Miao Wei

534 citations
27 papers · 381 · h-index 13

Impact in

Papers in

Miao Wei

24 papers receiving 375 citations

Peers

Miao Wei
Comparison fields: 5 of 60
  • Developmental and Educational Psychology 144
  • Cognitive Neuroscience 194
  • Neurology 97
  • Statistics and Probability 22
  • Experimental and Cognitive Psychology 32
Replace Ryuta Kinno with:
Ryuta Kinno Japan
Eukyung Yhang United States
Maxime Maheu France
Yelda Alkan United States
Renhua Wu China
J Reinhard Germany
Dana Boatman‐Reich United States
Aparna Raghuram United States
Katherine S. Aboud United States
Bjørn Karlsen Norway
Miao Wei relative to Ryuta Kinno Japan Ryuta Kinno's profile →
Citations per field
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Citations per year

Countries citing papers authored by Miao Wei

Since Specialization
Citations

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

Fields of papers citing papers by Miao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202043
2 201541
3 201539
4 201332
5 201531
6 201828
7 201427
8 201423
9 201819
10 200817
11 201416
12
Multi-interval wind speed forecast model based on improved spatial correlation and RBF neural network
200915
13 201213
14 20218
15 20216
16 20205
17 20224
18 20083
19 20223
20 20222

About Miao Wei

Miao Wei is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 27 papers that have together received 381 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (8 papers), Reading and Literacy Development (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Anatomy and Medical Technology (2 papers), Protein Hydrolysis and Bioactive Peptides (1 paper) and Neuroscience and Music Perception (1 paper). The work is most often cited by research in Developmental and Educational Psychology (144 citations), Cognitive Neuroscience (194 citations), Neurology (97 citations), Statistics and Probability (22 citations) and Experimental and Cognitive Psychology (32 citations). Miao Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gui Xue, Qinghua He, Leilei Mei, Chuansheng Chen, Zhong-Lin Lu, Qi Dong, Mingxia Zhang, Feng Xue, Fajin Lv and Rui Li. Their work appears in journals such as NeuroImage, Neurocritical Care, International Journal of Gynecology & Obstetrics, Frontiers in Immunology and PLoS ONE.

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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