Hang Dai

2.4k citations
74 papers · 1.1k indexed · 1 hit paper · h-index 18
Topics
3D Shape Modeling and Analysis (10 papers)Structural Behavior of Reinforced Concrete (9 papers)Face recognition and analysis (8 papers)

In The Last Decade

Hang Dai

65 papers receiving 1.1k citations

Hit Papers

Feature Shrinkage Pyramid for Camouflaged Object Detectio...20232026202420252023255075100

Peers

Hang Dai
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 651
  • Aerospace Engineering 173
  • Computational Mechanics 129
  • Artificial Intelligence 120
  • Civil and Structural Engineering 83
Replace Wei Tian with:
Wei Tian China
Peter Veelaert Belgium
Lijun Zhang China
Zhaoqi Wang China
Jiang Yu Zheng United States
Keyu Wu Singapore
David Navarro-Alarcón Hong Kong
Linjie Yang China
Daisuke Deguchi Japan
Monica Carfagni Italy
Hang Dai relative to Wei Tian China Wei Tian's profile →
Citations per field
00.5×3.6×
Wei Tian · 1×
Citations per year

Countries citing papers authored by Hang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Hang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Dai. A scholar is included among the top collaborators of Hang Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hang Dai. Hang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 3
5 1
6 84
7 1
8 19
9 12
10 11
11 0
12 17
13 1
14 62
15 34
16 4
17 0
18 20
19 5
20
Experimental study of the structural behavior of the negative bending zone of steel box-prestressed concrete composite beams
0

About Hang Dai

Hang Dai is a scholar working on General Engineering, Computer Vision and Pattern Recognition and Building and Construction, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (10 papers), Structural Behavior of Reinforced Concrete (9 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (651 citations), Aerospace Engineering (173 citations) and Geology (35 citations). Hang Dai has collaborated with scholars based in China, United Kingdom and United Arab Emirates. Frequent co-authors include Yong Ding, Ling Shao, Nick Pears, William A. P. Smith, Christian A. Duncan, Jiale Li, Shuo Wang, Sohail Ahmed Khan, Tian-Zhu Xiang and Huaixin Chen. Their work appears in journals such as Science, IEEE Transactions on Power Electronics and IEEE Access.

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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