Hang Dai

2.4k total citations · 1 hit paper
74 papers, 1.1k citations indexed

About

Hang Dai is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Building and Construction. According to data from OpenAlex, Hang Dai has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 11 papers in Civil and Structural Engineering and 11 papers in Building and Construction. Recurrent topics in Hang Dai's work include 3D Shape Modeling and Analysis (10 papers), Structural Behavior of Reinforced Concrete (9 papers) and Face recognition and analysis (8 papers). Hang Dai is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Structural Behavior of Reinforced Concrete (9 papers) and Face recognition and analysis (8 papers). Hang Dai collaborates with scholars based in China, United Kingdom and United Arab Emirates. Hang Dai's 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 and has published in prestigious journals such as Science, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Hang Dai

65 papers receiving 1.1k citations

Hit Papers

Feature Shrinkage Pyramid for Camouflaged Object Detectio... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hang Dai China 18 651 173 129 120 83 74 1.1k
Jiang Yu Zheng United States 19 972 1.5× 183 1.1× 66 0.5× 118 1.0× 47 0.6× 117 1.3k
Xiaolong Zhou China 17 379 0.6× 110 0.6× 106 0.8× 137 1.1× 23 0.3× 107 1.0k
Lijun Zhang China 17 249 0.4× 131 0.8× 94 0.7× 40 0.3× 86 1.0× 95 993
Michael Donoser Austria 16 1000 1.5× 206 1.2× 67 0.5× 127 1.1× 29 0.3× 60 1.3k
Wei Tian China 17 663 1.0× 307 1.8× 49 0.4× 203 1.7× 23 0.3× 98 1.2k
Adam Herout Czechia 20 1.0k 1.6× 312 1.8× 54 0.4× 131 1.1× 36 0.4× 74 1.4k
Diana‐Margarita Córdova‐Esparza Mexico 9 543 0.8× 181 1.0× 22 0.2× 113 0.9× 98 1.2× 40 1.4k
Peng Song China 20 414 0.6× 92 0.5× 429 3.3× 55 0.5× 77 0.9× 85 1.4k
Lapo Governi Italy 19 304 0.5× 90 0.5× 162 1.3× 36 0.3× 71 0.9× 112 1.3k
Yan Song China 21 851 1.3× 178 1.0× 51 0.4× 426 3.5× 57 0.7× 87 1.6k

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
1.
Kaul, Chaitanya, et al.. (2024). IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution. Sensors. 25(1). 24–24.
2.
Yang, Weirong, et al.. (2024). State-of-charge estimation based on improved back-propagation neural network for lithium-ion batteries in energy storage power stations. Archives of Electrical Engineering. 977–997. 1 indexed citations
3.
Torres, Renato Amorim, et al.. (2024). Analysis of Pulsating High-Frequency Injection Self-Sensing Control for CSI PM Motor Drives. IEEE Transactions on Power Electronics. 40(3). 4345–4357.
4.
Chen, Geng, Jie Qin, Boulbaba Ben Amor, et al.. (2023). Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Transactions on Medical Imaging. 42(11). 3194–3204. 3 indexed citations
5.
Liu, Yajin, et al.. (2023). Optimal Allocation of Shared Energy Storage Based on Cooperative Game Theory. 184. 833–837. 1 indexed citations
6.
Hu, Xiaobin, Shuo Wang, Xuebin Qin, et al.. (2023). High-Resolution Iterative Feedback Network for Camouflaged Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 881–889. 84 indexed citations
8.
Wang, Jinggang, Fei Liu, Hang Dai, et al.. (2023). Synthesis of bio-based poly(ester-ether) elastomers from 2,5-furandicarboxylic acid (FDCA) with excellent thermo-mechanical properties. Polymer Degradation and Stability. 210. 110292–110292. 19 indexed citations
9.
Hussain, Tanveer, et al.. (2022). UAV-based Multi-scale Features Fusion Attention for Fire Detection in Smart City Ecosystems. Edge Hill University Research Information Repository (Edge Hill University). 1–4. 12 indexed citations
10.
Duncan, Christian A., et al.. (2022). Applications of 3D Photography in Craniofacial Surgery. Journal of Pediatric Neurosciences. 17(Suppl 1). S21–S28. 11 indexed citations
11.
Dai, Hang, Ping Wang, Jimei Zhang, & Li Luo. (2022). Comment on “Comparison of different versions of the quick sequential organ failure assessment for predicting in-hospital mortality of sepsis patients”. World Journal of Emergency Medicine. 13(2). 160–160.
12.
Zhang, Huafang, Feng Guo, Mengling Tang, et al.. (2020). Association between Skeletal Muscle Strength and Dysphagia among Chinese Community-Dwelling Elderly Adults. The journal of nutrition health & aging. 24(6). 642–649. 17 indexed citations
13.
Mu, Dejun, et al.. (2018). Expede Herculem: Learning Multi Labels From Single Label. IEEE Access. 6. 61410–61418. 1 indexed citations
14.
Yang, Libin, Yu Zheng, Xiaoyan Cai, et al.. (2018). A LSTM Based Model for Personalized Context-Aware Citation Recommendation. IEEE Access. 6. 59618–59627. 62 indexed citations
15.
Dai, Hang, et al.. (2015). A Literature Review of Stochastic Programming and Unit Commitment. Journal of Power and Energy Engineering. 3(4). 206–214. 34 indexed citations
16.
Ding, Yong, Hang Dai, & Hang Zhang. (2014). Automatic detection of microcalcifications with multi-fractal spectrum. Bio-Medical Materials and Engineering. 24(6). 3049–3054. 4 indexed citations
17.
Wang, Shaoze, Yong Ding, Hang Dai, et al.. (2014). Generalized relative quality assessment scheme for reconstructed medical images. Bio-Medical Materials and Engineering. 24(6). 2865–2873.
18.
Hubbard, Basil P., Hang Dai, April Case, et al.. (2013). Evidence for a Common Mechanism of SIRT1 Regulation by Allosteric Activators. Science. 339(6124). 1216–1219. 20 indexed citations
19.
Dai, Hang, et al.. (2013). A Novel Fault Diagnosis Method for Rolling Element Bearings Using Kernel Independent Component Analysis and Genetic Algorithm Optimized RBF Network. Research Journal of Applied Sciences Engineering and Technology. 6(5). 895–899. 5 indexed citations
20.
Zhou, An, Hang Dai, & Qiwei Liu. (2009). Experimental study of the structural behavior of the negative bending zone of steel box-prestressed concrete composite beams. 42(12). 69–75.

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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