Wu Wang

1.5k citations
42 papers · 968 · h-index 14

Impact in

Papers in

Wu Wang

41 papers receiving 941 citations

Peers

Wu Wang
Comparison fields: 5 of 95
  • Media Technology 338
  • Computer Vision and Pattern Recognition 303
  • Artificial Intelligence 154
  • Renewable Energy, Sustainability and the Environment 76
  • Electrical and Electronic Engineering 257
Replace Haiyan Shi with:
Haiyan Shi China
Wenlong Song China
Ching-Chun Huang Taiwan
Jintao Li China
Hongyuan Wang China
Meiling Xu China
Shuping Zhao China
Jiaqi Ji China
Lei Feng China
Wu Wang relative to Haiyan Shi China Haiyan Shi's profile →
Citations per field
00.5×1.6×
Haiyan Shi · 1×
Citations per year

Countries citing papers authored by Wu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019143
2 2020123
3 2020121
4 201997
5 202080
6 202148
7 202143
8 202042
9 202241
10 202234
11 202328
12 202425
13 202325
14 202415
15 201911
16 201411
17 20248
18 20247
19 20227
20 20096

About Wu Wang

Wu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering and Biomedical Engineering, having authored 42 papers that have together received 968 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (7 papers), Image Enhancement Techniques (6 papers), Remote-Sensing Image Classification (6 papers), Image and Signal Denoising Methods (5 papers), Image Processing Techniques and Applications (3 papers), Privacy-Preserving Technologies in Data (3 papers), Advanced Vision and Imaging (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Media Technology (338 citations), Computer Vision and Pattern Recognition (303 citations), Artificial Intelligence (154 citations), Renewable Energy, Sustainability and the Environment (76 citations) and Electrical and Electronic Engineering (257 citations). Wu Wang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Fouzi Harrou, Ying Sun, Yue Huang, Xinghao Ding, Junho Lee, John Paisley, Xueyang Fu, Weihong Zeng, Jingfeng Wang and Yuyan Liu. Their work appears in journals such as Advanced Composites and Hybrid Materials, IEEE Transactions on Neural Networks and Learning Systems, Information Fusion, Information Sciences and Energy Conversion and Management.

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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