Hui Dai

2.7k citations
107 papers · 1.8k indexed · h-index 22

Impact in

Papers in

Hui Dai

93 papers receiving 1.8k citations

Peers

Hui Dai
Comparison fields: 5 of 151
  • Ophthalmology 247
  • Modeling and Simulation 116
  • Radiology, Nuclear Medicine and Imaging 339
  • Pulmonary and Respiratory Medicine 378
  • Neurology 91
Replace Qingmao Hu with:
Qingmao Hu China
Tatsuo Togawa Japan
Samiappan Dhanalakshmi India
Ahmed Elazab China
Junxia Zhang China
Mohammed Ghazal United Arab Emirates
Wan Chen China
Sang Won Yoon South Korea
Fırat Hardalaç Türkiye
Gözde Ünal Türkiye
Hui Dai relative to Qingmao Hu China Qingmao Hu's profile →
Citations per field
00.5×6.7×
Qingmao Hu · 1×
Citations per year

Countries citing papers authored by Hui Dai

Since Specialization
Citations

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

Fields of papers citing papers by Hui Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20247
4 20241
5 20240
6 20243
7 20240
8 20242
9 20230
10 20233
11 20218
12 202117
13 202015
14 202020
15 20209
16 20204
17 20193
18
Target Detection Method Based on Convolutional Neural Network for SAR Image
201617
19
CALCULATION OF WIND FARM PENETRATION BASED ON POWER SYSTEM TRANSIENT STABILITY ANALYSIS
200214
20
Recent developments in buckling of structures : presented at the Winter Annual Meeting of the American Society of Mechanical Engineers, San Francisco, California, December 10-15, 1989
19891

About Hui Dai

Hui Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Hardware and Architecture, Energy Engineering and Power Technology, Cognitive Neuroscience and Neurology, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Advanced Neuroimaging Techniques and Applications (9 papers), VLSI and FPGA Design Techniques (7 papers), Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), VLSI and Analog Circuit Testing (6 papers) and Supercapacitor Materials and Fabrication (6 papers). The work is most often cited by research in Ophthalmology (247 citations), Modeling and Simulation (116 citations), Radiology, Nuclear Medicine and Imaging (339 citations), Pulmonary and Respiratory Medicine (378 citations) and Neurology (91 citations). Hui Dai has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Bin Zhao, Lan Du, Yan Wang, Zhaocheng Wang, Yonggang Li, John N. Morelli, Dazhi Yin, Dongrong Xu, Chunhong Hu and Ketao Mu. Their work appears in journals such as Neuroradiology, Building Simulation, Energies, IEEE Geoscience and Remote Sensing Letters and International Journal of Infectious Diseases.

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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