Yuhao Zhu

3.7k citations
107 papers · 1.8k indexed · h-index 24
Topics
Green IT and Sustainability (13 papers)Advanced Neural Network Applications (12 papers)Caching and Content Delivery (11 papers)
Journals
SHILAP Revista de lepidopterologíaCommunications of the ACMPhysics Letters B

In The Last Decade

Yuhao Zhu

99 papers receiving 1.7k citations

Peers

Yuhao Zhu
Comparison fields: 5 of 110
  • Electrical and Electronic Engineering 653
  • Computer Vision and Pattern Recognition 636
  • Computer Networks and Communications 468
  • Hardware and Architecture 343
  • Artificial Intelligence 238
Replace Michael Deisher with:
Michael Deisher United States
Yunsup Lee United States
Changkyu Kim United States
Ang Li United States
Jonathan Ragan‐Kelley United States
Henk Corporaal Netherlands
Javier Díaz Spain
Zhongfeng Wang China
Miriam Leeser United States
Tianqi Chen China
Yuhao Zhu relative to Michael Deisher United States Michael Deisher's profile →
Citations per field
00.5×10×20×30×40×48.4×
Michael Deisher · 1×
Citations per year

Countries citing papers authored by Yuhao Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Yuhao Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhao Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhao Zhu. A scholar is included among the top collaborators of Yuhao Zhu 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 Zhu. Yuhao Zhu 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
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 3
6 10
7 3
8 3
9 3
10 21
11 5
12 1
13 4
14 76
15 119
16
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization.
3
17
End-to-End Learning of Energy-Constrained Deep Neural Networks.
6
18 49
19 1
20 83

About Yuhao Zhu

Yuhao Zhu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Green IT and Sustainability (13 papers), Advanced Neural Network Applications (12 papers) and Caching and Content Delivery (11 papers). The work is most often cited by research in Hardware and Architecture (343 citations), Computer Vision and Pattern Recognition (636 citations) and Computational Mathematics (16 citations). Yuhao Zhu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Vijay Janapa Reddi, Matthew Halpern, Matthew Mattina, Jie Tang, Shaoshan Liu, Yu Bo, Jingwen Leng, Zhenan Sun, Chengzhong Xu and Jian Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Physics Letters B.

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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