Yingrui Yang

30 papers receiving 176 citations

Peers

Yingrui Yang
Comparison fields: 5 of 47
  • Artificial Intelligence 97
  • Developmental and Educational Psychology 42
  • Experimental and Cognitive Psychology 35
  • General Decision Sciences 30
  • Cognitive Neuroscience 25
Replace Scott C. Stoness with:
Scott C. Stoness United States
Eric Melz United States
Justine Kao United States
Karsten Verbeurgt Canada
Trent E. Lange United States
Ryan West United States
Adam F Osth Australia
Henk Zeevat Netherlands
Atsushi Shimojima Japan
Jesús M. Larrazabal Spain
Yingrui Yang relative to Scott C. Stoness United States Scott C. Stoness's profile →
Citations per field
00.5×4.3×
Scott C. Stoness · 1×
Citations per year

Countries citing papers authored by Yingrui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yingrui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingrui Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingrui Yang. A scholar is included among the top collaborators of Yingrui 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 Yingrui Yang. Yingrui Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 6
4 3
5 2
6 10
7 3
8 1
9
Research on the extraction of Uyghur-Chinese mixed text lines from images with complex backgrounds
1
10 2
11
Perhaps the Rigorous Modeling of Economic Phenomena Requires Hypercomputation.
2
12
Empirical Justifications for the Universalness of the Mental Logic and Mental Models Paradigm
1
13 5
14
Probabilistic Judgment by a Coarser Scale: Behavioral and ERP Evidence
2
15
Toward A Multilevel Analysis of Human Attentional Networks
2
16
Mental metalogic and its empirical justifications: The case of reasoning with quantifiers and predicates
1
17 3
18 22
19 34
20 1

About Yingrui Yang

Yingrui Yang is a scholar working on General Decision Sciences, Artificial Intelligence and Computational Theory and Mathematics, having authored 33 papers that have together received 194 indexed citations. Recurring topics across this work include Cognitive Science and Mapping (7 papers), Logic, Reasoning, and Knowledge (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in General Decision Sciences (30 citations), Developmental and Educational Psychology (42 citations) and Artificial Intelligence (97 citations). Yingrui Yang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include P. N. Johnson‐Laird, Jean‐Baptiste Van der Henst, Weihua Niu, John H. Zhang, Selmer Bringsjord, Yifan Qiao, Tao Yang, Ira Noveck, David P. O'Brien and Shalom M. Fisch. Their work appears in journals such as Psychological Review, Journal of Experimental Psychology General and Behavioral and Brain Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026