Hao Cui

735 citations
30 papers · 491 · h-index 9

Impact in

Papers in

Hao Cui

24 papers receiving 481 citations

Peers

Hao Cui
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 233
  • Aerospace Engineering 172
  • Mechanical Engineering 169
  • Media Technology 33
  • Signal Processing 36
Replace Gabriel Fernàndez with:
Gabriel Fernàndez Spain
Liping Shao China
Yafeng Wang China
Siqian Yang China
P. Ramana Reddy India
Bo Fu China
Zahra Ahmadian Iran
Wanqing Tu United Kingdom
Shaoqing Xu China
Sumit Ray United States
Hao Cui relative to Gabriel Fernàndez Spain Gabriel Fernàndez's profile →
Citations per field
00.5×10×20×34.5×
Gabriel Fernàndez · 1×
Citations per year

Countries citing papers authored by Hao Cui

Since Specialization
Citations

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

Fields of papers citing papers by Hao Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018127
2 201588
3 202069
4 201558
5 201946
6 201636
7 201914
8 202110
9 20239
10 20176
11 20235
12 20234
13 20183
14
A 0.18μm Transmitter and Receiver with High Speed and Low Power
20082
15 20232
16 20242
17 20202
18 20241
19 20181
20 20251

About Hao Cui

Hao Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Information Systems and Mechanical Engineering, having authored 30 papers that have together received 491 indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Recommender Systems and Techniques (3 papers), Aluminum Alloy Microstructure Properties (3 papers), Advanced Graph Neural Networks (3 papers), Inertial Sensor and Navigation (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Microstructure and mechanical properties (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (233 citations), Aerospace Engineering (172 citations), Mechanical Engineering (169 citations), Media Technology (33 citations) and Signal Processing (36 citations). Hao Cui has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Nenghai Yu, Weiming Zhang, Han Fang, Hang Zhou, Xiao Yan Liu, Fei Gao, Shun Liang, Wenbo Zhou, Jie Zhang and Dongdong Chen. Their work appears in journals such as Journal of Alloys and Compounds, Seismological Research Letters, Information Sciences, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Semiconductors.

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.

Explore authors with similar magnitude of impact