Yadan Li

2.2k citations
93 papers · 1.4k · h-index 20

Impact in

Papers in

Yadan Li

86 papers receiving 1.4k citations

Peers

Yadan Li
Comparison fields: 5 of 144
  • Experimental and Cognitive Psychology 316
  • Cognitive Neuroscience 310
  • Neurology 87
  • Immunology 131
  • Applied Psychology 29
Replace Ruth Seurinck with:
Ruth Seurinck Belgium
Jennifer L. Stevenson United States
Ying Zhu China
Xingchao Wang China
Nicole Petersen United States
Simon Girard Canada
Dan Hasson United States
Hirohito M. Kondo Japan
Peter Mulders Netherlands
Hiroki Sasaki Japan
Yadan Li relative to Ruth Seurinck Belgium Ruth Seurinck's profile →
Citations per field
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Ruth Seurinck · 1×
Citations per year

Countries citing papers authored by Yadan Li

Since Specialization
Citations

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

Fields of papers citing papers by Yadan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202297
2 201685
3 202174
4 202164
5 201562
6 201860
7 201560
8 202052
9 201449
10 202148
11 201645
12 201741
13 202033
14 202032
15 202229
16 201927
17 201423
18 201222
19 202121
20 201320

About Yadan Li

Yadan Li is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Creativity in Education and Neuroscience (30 papers), Neural and Behavioral Psychology Studies (18 papers), Mind wandering and attention (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Perfectionism, Procrastination, Anxiety Studies (6 papers), Mental Health Research Topics (5 papers), Functional Brain Connectivity Studies (5 papers) and S100 Proteins and Annexins (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (316 citations), Cognitive Neuroscience (310 citations), Neurology (87 citations), Immunology (131 citations) and Applied Psychology (29 citations). Yadan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiang Qiu, Dongtao Wei, Weiping Hu, Xiaoying Wang, Ning Liu, Yinghua Jiang, Wenjing Yang, Qunlin Chen, Qinglin Zhang and Rongqun Guo. Their work appears in journals such as Creativity Research Journal, Journal of Neurolinguistics, Neuropsychologia, Frontiers in Psychology and Brain and Behavior.

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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