Lang Chen

1.9k citations
46 papers · 1.3k · h-index 17

Impact in

Papers in

Lang Chen

45 papers receiving 1.3k citations

Peers

Lang Chen
Comparison fields: 5 of 128
  • Developmental and Educational Psychology 522
  • Cognitive Neuroscience 606
  • Statistics and Probability 218
  • Experimental and Cognitive Psychology 213
  • Language and Linguistics 103
Replace Catherine M. Sandhofer with:
Catherine M. Sandhofer United States
Hanako Yoshida United States
Donald J. Bolger United States
Jane Ashby United States
Timothy J. Slattery United Kingdom
Haley A. Vlach United States
Chantel S. Prat United States
Amy E. Booth United States
Daniel Yurovsky United States
Heidi Kloos United States
Lang Chen relative to Catherine M. Sandhofer United States Catherine M. Sandhofer's profile →
Citations per field
00.5×2.8×
Catherine M. Sandhofer · 1×
Citations per year

Countries citing papers authored by Lang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lang Chen, 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 Lang Chen Line = papers co-authored together Lang Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007175
2 2006167
3 2010135
4 2017129
5 2019106
6 201894
7 200769
8 201668
9 201851
10 201836
11 201735
12 201628
13 201028
14 200625
15 201419
16 202316
17 202416
18 202314
19 201614
20 202413

About Lang Chen

Lang Chen is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Statistics and Probability, Education and Experimental and Cognitive Psychology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (9 papers), Neurobiology of Language and Bilingualism (8 papers), Reading and Literacy Development (8 papers), Autism Spectrum Disorder Research (5 papers), Mathematics Education and Teaching Techniques (4 papers), Topic Modeling (3 papers), Education, Achievement, and Giftedness (3 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Developmental and Educational Psychology (522 citations), Cognitive Neuroscience (606 citations), Statistics and Probability (218 citations), Experimental and Cognitive Psychology (213 citations) and Language and Linguistics (103 citations). Lang Chen has collaborated with scholars based in United States, China and France. Frequent co-authors include Hua Shu, Vinod Menon, Timothy T. Rogers, Ping Li, Youyi Liu, Matthew A. Lambon Ralph, Jingjing Zhao, Daniel A. Abrams, Tianwen Chen and Christian Battista. Their work appears in journals such as Neuropsychologia, npj Science of Learning, Journal of Energy Storage, Journal of Medical Internet Research and Bilingualism Language 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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