Zhihao Qu

1.5k total citations · 1 hit paper
62 papers, 993 citations indexed

About

Zhihao Qu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Zhihao Qu has authored 62 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 25 papers in Artificial Intelligence and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Zhihao Qu's work include Privacy-Preserving Technologies in Data (16 papers), Stochastic Gradient Optimization Techniques (11 papers) and IoT and Edge/Fog Computing (10 papers). Zhihao Qu is often cited by papers focused on Privacy-Preserving Technologies in Data (16 papers), Stochastic Gradient Optimization Techniques (11 papers) and IoT and Edge/Fog Computing (10 papers). Zhihao Qu collaborates with scholars based in China, Hong Kong and United States. Zhihao Qu's co-authors include Song Guo, Yufeng Zhan, Deze Zeng, Peng Li, Baoliu Ye, Haozhao Wang, Bin Tang, Jie Zhang, Qifeng Liu and Rajendra Akerkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Zhihao Qu

52 papers receiving 979 citations

Hit Papers

A Learning-Based Incentive Mechanism for Federated Learning 2020 2026 2022 2024 2020 100 200 300 400

Peers

Zhihao Qu
Comparison fields: 5 of 80
  • Artificial Intelligence 661
  • Computer Networks and Communications 324
  • Electrical and Electronic Engineering 219
  • Computer Science Applications 192
  • Information Systems 169
Replace Qiyang Zhao with:
Qiyang Zhao United Kingdom
Mi Wen China
Chenyang Wang China
Zicong Hong China
Yan Kang China
Xuefei Yin Australia
Kebin Liu China
Yanchao Zhao China
Qiyang Zhao United Kingdom View profile →
Citations per field, relative to Zhihao Qu
Zhihao Qu · 1×
Citations per year, relative to Zhihao Qu
Zhihao Qu · 1×

Countries citing papers authored by Zhihao Qu

Since Specialization
Citations

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

Fields of papers citing papers by Zhihao Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihao Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihao Qu. A scholar is included among the top collaborators of Zhihao Qu 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 Zhihao Qu. Zhihao Qu 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 10
3 0
4 4
5 12
6 2
7 0
8 1
9 1
10 12
11 9
12 8
13 6
14 12
15 30
16 90
17
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning
9
18 5
19 22
20 33

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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