Qi Zhao

1.5k total citations
83 papers, 861 citations indexed

About

Qi Zhao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Qi Zhao has authored 83 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Control and Systems Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Qi Zhao's work include Traffic control and management (10 papers), Advanced Vision and Imaging (9 papers) and Traffic Prediction and Management Techniques (8 papers). Qi Zhao is often cited by papers focused on Traffic control and management (10 papers), Advanced Vision and Imaging (9 papers) and Traffic Prediction and Management Techniques (8 papers). Qi Zhao collaborates with scholars based in China, United States and Japan. Qi Zhao's co-authors include Tao Hai, Zhi Yang, Feng Tang, Yi Zhang, Daniel Friedman, Wentai Liu, Fangfang Tan, Edward W. Keefer, James B. Wendt and Marc Najork and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Qi Zhao

70 papers receiving 833 citations

Peers

Qi Zhao
Comparison fields: 5 of 136
  • Computer Vision and Pattern Recognition 453
  • Artificial Intelligence 157
  • Information Systems 87
  • Electrical and Electronic Engineering 82
  • Aerospace Engineering 78
Replace Meng Liu with:
Meng Liu China
Joseph Lemley Ireland
Imran Naseem Pakistan
Sumit Srivastava India
Sujuan Hou China
Yuqing Yang China
Misha Denil United Kingdom
Dana Lahat France
Yuchen Zhao China
Meng Liu China View profile →
Citations per field, relative to Qi Zhao
Qi Zhao · 1×
Citations per year, relative to Qi Zhao
Qi Zhao · 1×

Countries citing papers authored by Qi Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Qi Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Zhao. A scholar is included among the top collaborators of Qi Zhao 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 Qi Zhao. Qi Zhao 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 4
3 0
4 1
5 1
6 2
7 2
8 5
9 4
10 3
11 2
12 4
13
Persistence Enhanced Graph Neural Network
4
14
Learning metrics for persistence-based summaries and applications for graph classification
10
15 3
16
Realization Based on Sequential Control the SPWM
0
17
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
33
18
Improvement and optimization of wireless digital network in power system
0
19 4
20
Spike Feature Extraction Using Informative Samples
18

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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