Yuhao Zhou

1.6k total citations
35 papers, 448 citations indexed

About

Yuhao Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yuhao Zhou has authored 35 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Yuhao Zhou's work include Advanced Image and Video Retrieval Techniques (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). Yuhao Zhou is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). Yuhao Zhou collaborates with scholars based in China, United States and Switzerland. Yuhao Zhou's co-authors include Qing Ye, Jiancheng Lv, Abdelrahman Mohamed, Michael Auli, Alexei Baevski, Yanwei Wang, Chengcheng Chen, Weiming Zeng, Qiuze Yu and Xingzhao Liu and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yuhao Zhou

29 papers receiving 418 citations

Peers

Yuhao Zhou
Comparison fields: 5 of 82
  • Artificial Intelligence 312
  • Signal Processing 86
  • Computer Vision and Pattern Recognition 64
  • Computer Networks and Communications 42
  • Electrical and Electronic Engineering 34
Replace Vincenzo Carletti with:
Vincenzo Carletti Italy
Saurabh Agarwal India
Li Gao China
Neil A. Bomberger United States
Kishor K. Bhoyar India
Xudong Yang China
K. V. N. Sunitha India
Yiwei Pan China
Junliang Chen China
Ziheng Duan United States
Vincenzo Carletti Italy View profile →
Citations per field, relative to Yuhao Zhou
Yuhao Zhou · 1×
Citations per year, relative to Yuhao Zhou
Yuhao Zhou · 1×

Countries citing papers authored by Yuhao Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yuhao Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhao Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhao Zhou. A scholar is included among the top collaborators of Yuhao Zhou 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 Yuhao Zhou. Yuhao Zhou 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
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2 0
3 2
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5 2
6 1
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8 0
9 5
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14 3
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18 1
19
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
155
20
Neural Graph Evolution: Towards Efficient Automatic Robot Design
2

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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