Meiyu Liang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Media Technology top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Junping DuZhe XueFeifei KouLinghui LiLei ShiHaisheng LiWenqi RenJie Guang Song
- Topics
- Advanced Image and Video Retrieval Techniques (13 papers)Video Surveillance and Tracking Methods (11 papers)Advanced Vision and Imaging (11 papers)
- Journals
- IEEE Transactions on Image ProcessingEuropean Journal of Medicinal ChemistryIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Meiyu Liang
57 papers receiving 375 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 215
- Computer Vision and Pattern Recognition 198
- Information Systems 58
- Media Technology 33
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Meiyu Liang
This map shows the geographic impact of Meiyu Liang'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 Meiyu Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiyu Liang more than expected).
Fields of papers citing papers by Meiyu Liang
This network shows the impact of papers produced by Meiyu Liang. 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 Meiyu Liang. The network helps show where Meiyu Liang may publish in the future.
Co-authorship network of co-authors of Meiyu Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Meiyu Liang. A scholar is included among the top collaborators of Meiyu Liang 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 Meiyu Liang. Meiyu Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | SRTM: A Sparse RNN-Topic Model for Discovering Bursty Topics in Big Data of Social Networks. | 4 |
| 17 | 2 | |
| 18 | 3 | |
| 19 | Wireless Sensor Network Nodes Localization Method of Underground Coal Mines based on Genetic Algorithm | 1 |
| 20 | Urban Land Expansion in Xuzhou City from 1949 to 2007:Features and Influencing Factors | 1 |
About Meiyu Liang
Meiyu Liang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 63 papers that have together received 384 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Video Surveillance and Tracking Methods (11 papers) and Advanced Vision and Imaging (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Artificial Intelligence (215 citations) and Media Technology (33 citations). Meiyu Liang has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Junping Du, Zhe Xue, Feifei Kou, Junping Du, Linghui Li, Lei Shi, Haisheng Li, Wenqi Ren, Jie Guang Song and Zheng Chen. Their work appears in journals such as IEEE Transactions on Image Processing, European Journal of Medicinal Chemistry and IEEE Transactions on Neural Networks and Learning Systems.
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.