Naiyi Wang

53 total papers · 1.2k total citations
27 papers, 943 citations indexed

About

Naiyi Wang is a scholar working on Cognitive Neuroscience, Clinical Psychology and Social Psychology. According to data from OpenAlex, Naiyi Wang has authored 27 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Clinical Psychology and 4 papers in Social Psychology. Recurrent topics in Naiyi Wang's work include Neural and Behavioral Psychology Studies (4 papers), Stock Market Forecasting Methods (4 papers) and Time Series Analysis and Forecasting (4 papers). Naiyi Wang is often cited by papers focused on Neural and Behavioral Psychology Studies (4 papers), Stock Market Forecasting Methods (4 papers) and Time Series Analysis and Forecasting (4 papers). Naiyi Wang collaborates with scholars based in China, Taiwan and Netherlands. Naiyi Wang's co-authors include Shyi‐Ming Chen, Yuejia Luo, Wenbo Luo, Wenfeng Feng, Weiqi He, Jeng‐Shyang Pan, Jeng‐Shiung Jan, Jinn-Tsyy Lai, Chia‐Chen Hsu and Hong Li and has published in prestigious journals such as NeuroImage, Brain Research and Polymer.

In The Last Decade

Naiyi Wang

22 papers receiving 917 citations

Author Peers

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

Author Last Decade Papers Cites
Naiyi Wang 438 266 207 95 93 27 943
Jay I. Myung 264 0.6× 227 0.9× 104 0.5× 312 3.3× 45 0.5× 41 1.0k
Michael D. Hunter 181 0.4× 84 0.3× 396 1.9× 49 0.5× 114 1.2× 49 1.2k
Clintin P. Davis‐Stober 265 0.6× 152 0.6× 165 0.8× 137 1.4× 79 0.8× 62 1.1k
Rani Moran 894 2.0× 50 0.2× 218 1.1× 130 1.4× 139 1.5× 49 1.2k
Guangjian Zhang 54 0.1× 95 0.4× 277 1.3× 79 0.8× 204 2.2× 40 867
Veronika Lerche 782 1.8× 54 0.2× 404 2.0× 67 0.7× 127 1.4× 30 1.2k
Kim De Roover 45 0.1× 87 0.3× 218 1.1× 71 0.7× 259 2.8× 41 847
Ariel Zylberberg 1.0k 2.3× 27 0.1× 155 0.7× 81 0.9× 108 1.2× 31 1.2k
B. R. Hopkins 52 0.1× 73 0.3× 54 0.3× 74 0.8× 67 0.7× 14 872
Alan H. Kawamoto 605 1.4× 21 0.1× 319 1.5× 409 4.3× 70 0.8× 35 1.2k

Countries citing papers authored by Naiyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Naiyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naiyi Wang

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