Xiangjun Dai

1.1k citations
53 papers · 889 · h-index 17

Impact in

Papers in

Xiangjun Dai

51 papers receiving 865 citations

Peers

Xiangjun Dai
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 465
  • Media Technology 177
  • Civil and Structural Engineering 182
  • Geology 45
  • Mechanics of Materials 153
Replace Timothy Schmidt with:
Timothy Schmidt United States
Abdelhakim Bendada Canada
Steven Cooreman Belgium
Kai Zhong China
Jibin Zhao China
Yongjie Zhao China
Kongjing Li United Kingdom
Zhaoyao Shi China
І. V. Konovalenko Ukraine
František Trebuňa Slovakia
Xiangjun Dai relative to Timothy Schmidt United States Timothy Schmidt's profile →
Citations per field
00.5×6.5×
Timothy Schmidt · 1×
Citations per year

Countries citing papers authored by Xiangjun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiangjun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015137
2 2016119
3 201661
4 198440
5 202037
6 201437
7 201828
8 198628
9 201528
10 201526
11 202225
12 202422
13 202421
14 201120
15 201918
16 202218
17 202017
18 202216
19 201316
20 201915

About Xiangjun Dai

Xiangjun Dai is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering and Media Technology, having authored 53 papers that have together received 889 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (26 papers), Image Processing Techniques and Applications (11 papers), Structural Health Monitoring Techniques (10 papers), Mechanical Behavior of Composites (8 papers), Advanced Measurement and Detection Methods (8 papers), High-Velocity Impact and Material Behavior (5 papers), Advanced Vision and Imaging (5 papers) and Cellular and Composite Structures (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (465 citations), Media Technology (177 citations), Civil and Structural Engineering (182 citations), Geology (45 citations) and Mechanics of Materials (153 citations). Xiangjun Dai has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Xinxing Shao, Xiaoyuan He, Zhenning Chen, Fujun Yang, Robert J. Bache, Xiangmeng Cheng, Hai Yun, Yuntong Dai, Shuai Dong and Fujun Yang. Their work appears in journals such as Optics and Lasers in Engineering, Polymer Composites, Measurement, Optics Communications and Optical Engineering.

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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