Hyesang Chang

781 citations
16 papers · 526 indexed · h-index 9
Topics
Cognitive and developmental aspects of mathematical skills (12 papers)Neuroscience, Education and Cognitive Function (6 papers)Education, Achievement, and Giftedness (4 papers)
Partner nations
United StatesFranceChina

In The Last Decade

Hyesang Chang

15 papers receiving 500 citations

Peers

Hyesang Chang
Comparison fields: 5 of 64
  • Experimental and Cognitive Psychology 270
  • Education 224
  • Statistics and Probability 209
  • Social Psychology 147
  • Developmental and Educational Psychology 96
Replace Alana Foley with:
Alana Foley United States
Krzysztof Cipora Germany
Congying Sun United States
Hans-Christoph Nuerk Germany
Ulf Träff Sweden
Caroline Hornung Luxembourg
Xiujie Yang China
Ineke Imbo Belgium
Alena G. Esposito United States
Marcie Penner‐Wilger Canada
Hyesang Chang relative to Alana Foley United States Alana Foley's profile →
Citations per field
00.5×6.5×
Alana Foley · 1×
Citations per year

Countries citing papers authored by Hyesang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hyesang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyesang Chang

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 1
5 11
6 3
7 6
8 23
9 7
10 13
11 12
12 10
13 151
14 258
15 9
16 17

About Hyesang Chang

Hyesang Chang is a scholar working on Statistics and Probability, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 16 papers that have together received 526 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (12 papers), Neuroscience, Education and Cognitive Function (6 papers) and Education, Achievement, and Giftedness (4 papers). The work is most often cited by research in Statistics and Probability (209 citations), Experimental and Cognitive Psychology (270 citations) and Education (224 citations). Hyesang Chang has collaborated with scholars based in United States, France and China. Frequent co-authors include Sian L. Beilock, Erin A. Maloney, Gerardo Ramirez, Susan C. Levine, Vinod Menon, John O. Brooks, Janet M. Gibson, Yuan Zhang, Shaozheng Qin and Miriam Rosenberg‐Lee. Their work appears in journals such as Science Advances, eLife and The American Journal of Psychology.

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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