Ruiming Wang

1.3k citations
82 papers · 849 · h-index 19

Impact in

Papers in

Ruiming Wang

73 papers receiving 831 citations

Peers

Ruiming Wang
Comparison fields: 5 of 64
  • Cognitive Neuroscience 582
  • Developmental and Educational Psychology 365
  • Experimental and Cognitive Psychology 300
  • Statistics and Probability 64
  • Social Psychology 120
Replace Nicole Y.Y. Wicha with:
Nicole Y.Y. Wicha United States
Chia‐Lin Lee Taiwan
Andriy Myachykov United Kingdom
Rachel R.W. Robertson United States
Audrey K. Kittredge United States
Dino Chincotta United Kingdom
Guy Dove United States
William H. Levine United States
Jan-Rouke Kuipers United Kingdom
Hanako Yoshida United States
Ruiming Wang relative to Nicole Y.Y. Wicha United States Nicole Y.Y. Wicha's profile →
Citations per field
00.5×2.8×
Nicole Y.Y. Wicha · 1×
Citations per year

Countries citing papers authored by Ruiming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201936
3 201833
4 201931
5 201429
6 201928
7 201927
8 202026
9 201826
10 201726
11 201526
12 201426
13 201426
14 201823
15 201922
16 200822
17 202120
18 201419
19 201718
20 201617

About Ruiming Wang

Ruiming Wang is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Social Psychology and Education, having authored 82 papers that have together received 849 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (40 papers), Reading and Literacy Development (28 papers), Language, Metaphor, and Cognition (16 papers), Action Observation and Synchronization (13 papers), Neuroscience and Music Perception (12 papers), Multisensory perception and integration (9 papers), Language Development and Disorders (9 papers) and Neural and Behavioral Psychology Studies (8 papers). The work is most often cited by research in Cognitive Neuroscience (582 citations), Developmental and Educational Psychology (365 citations), Experimental and Cognitive Psychology (300 citations), Statistics and Probability (64 citations) and Social Psychology (120 citations). Ruiming Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhenguang G. Cai, Cong Liu, Ping Li, Lu Jiao, Shuting Huang, Jing Yang, Guosheng Ding, Le Li, Kalinka Timmer and Song Chang. Their work appears in journals such as Frontiers in Psychology, International Journal of Bilingualism, Neuropsychologia, Quarterly Journal of Experimental Psychology 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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