Liuhui Wang

19 papers receiving 254 citations

Peers

Liuhui Wang
Comparison fields: 5 of 83
  • Geology 53
  • Computer Graphics and Computer-Aided Design 22
  • Computational Mechanics 75
  • Computer Vision and Pattern Recognition 68
  • Dermatology 20
Replace Halim Benhabiles with:
Halim Benhabiles France
Cho-Ying Wu United States
Tanmay Gupta United States
Gusi Te China
Amin Zheng Hong Kong
Khoi Nguyen Vietnam
Zhaoyang Lyu China
Paulo Cezar Pinto Carvalho Brazil
Zizheng Yan China
Tai Wang Hong Kong
Liuhui Wang relative to Halim Benhabiles France Halim Benhabiles's profile →
Citations per field
00.5×5.3×
Halim Benhabiles · 1×
Citations per year

Countries citing papers authored by Liuhui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liuhui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202372
2 202354
3 202215
4 202013
5 202310
6 202110
7 202310
8 201910
9 20219
10 20239
11 20188
12 20217
13 20236
14 20205
15 20145
16 20255
17 20233
18 20203
19 20192
20 20250

About Liuhui Wang

Liuhui Wang is a scholar working on Dermatology, Information Systems, Computational Mechanics, Artificial Intelligence and Automotive Engineering, having authored 21 papers that have together received 256 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (5 papers), 3D Shape Modeling and Analysis (3 papers), Computer Graphics and Visualization Techniques (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Recommender Systems and Techniques (2 papers), Advanced Bandit Algorithms Research (2 papers), 3D Surveying and Cultural Heritage (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Geology (53 citations), Computer Graphics and Computer-Aided Design (22 citations), Computational Mechanics (75 citations), Computer Vision and Pattern Recognition (68 citations) and Dermatology (20 citations). Liuhui Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Renrui Zhang, Hongsheng Li, Peng Gao, Yu Qiao, Jianbo Shi, Yali Wang, Weili Yan, Wenjie Wang, Fuli Feng and Xinyu Lin. Their work appears in journals such as Pediatric Allergy and Immunology, The Journal of Dermatology, Pediatric Research, SAE technical papers on CD-ROM/SAE technical paper series and Clinical and Translational Allergy.

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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