Dawei Yang

20 papers receiving 354 citations

Peers

Dawei Yang
Comparison fields: 5 of 80
  • Computer Graphics and Computer-Aided Design 17
  • Computer Vision and Pattern Recognition 94
  • Aerospace Engineering 113
  • Mechanical Engineering 153
  • General Materials Science 4
Replace Laihua Wang with:
Laihua Wang China
Young-Won Kim South Korea
Yupeng Li China
Attila Szabó Hungary
Zheng Geng China
Changhao Wang United States
Jonathan Bruce United States
Daniele De Gregorio Italy
Dawei Yang relative to Laihua Wang China Laihua Wang's profile →
Citations per field
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Laihua Wang · 1×
Citations per year

Countries citing papers authored by Dawei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201748
3 202347
4 201640
5 202330
6 202426
7 202324
8 202323
9 202218
10 20239
11 20238
12 20125
13 20244
14 20242
15 20222
16 20221
17 20251
18 20241
19 20241
20 20241

About Dawei Yang

Dawei Yang is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, having authored 23 papers that have together received 361 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (2 papers), Advanced Welding Techniques Analysis (2 papers), 3D Shape Modeling and Analysis (2 papers), Fire Detection and Safety Systems (2 papers), IoT-based Smart Home Systems (2 papers), Aluminum Alloy Microstructure Properties (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (17 citations), Computer Vision and Pattern Recognition (94 citations), Aerospace Engineering (113 citations), Mechanical Engineering (153 citations) and General Materials Science (4 citations). Dawei Yang has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Jian Yang, Jihua Huang, Shuhai Chen, Xingke Zhao, Tianzhu Zhang, Jianfeng He, Luyang Zhu, Ira Kemelmacher-Shlizerman, Chitwan Saharia and Tyler Zhu. Their work appears in journals such as Chinese Journal of Chemistry, International Journal of Surgery, International journal of agricultural and biological engineering, Food Research International and The International Journal of Advanced Manufacturing Technology.

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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