Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Infants rapidly learn word-referent mappings via cross-situational statistics
This map shows the geographic impact of Chen Yu'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 Chen Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Yu more than expected).
This network shows the impact of papers produced by Chen Yu. 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 Chen Yu. The network helps show where Chen Yu may publish in the future.
Co-authorship network of co-authors of Chen Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Chen Yu.
A scholar is included among the top collaborators of Chen Yu 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 Chen Yu. Chen Yu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Houston, Derek M., et al.. (2021). Joint Action in Deaf and Hearing Toddlers: A Mobile Eye-Tracking Study. Keele Research Repository (Keele University). 43(43).
Liu, Siyun, Yayun Zhang, & Chen Yu. (2019). Why Some Verbs are Harder to Learn than Others - A Micro-Level Analysis of Everyday Learning Contexts for Early Verb Learning.. Cognitive Science. 2173–2178.3 indexed citations
9.
Yu, Chen, et al.. (2019). Action prediction during real-time social interactions in infancy.. Cognitive Science. 836–842.1 indexed citations
10.
Yu, Chen, et al.. (2016). Quantifying Joint Activities using Cross-Recurrence Block Representation.. Cognitive Science.6 indexed citations
11.
Bambach, Sven, John M. Franchak, David Crandall, & Chen Yu. (2014). Detecting Hands in Children's Egocentric Views to Understand Embodied Attention during Social Interaction. Cognitive Science. 36(36).12 indexed citations
12.
Kachergis, George & Chen Yu. (2013). More Naturalistic Cross-situational Word Learning. Cognitive Science. 35(35).3 indexed citations
13.
Yu, Chen, Junming Xu, & Xiaojin Zhu. (2011). Word Learning through Sensorimotor Child-Parent Interaction: A Feature Selection Approach. Cognitive Science. 33(33).1 indexed citations
14.
Kachergis, George, et al.. (2010). Simultaneous Cross-situational Learning of Category and Object Names. eScholarship (California Digital Library). 32(32).3 indexed citations
15.
Kachergis, George, et al.. (2009). Simultaneous Noun and Category Learning via Cross-Situational Statistics. eScholarship (California Digital Library). 31(31).
16.
Pereira, Alfredo F., Hongwei Shen, Linda B. Smith, & Chen Yu. (2009). A First-Person Perspective on a Parent-Child Social Interaction During Object Play. eScholarship (California Digital Library). 31(31).6 indexed citations
17.
Yurovsky, Daniel & Chen Yu. (2008). Mutual Exclusivity in Cross-Situational Statistical Learning. eScholarship (California Digital Library).23 indexed citations
18.
Yu, Chen, Linda B. Smith, Krystal A. Klein, & Richard M. Shiffrin. (2007). Hypothesis Testing and Associative Learning in Cross-Situational Word Learning: Are They One and the Same?. eScholarship (California Digital Library). 29(29).12 indexed citations
19.
Yu, Chen. (2006). The effects of deictic pointing in word learning.9 indexed citations
20.
Smith, Linda B. & Chen Yu. (2006). Statistical Cross-Situational Learning to Build Word-to-World Mappings. eScholarship (California Digital Library). 28(28).8 indexed citations
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.