Le Yang

2.7k citations
75 papers · 1.7k · 1 hit paper · h-index 20

Impact in

    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Multimodal Machine Learning Applications
    • Domain Adaptation and Few-Shot Learning
    • Machine Learning and ELM
    • Anomaly Detection Techniques and Applications
    • Neural Networks and Applications

Papers in

Le Yang

70 papers receiving 1.7k citations

Le Yang's Hit Papers

Dynamic Neural Networks: A Survey 2021 · 490 citations
4900+1+3Years since publication100200300400

Peers

Le Yang
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 611
  • Artificial Intelligence 588
  • Media Technology 117
  • Building and Construction 172
  • Signal Processing 109
Replace Qiong Liu with:
Qiong Liu China
Ralph R. Martin United Kingdom
Jason Mars United States
Salvatore Tabbone France
Sridhar Lakshmanan United States
Kidiyo Kpalma France
Qiang Chen China
Xianfang Sun United Kingdom
Yu-Bin Yang China
Le Yang relative to Qiong Liu China Qiong Liu's profile →
Citations per field
00.5×4.1×
Qiong Liu · 1×
Citations per year

Countries citing papers authored by Le Yang

Since Specialization
Citations

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

Fields of papers citing papers by Le Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dynamic Neural Networks: A Survey
Hit paper breakdown →
2021490
2 2020170
3 2018100
4 201494
5 202155
6 202147
7 201446
8 201739
9
Riemannian median and its estimation
201335
10 201233
11 202031
12 202329
13 201127
14 201924
15 202124
16 202123
17 201923
18 202021
19 202321
20 202219

About Le Yang

Le Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Atmospheric Science, Geometry and Topology and Applied Mathematics, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Groundwater and Isotope Geochemistry (8 papers), Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Machine Learning and ELM (6 papers), Building Energy and Comfort Optimization (6 papers), Morphological variations and asymmetry (6 papers), Face and Expression Recognition (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (611 citations), Artificial Intelligence (588 citations), Media Technology (117 citations), Building and Construction (172 citations) and Signal Processing (109 citations). Le Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Gao Huang, Shiji Song, Yizeng Han, Yulin Wang, Honghui Wang, Shiji Song, Yiming Chen, Wei Feng, Tianzhen Hong and Marc Arnaudon. Their work appears in journals such as Sustainability, IEEE Transactions on Cybernetics, Environmental Earth Sciences, Remote Sensing and Atmospheric Environment.

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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