Shiyu Wang

161 total papers · 1.4k total citations
77 papers, 634 citations indexed

About

Shiyu Wang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Shiyu Wang has authored 77 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 20 papers in Management Science and Operations Research and 8 papers in Sociology and Political Science. Recurrent topics in Shiyu Wang's work include Psychometric Methodologies and Testing (10 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Advanced Statistical Modeling Techniques (5 papers). Shiyu Wang is often cited by papers focused on Psychometric Methodologies and Testing (10 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Advanced Statistical Modeling Techniques (5 papers). Shiyu Wang collaborates with scholars based in China, United States and Hong Kong. Shiyu Wang's co-authors include Steven Andrew Culpepper, Jeffrey A. Douglas, Jeff Douglas, Susu Zhang, Yan Yang, Md. Rakibul Hoque, Yukun Bao, Houping Xiao, Hua‐Hua Chang and Luis A. J. Mur and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Shiyu Wang

63 papers receiving 616 citations

Author Peers

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

Author						Papers	Cites
Shiyu Wang	229	173	87	72	70	77	634
Tianyou Wang	76 0.3×	412 2.4×	220 2.5×	33 0.5×	127 1.8×	42	664
Caixia Liu	129 0.6×	55 0.3×	44 0.5×	87 1.2×	6 0.1×	57	674
Tuğba Taşkaya Temizel	182 0.8×	126 0.7×	60 0.7×	35 0.5×	10 0.1×	44	607
Antonio Bahamonde	380 1.7×	53 0.3×	24 0.3×	40 0.6×	18 0.3×	48	791
Luis Castillo	230 1.0×	41 0.2×	82 0.9×	51 0.7×	10 0.1×	87	720
Zeng‐Wei Hong	179 0.8×	28 0.2×	86 1.0×	107 1.5×	7 0.1×	41	696
Gintautas Dzemyda	264 1.2×	48 0.3×	27 0.3×	27 0.4×	10 0.1×	104	768
Jianrong Wang	223 1.0×	50 0.3×	110 1.3×	20 0.3×	10 0.1×	87	722
Rebecca Nugent	180 0.8×	38 0.2×	12 0.1×	73 1.0×	64 0.9×	45	564
Sadique Ahmad	127 0.6×	47 0.3×	129 1.5×	36 0.5×	10 0.1×	96	759

Countries citing papers authored by Shiyu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shiyu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyu Wang

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