
Norina Gasteiger 118 0.6× 223 1.4× 170 1.2× 61 0.5× 79 0.8× 44 698
Robin Welsch 93 0.4× 229 1.4× 87 0.6× 5 0.0× 35 0.3× 48 695
Panote Siriaraya 60 0.3× 85 0.5× 78 0.5× 8 0.1× 82 0.8× 79 749
José Alberto Benítez‐Andrades 65 0.3× 79 0.5× 171 1.2× 14 0.1× 28 0.3× 65 751

Countries citing papers authored by Tina Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tina Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Yu. A scholar is included among the top collaborators of Tina Yu 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 Tina Yu. Tina Yu 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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2026