Meihao Wang

1.3k citations
52 papers · 900 · h-index 16

Impact in

Papers in

Meihao Wang

49 papers receiving 891 citations

Peers

Meihao Wang
Comparison fields: 5 of 92
  • Health Informatics 32
  • Radiology, Nuclear Medicine and Imaging 396
  • Artificial Intelligence 219
  • Neurology 47
  • Neurology 70
Replace Hidetaka Arimura with:
Hidetaka Arimura Japan
Fernando Pérez‐García United Kingdom
David Clunie United States
Jiejie Zhou China
Qiang Zheng China
Luke Macyszyn United States
Jiahong Ouyang United States
Zhoubing Xu United States
Youngjin Yoo Canada
Alfiia Galimzianova United States
Meihao Wang relative to Hidetaka Arimura Japan Hidetaka Arimura's profile →
Citations per field
00.5×1.5×2.1×
Hidetaka Arimura · 1×
Citations per year

Countries citing papers authored by Meihao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meihao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019171
2 2020103
3 201876
4 201769
5 202355
6 202038
7 202333
8 202227
9 200924
10 201924
11 201822
12 202022
13 202316
14 202016
15 202115
16 202115
17 201813
18 202212
19 201912
20 202111

About Meihao Wang

Meihao Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Cognitive Neuroscience, Neurology and Surgery, having authored 52 papers that have together received 900 indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (11 papers), MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Alzheimer's disease research and treatments (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (396 citations), Artificial Intelligence (219 citations), Neurology (47 citations) and Neurology (70 citations). Meihao Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jiejie Zhou, Min‐Ying Su, Yang Zhang, Yezhi Lin, Jiance Li, Zhifang Pan, Peter Chang, Daniel Chow, Jeon‐Hor Chen and Rita S. Mehta. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Frontiers in Oncology, European Radiology, Brain Imaging and Behavior and Clinical Breast Cancer.

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.

Explore authors with similar magnitude of impact