Yuliang Liu
- Media Technology top 0.5%
- Vehicle License Plate Recognition 11
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- Handwritten Text Recognition Techniques 34
- Advanced Image and Video Retrieval Techniques 10
- Image Processing and 3D Reconstruction 7
- Advanced Neural Network Applications 6
- Multimodal Machine Learning Applications 5
- Building and Construction top 2%
- Computational Mathematics top 10%
- Transportation top 5%
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- Natural Language Processing Techniques 11
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- Online and Blended Learning 6
- Co-authors
- Lianwen JinChunhua ShenFei‐Yue WangYisheng LvYanjie DuanSheng ZhangTong HeLele Xie
- Journals
- Environmental Science & Technology (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (6 papers)IEEE Transactions on Image Processing (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yuliang Liu
63 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Media Technology 674
- Computer Vision and Pattern Recognition 1.3k
- Building and Construction 261
- Computational Mathematics 11
- Transportation 117
Countries citing papers authored by Yuliang Liu
This map shows the geographic impact of Yuliang Liu'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 Yuliang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuliang Liu more than expected).
Fields of papers citing papers by Yuliang Liu
This network shows the impact of papers produced by Yuliang Liu. 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 Yuliang Liu. The network helps show where Yuliang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuliang Liu, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 23 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 37 | |
| 15 | 2020 | 21 | |
| 16 | 2019 | 44 | |
| 17 | 2019 | 14 | |
| 18 | A Comparison Study of Online versus Traditional Student Evaluation of Instruction | 2005 | 11 |
| 19 | 2002 | 0 | |
| 20 | Managing Impression Formation in Computer-Mediated Communication. | 2001 | 14 |
About Yuliang Liu
Yuliang Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (34 papers), Vehicle License Plate Recognition (11 papers), Natural Language Processing Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image Processing and 3D Reconstruction (7 papers), Online and Blended Learning (6 papers), Advanced Neural Network Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Media Technology (674 citations), Computer Vision and Pattern Recognition (1.3k citations) and Building and Construction (261 citations). Yuliang Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lianwen Jin, Chunhua Shen, Fei‐Yue Wang, Yisheng Lv, Yanjie Duan, Sheng Zhang, Tong He, Lele Xie, Hao Chen and Liangwei Wang. Their work appears in journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.