Ying Zhao
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- Data Visualization and Analytics 44
- Signal Processing top 5%
- Data Management and Algorithms 8
- Time Series Analysis and Forecasting 4
- Transportation top 5%
- Human Mobility and Location-Based Analysis 5
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- Complex Network Analysis Techniques 21
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research 7
- Anomaly Detection Techniques and Applications 6
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- Network Security and Intrusion Detection 6
- Co-authors
- Fangfang ZhouWei ChenZhiguang ZhouJiazhi XiaYi ChenXiaoping FanYang ShiXing Liang
- Journals
- IEEE Transactions on Visualization and Computer Graphics (14 papers)Journal of Visual Languages & Computing (5 papers)Visual Informatics (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Zhao
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 636
- Signal Processing 179
- Transportation 85
- Statistical and Nonlinear Physics 149
- Artificial Intelligence 341
Countries citing papers authored by Ying Zhao
This map shows the geographic impact of Ying 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 Ying Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Zhao more than expected).
Fields of papers citing papers by Ying Zhao
This network shows the impact of papers produced by Ying 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 Ying Zhao. The network helps show where Ying Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 30 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 28 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 2 | |
| 18 | 2017 | 14 | |
| 19 | 2009 | 7 | |
| 20 | Multi-index test applied in orthogonal design | 2004 | 2 |
About Ying Zhao
Ying Zhao is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Signal Processing, Computer Graphics and Computer-Aided Design and Leadership and Management, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (44 papers), Complex Network Analysis Techniques (21 papers), Data Management and Algorithms (8 papers), Advanced Clustering Algorithms Research (7 papers), Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (6 papers), Human Mobility and Location-Based Analysis (5 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (636 citations), Signal Processing (179 citations), Transportation (85 citations), Statistical and Nonlinear Physics (149 citations) and Artificial Intelligence (341 citations). Ying Zhao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fangfang Zhou, Wei Chen, Zhiguang Zhou, Jiazhi Xia, Yi Chen, Xiaoping Fan, Yang Shi, Xing Liang, Wei Chen and Lei Ren. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Visual Languages & Computing, Visual Informatics, IEEE Computer Graphics and Applications and Science China Information Sciences.
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.