Ying Zhao
- Artificial Intelligence top 1%
- Advanced Clustering Algorithms Research 7
- Neural Networks and Applications 6
- Algorithms and Data Compression 5
- Signal Processing top 2%
- Data Management and Algorithms 6
- Information Systems top 1%
-
- Complex Network Analysis Techniques 8
-
- Advanced Wireless Communication Techniques 9
-
- Error Correcting Code Techniques 6
-
- Machine Learning in Bioinformatics 5
- Co-authors
- George KarypisUsama M. FayyadJavier Garcia‐FriasJianping DaiLiming GuKangsheng LiWeizhong LiYun Su
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Molecules (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Ying Zhao
68 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Artificial Intelligence 1.3k
- Signal Processing 401
- Information Systems 540
- Computer Vision and Pattern Recognition 435
- Statistical and Nonlinear Physics 258
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 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 0 | |
| 6 | 2020 | 57 | |
| 7 | 2019 | 38 | |
| 8 | 2018 | 0 | |
| 9 | 2018 | 71 | |
| 10 | Analysis of Ionospheric Effect During a Solar Eclipse Using GPS Observation of Occultation and Ground Stations | 2011 | 2 |
| 11 | Maritime Domain Awareness via Agent Learning and Collaboration | 2010 | 1 |
| 12 | Perturbation Analysis of the Ionospheric TEC before and after the Wenchuan Earthquake | 2010 | 1 |
| 13 | 2010 | 3 | |
| 14 | GPS/DR Original Observation Integrated Navigation and Positioning | 2009 | 1 |
| 15 | Amicable Orthogonal Designs of Order 8 for Complex Space-Time Block Codes | 2006 | 6 |
| 16 | On Amicable Orthogonal Designs of Order 8 | 2006 | 3 |
| 17 | 2005 | 79 | |
| 18 | 2003 | 36 | |
| 19 | A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition | 1992 | 3 |
| 20 | Some Approximation Properties of Projection Pursuit Learning Networks | 1991 | 5 |
About Ying Zhao
Ying Zhao is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 80 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (9 papers), Complex Network Analysis Techniques (8 papers), Advanced Clustering Algorithms Research (7 papers), Error Correcting Code Techniques (6 papers), Neural Networks and Applications (6 papers), Data Management and Algorithms (6 papers), Machine Learning in Bioinformatics (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Signal Processing (401 citations) and Information Systems (540 citations). Ying Zhao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include George Karypis, Usama M. Fayyad, Javier Garcia‐Frias, Jianping Dai, Liming Gu, Kangsheng Li, Weizhong Li, Yun Su, Gefei Wang and Qianwen Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.
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.