Yi Yang

81.7k citations
702 papers · 42.4k indexed · 39 hit papers · h-index 107

Yi Yang

669 papers receiving 41.5k citations

Hit Papers

A survey ...49201120262016202150010001.5k

Peers

Yi Yang
Comparison fields: 5 of 220
  • Computer Vision and Pattern Recognition 31.6k
  • Artificial Intelligence 13.9k
  • Media Technology 3.2k
  • Computational Mathematics 206
  • Signal Processing 1.9k
Replace Yangqing Jia with:
Yangqing Jia United States
Christian Szegedy United States
Ling Shao China
Meng Wang China
Stephen Lin China
Dragomir Anguelov United States
Jian Yang China
Serge Belongie United States
Dumitru Erhan United States
Li-Jia Li United States
Yi Yang relative to Yangqing Jia United States Yangqing Jia's profile →
Citations per field
00.5×1.5×2.3×
Yangqing Jia · 1×
Citations per year

Countries citing papers authored by Yi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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19 2021127
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Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identificationbreakdown →
2018713

About Yi Yang

Yi Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mathematics, having authored 702 papers that have together received 42.4k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (153 papers), Advanced Image and Video Retrieval Techniques (151 papers), Multimodal Machine Learning Applications (144 papers), Domain Adaptation and Few-Shot Learning (108 papers), Video Surveillance and Tracking Methods (101 papers), Advanced Neural Network Applications (96 papers), Video Analysis and Summarization (85 papers) and Image Retrieval and Classification Techniques (56 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (31.6k citations), Artificial Intelligence (13.9k citations) and Media Technology (3.2k citations). Yi Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liang Zheng, Zhedong Zheng, Linchao Zhu, Feiping Nie, Xiaojun Chang, Guoliang Kang, Alexander G. Hauptmann, Xuanyi Dong, Deva Ramanan and Zhigang Ma. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits and Systems for Video Technology.

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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