Zhiqiang Que

800 total citations
57 papers, 504 citations indexed

About

Zhiqiang Que is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Zhiqiang Que has authored 57 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Zhiqiang Que's work include Advanced Neural Network Applications (19 papers), Adversarial Robustness in Machine Learning (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Zhiqiang Que is often cited by papers focused on Advanced Neural Network Applications (19 papers), Adversarial Robustness in Machine Learning (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Zhiqiang Que collaborates with scholars based in United Kingdom, China and United States. Zhiqiang Que's co-authors include Wayne Luk, Hongxiang Fan, Xinyu Niu, Shuanglong Liu, Martin Ferianc, Yongxin Zhu, Ho-Cheung Ng, Hiroki Nakahara, Yuefeng Song and Сhen Liu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Zhiqiang Que

49 papers receiving 492 citations

Peers

Zhiqiang Que
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 238
  • Artificial Intelligence 206
  • Electrical and Electronic Engineering 143
  • Hardware and Architecture 71
  • Control and Systems Engineering 30
Replace Hongxiang Fan with:
Hongxiang Fan United Kingdom
Geng Yuan United States
Shi Shao-bo China
Junbin Wang China
Zhengang Li United States
Tailin Liang China
Yiming Hu China
Alberto Marchisio United Arab Emirates
Ahmad Shawahna Saudi Arabia
Jong Hwan Ko South Korea
Hongxiang Fan United Kingdom View profile →
Citations per field, relative to Zhiqiang Que
Zhiqiang Que · 1×
Citations per year, relative to Zhiqiang Que
Zhiqiang Que · 1×

Countries citing papers authored by Zhiqiang Que

Since Specialization
Citations

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

Fields of papers citing papers by Zhiqiang Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiqiang Que

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiqiang Que. A scholar is included among the top collaborators of Zhiqiang Que 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 Zhiqiang Que. Zhiqiang Que 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 1
2 1
3 0
4 0
5 0
6 15
7 6
8 2
9 4
10 4
11 7
12 2
13 1
14 7
15 4
16 4
17 26
18 7
19
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based \n Accelerator
5
20 39

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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