Juan Yang

104 total papers · 1.3k total citations
64 papers, 844 citations indexed

About

Juan Yang is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Juan Yang has authored 64 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Computer Science Applications and 13 papers in Information Systems. Recurrent topics in Juan Yang's work include Online Learning and Analytics (10 papers), Sentiment Analysis and Opinion Mining (6 papers) and Topic Modeling (6 papers). Juan Yang is often cited by papers focused on Online Learning and Analytics (10 papers), Sentiment Analysis and Opinion Mining (6 papers) and Topic Modeling (6 papers). Juan Yang collaborates with scholars based in China, United States and Singapore. Juan Yang's co-authors include Xibin Han, Xu Du, Jui-Long Hung, Jiangang Cheng, Jing Ma, Yuping Wang, Brett E. Shelton, Jian Yang, Kerry Rice and Ao Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and IEEE Access.

In The Last Decade

Juan Yang

57 papers receiving 802 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Yang 329 296 194 157 99 64 844
Camino Fernández 247 0.8× 101 0.3× 172 0.9× 169 1.1× 85 0.9× 102 905
Cynthia Taylor 279 0.8× 149 0.5× 96 0.5× 152 1.0× 134 1.4× 74 837
Weiqin Chen 217 0.7× 148 0.5× 158 0.8× 127 0.8× 114 1.2× 84 794
Manuel Ortega 247 0.8× 111 0.4× 117 0.6× 227 1.4× 196 2.0× 108 845
Christian M. Stracke 291 0.9× 189 0.6× 49 0.3× 115 0.7× 56 0.6× 68 906
Isidoros Perikos 183 0.6× 86 0.3× 512 2.6× 181 1.2× 132 1.3× 88 1.0k
Gursimran Walia 233 0.7× 125 0.4× 138 0.7× 594 3.8× 99 1.0× 82 999
Pablo Garaizar 230 0.7× 117 0.4× 58 0.3× 117 0.7× 183 1.8× 52 793
Ján Schneider 309 0.9× 137 0.5× 293 1.5× 125 0.8× 204 2.1× 47 828
Shengquan Yu 231 0.7× 290 1.0× 144 0.7× 253 1.6× 184 1.9× 71 816

Countries citing papers authored by Juan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Juan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Yang

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