Hewei Wang

503 citations
22 papers · 322 · 1 hit paper · h-index 8

Impact in

Papers in

Hewei Wang

18 papers receiving 303 citations

Hewei Wang's Hit Papers

A predictive analytics approach for stroke prediction using machine learning and neural networks 2022 · 144 citations
1440+1+2Years since publication4080120

Peers

Hewei Wang
Comparison fields: 5 of 74
  • Health Information Management 72
  • Neurology 39
  • Health Informatics 5
  • Epidemiology 63
  • Biomedical Engineering 69
Replace Ondřej Svoboda with:
Ondřej Svoboda Czechia
Konstantin Simonov Russia
Binbing Wang China
Zehui Lin China
Hyungyu Lee South Korea
Jiansen Guo China
Ashutosh Richhariya India
Amit Krishna Dwivedi India
Hengli Zhang China
Doaa Youssef Egypt
Hewei Wang relative to Ondřej Svoboda Czechia Ondřej Svoboda's profile →
Citations per field
00.5×10×12.6×
Ondřej Svoboda · 1×
Citations per year

Countries citing papers authored by Hewei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hewei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A predictive analytics approach for stroke prediction using machine learning and neural networks
Hit paper breakdown →
2022144
2 201456
3 201437
4 202212
5 20179
6 20218
7 20247
8 20227
9 20157
10 20217
11 20236
12 20225
13 20175
14 20244
15 20252
16 20232
17 20142
18 20251
19 20231
20 20250

About Hewei Wang

Hewei Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Information Systems and Materials Chemistry, having authored 22 papers that have together received 322 indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (3 papers), Advanced Vision and Imaging (3 papers), Acoustic Wave Resonator Technologies (3 papers), Recommender Systems and Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Enhancement Techniques (2 papers), Photorefractive and Nonlinear Optics (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Health Information Management (72 citations), Neurology (39 citations), Health Informatics (5 citations), Epidemiology (63 citations) and Biomedical Engineering (69 citations). Hewei Wang has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Soumyabrata Dev, Bharadwaj Veeravalli, Deepu John, Fapeng Yu, Xian Zhao, Shujun Zhang, Qingming Lu, Xiufeng Cheng, Feifei Chen and Zhengping Wang. Their work appears in journals such as Journal of Alloys and Compounds, Journal of Materials Chemistry C, Displays, The International Journal of Advanced Manufacturing Technology and CrystEngComm.

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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