Guoli Yan

2.4k citations
74 papers · 1.4k · h-index 20

Impact in

Papers in

Guoli Yan

67 papers receiving 1.4k citations

Peers

Guoli Yan
Comparison fields: 5 of 94
  • Developmental and Educational Psychology 973
  • Cognitive Neuroscience 720
  • Human-Computer Interaction 198
  • Experimental and Cognitive Psychology 332
  • Artificial Intelligence 384
Replace Katherine S. Binder with:
Katherine S. Binder United States
Holly Joseph United Kingdom
Keith Rayner United States
Sam‐Po Law Hong Kong
Stefan Hawelka Austria
Raymond Bertram Finland
Joana Acha Spain
John M. Henderson United Kingdom
Michael Dambacher Germany
Guoli Yan relative to Katherine S. Binder United States Katherine S. Binder's profile →
Citations per field
00.5×3.5×
Katherine S. Binder · 1×
Citations per year

Countries citing papers authored by Guoli Yan

Since Specialization
Citations

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

Fields of papers citing papers by Guoli Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guoli Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guoli Yan Line = papers co-authored together Guoli Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008190
2 2006142
3 2005109
4 201583
5 201277
6 201254
7 201252
8 201446
9 201136
10 201135
11 201232
12 201830
13 201530
14 201929
15 201426
16 201326
17 201125
18 201724
19 201522
20 201519

About Guoli Yan

Guoli Yan is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence and Human-Computer Interaction, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reading and Literacy Development (40 papers), Neurobiology of Language and Bilingualism (32 papers), Gaze Tracking and Assistive Technology (11 papers), Text Readability and Simplification (11 papers), Second Language Acquisition and Learning (10 papers), Visual perception and processing mechanisms (6 papers), Language, Metaphor, and Cognition (6 papers) and Multisensory perception and integration (4 papers). The work is most often cited by research in Developmental and Educational Psychology (973 citations), Cognitive Neuroscience (720 citations), Human-Computer Interaction (198 citations), Experimental and Cognitive Psychology (332 citations) and Artificial Intelligence (384 citations). Guoli Yan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xuejun Bai, Simon P. Liversedge, Chuanli Zang, Keith Rayner, Denis Drieghe, Xingshan Li, Barbara J. Juhasz, Jukka Hyönä, Hazel I. Blythe and Manman Zhang. Their work appears in journals such as Quarterly Journal of Experimental Psychology, Frontiers in Psychology, Journal of Experimental Psychology Human Perception & Performance, PLoS ONE and Journal of Experimental Psychology Learning Memory and Cognition.

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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