Lin Wang

3.4k citations
164 papers · 1.9k · 2 hit papers · h-index 23

Impact in

Papers in

Lin Wang

144 papers receiving 1.9k citations

Lin Wang's Hit Papers

All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda 2024 · 60 citations
600+1+2Years since publication255075100

Peers

Lin Wang
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 554
  • Acoustics and Ultrasonics 16
  • Computer Graphics and Computer-Aided Design 56
  • Media Technology 137
  • Signal Processing 122
Replace Yang Gao with:
Yang Gao China
Shuai Li China
Xiaolong Wang China
Hongyuan Wang China
Yang Hu China
Xin Liao China
Hakil Kim South Korea
Y. Jay Guo Australia
Liang Pan China
Chaoyue Wang China
Lin Wang relative to Yang Gao China Yang Gao's profile →
Citations per field
00.5×
Yang Gao · 1×
Citations per year

Countries citing papers authored by Lin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017140
2
Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges
Hit paper breakdown →
2023112
3 201080
4 202073
5 201370
6
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda
Hit paper breakdown →
202460
7 202158
8 202056
9 202152
10 201551
11 201351
12 202350
13 202342
14 201140
15 202140
16 201139
17 201535
18 202334
19 202231
20 202227

About Lin Wang

Lin Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 164 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (20 papers), Advanced Image Processing Techniques (20 papers), Advanced Neural Network Applications (19 papers), Domain Adaptation and Few-Shot Learning (13 papers), Image Enhancement Techniques (12 papers), Advanced Memory and Neural Computing (10 papers), Multimodal Machine Learning Applications (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (554 citations), Acoustics and Ultrasonics (16 citations), Computer Graphics and Computer-Aided Design (56 citations), Media Technology (137 citations) and Signal Processing (122 citations). Lin Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kuk‐Jin Yoon, Tae‐Kyun Kim, Ning Wang, Chao Zhu, Aiguo Li, Defeng Wu, Yantao Shi, Xin Gu, Hong Li and Liang Han. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports, IEEE Transactions on Artificial Intelligence, Pattern Recognition and Information Sciences.

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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