Lining Zhang
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Signal Processing
- Health Information Management top 10%
- Co-authors
- Lipo WangWeisi LinLing ShaoHubert P. H. ShumShuicheng YanChuan-Sheng FooKemal TepeSabbir Ahmed
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Image Retrieval and Classification Techniques (7 papers)Remote-Sensing Image Classification (4 papers)
- Journals
- IEEE Transactions on Image ProcessingNeurocomputingIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- SingaporeUnited KingdomCanada
In The Last Decade
Lining Zhang
22 papers receiving 315 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 244
- Media Technology 69
- Artificial Intelligence 64
- Signal Processing 22
- Health Information Management 15
Countries citing papers authored by Lining Zhang
This map shows the geographic impact of Lining Zhang'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 Lining Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lining Zhang more than expected).
Fields of papers citing papers by Lining Zhang
This network shows the impact of papers produced by Lining Zhang. 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 Lining Zhang. The network helps show where Lining Zhang may publish in the future.
Co-authorship network of co-authors of Lining Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Lining Zhang. A scholar is included among the top collaborators of Lining Zhang 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 Lining Zhang. Lining Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | Practical action recognition with manifold regularized sparse representation | 1 |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 45 | |
| 15 | 5 | |
| 16 | 52 | |
| 17 | 80 | |
| 18 | 55 | |
| 19 | 3 | |
| 20 | 4 |
About Lining Zhang
Lining Zhang is a scholar working on Health Information Management, Media Technology and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Media Technology (69 citations) and Computational Mathematics (2 citations). Lining Zhang has collaborated with scholars based in Singapore, United Kingdom and Canada. Frequent co-authors include Lipo Wang, Weisi Lin, Ling Shao, Hubert P. H. Shum, Shuicheng Yan, Chuan-Sheng Foo, Kemal Tepe, Sabbir Ahmed, Xun Xu and Li Liu. Their work appears in journals such as IEEE Transactions on Image Processing, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.
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.