Yu Hua

411 total citations
18 papers, 255 citations indexed

About

Yu Hua is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yu Hua has authored 18 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yu Hua's work include Functional Brain Connectivity Studies (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Thermal properties of materials (2 papers). Yu Hua is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Thermal properties of materials (2 papers). Yu Hua collaborates with scholars based in China, United States and Canada. Yu Hua's co-authors include Jiayuan Li, Hong‐zhen Lian, Wei Gao, Xiaohong Ma, Tao Li, Wei Deng, Yinfei Li, Yajing Meng, Mingli Li and Xiaojing Li and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Analytical Chemistry.

In The Last Decade

Yu Hua

16 papers receiving 249 citations

Peers

Yu Hua
Comparison fields: 5 of 72
  • Cognitive Neuroscience 102
  • Radiology, Nuclear Medicine and Imaging 70
  • Psychiatry and Mental health 50
  • Molecular Biology 48
  • Spectroscopy 32
Replace Sergey Cheshkov with:
Sergey Cheshkov United States
Runtang Wang United States
Warda Syeda Australia
Mustafa Çavuşoğlu Switzerland
Xinyu Wu China
Yue Pan United States
Emma Bluemke United Kingdom
Richard Stacey United Kingdom
Tzu Cheng Chao Taiwan
Jenna M. Sullivan United States
Sergey Cheshkov United States View profile →
Citations per field, relative to Yu Hua
Yu Hua · 1×
Citations per year, relative to Yu Hua
Yu Hua · 1×

Countries citing papers authored by Yu Hua

Since Specialization
Citations

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

Fields of papers citing papers by Yu Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Hua. A scholar is included among the top collaborators of Yu Hua 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 Yu Hua. Yu Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 2
5 2
6 0
7 1
8 1
9 4
10 15
11 4
12 20
13 10
14 37
15 33
16 30
17 18
18 76

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

Rankless by CCL
2026