Hua Yang

5.2k total citations · 1 hit paper
218 papers, 2.9k citations indexed

About

Hua Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Hua Yang has authored 218 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 33 papers in Cognitive Neuroscience. Recurrent topics in Hua Yang's work include Video Surveillance and Tracking Methods (24 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Advanced Neural Network Applications (15 papers). Hua Yang is often cited by papers focused on Video Surveillance and Tracking Methods (24 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Advanced Neural Network Applications (15 papers). Hua Yang collaborates with scholars based in China, United Kingdom and United States. Hua Yang's co-authors include Neil M. Robertson, Ruhui Ma, Haibing Guan, Zhengui Xue, Tao Song, Elyor Kodirov, Zhongyang Huang, Song Zheng, Shuicheng Yan and Qiang Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Hua Yang

189 papers receiving 2.9k citations

Hit Papers

FedALA: Adaptive Local Aggregation for Personalized Feder... 2023 2026 2024 2025 2023 50 100 150

Peers

Hua Yang
Comparison fields: 5 of 169
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 745
  • Cognitive Neuroscience 480
  • Media Technology 175
  • Signal Processing 165
Replace Mu Li with:
Mu Li China
Y-Lan Boureau United States
Sonya Coleman United Kingdom
Paolo Napoletano Italy
Erhardt Barth Germany
Preetha Phillips United States
Yan Wu China
Wenqiang Zhang China
Dan Xu China
Mu Li China View profile →
Citations per field, relative to Hua Yang
Hua Yang · 1×
Citations per year, relative to Hua Yang
Hua Yang · 1×

Countries citing papers authored by Hua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Yang. A scholar is included among the top collaborators of Hua Yang 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 Hua Yang. Hua Yang 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
# Work Indexed citations
1 0
2 12
3 0
4 0
5 6
6 1
7 1
8 1
9 1
10 5
11 3
12 12
13 12
14 1
15 21
16 7
17 18
18 6
19 35
20 6

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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