Eric Wang

27 papers receiving 355 citations

Peers

Eric Wang
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 84
  • Energy Engineering and Power Technology 12
  • Environmental Engineering 49
  • Media Technology 20
  • Electrical and Electronic Engineering 116
Replace Kehua Li with:
Kehua Li China
Lihua Hu China
Andrew McCabe United Kingdom
Stéphane Thil France
Xiaodi Zhang China
Müge Kömürcü United States
Qing Song United States
Branislav M. Todorović Serbia
Agnieszka E. Piotrowska Poland
Eric Wang relative to Kehua Li China Kehua Li's profile →
Citations per field
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Kehua Li · 1×
Citations per year

Countries citing papers authored by Eric Wang

Since Specialization
Citations

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

Fields of papers citing papers by Eric Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201098
2 201856
3 202149
4 201837
5 201915
6 201814
7 201712
8 201812
9 202411
10 20128
11 20207
12 20167
13 20227
14 20246
15 20115
16 20114
17 20094
18 20114
19 20233
20
Turbulence-Driven Magnetic Reconnection
20093

About Eric Wang

Eric Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Astronomy and Astrophysics, having authored 29 papers that have together received 372 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Astro and Planetary Science (3 papers), Advanced Image Processing Techniques (3 papers), Geomagnetism and Paleomagnetism Studies (3 papers), Image Enhancement Techniques (3 papers), Human Pose and Action Recognition (2 papers), Planetary Science and Exploration (2 papers) and Soil Moisture and Remote Sensing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (84 citations), Energy Engineering and Power Technology (12 citations), Environmental Engineering (49 citations), Media Technology (20 citations) and Electrical and Electronic Engineering (116 citations). Eric Wang has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Wei Xiang, Si‐Chen Lee, Falin Chen, Shyi-Min Lu, Md. Masud Rana, Kang Han, Xuehua Li, Tao Huang, Bong Jun Choi and Allan Lee. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, IEEE Internet of Things Journal, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Intelligent Transportation Systems.

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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