Yu Shu

37 total papers · 619 total citations
18 papers, 431 citations indexed

About

Yu Shu is a scholar working on Information Systems, Education and Developmental and Educational Psychology. According to data from OpenAlex, Yu Shu has authored 18 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Education and 4 papers in Developmental and Educational Psychology. Recurrent topics in Yu Shu's work include Innovative Teaching and Learning Methods (4 papers), Virtual Reality Applications and Impacts (3 papers) and Teaching and Learning Programming (3 papers). Yu Shu is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), Virtual Reality Applications and Impacts (3 papers) and Teaching and Learning Programming (3 papers). Yu Shu collaborates with scholars based in Taiwan, United States and Japan. Yu Shu's co-authors include Tien‐Chi Huang, Shu-Hsuan Chang, Mu‐Yen Chen, Kuo‐Lun Hsiao, Tien-Chi Huang, Wen‐Chi Vivian Wu, Michael W. Marek, Yujie Chen, Yong‐Ming Huang and Neil Y. Yen and has published in prestigious journals such as Computers in Human Behavior, Frontiers in Psychology and Telematics and Informatics.

In The Last Decade

Yu Shu

14 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Yu Shu 126 85 78 77 62 18 431
Gianluca Schiavo 85 0.7× 52 0.6× 75 1.0× 79 1.0× 19 0.3× 45 428
Sarah Morrison-Smith 145 1.2× 123 1.4× 67 0.9× 30 0.4× 41 0.7× 17 453
Effie Law 153 1.2× 56 0.7× 102 1.3× 72 0.9× 34 0.5× 19 425
Daniela Quiñones 155 1.2× 25 0.3× 40 0.5× 66 0.9× 35 0.6× 22 452
Khaled Bachour 147 1.2× 64 0.8× 155 2.0× 29 0.4× 44 0.7× 22 463
Colette Nicolle 124 1.0× 35 0.4× 79 1.0× 37 0.5× 33 0.5× 49 461
Haakon Faste 212 1.7× 35 0.4× 75 1.0× 24 0.3× 33 0.5× 19 376
Claude Ghaoui 186 1.5× 59 0.7× 65 0.8× 33 0.4× 55 0.9× 15 473
Chadia Abras 118 0.9× 34 0.4× 60 0.8× 63 0.8× 33 0.5× 8 432
Nassim JafariNaimi 206 1.6× 49 0.6× 105 1.3× 22 0.3× 46 0.7× 18 411

Countries citing papers authored by Yu Shu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shu

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