Tong Liu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Computer Networks and Communications top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Teo SušnjakTimothy R. McIntoshPaul WattersMalka N. HalgamugeHuiling ChenJiangzhang GanHua‐Hong ZouFu‐Pei Liang
- Topics
- Face and Expression Recognition (12 papers)Advanced Malware Detection Techniques (6 papers)Image Retrieval and Classification Techniques (5 papers)
- Partner nations
- ChinaNew ZealandAustralia
In The Last Decade
Tong Liu
53 papers receiving 810 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 374
- Computer Vision and Pattern Recognition 124
- Materials Chemistry 112
- Computer Networks and Communications 99
- Electronic, Optical and Magnetic Materials 92
Countries citing papers authored by Tong Liu
This map shows the geographic impact of Tong 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 Tong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Liu more than expected).
Fields of papers citing papers by Tong Liu
This network shows the impact of papers produced by Tong 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 Tong Liu. The network helps show where Tong Liu may publish in the future.
Co-authorship network of co-authors of Tong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Tong Liu. A scholar is included among the top collaborators of Tong Liu 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 Tong Liu. Tong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 27 | |
| 12 | 28 | |
| 13 | 45 | |
| 14 | 28 | |
| 15 | 41 | |
| 16 | 0 | |
| 17 | 34 | |
| 18 | Selection of Distinctive SIFT Feature Based on its Distribution on Feature Space and Local Classifier for Face Recognition | 1 |
| 19 | 1 | |
| 20 | A fast algorithm of address lines extraction on complex Chinese mail pieces | 1 |
About Tong Liu
Tong Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 58 papers that have together received 835 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Advanced Malware Detection Techniques (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Health Informatics (21 citations), Artificial Intelligence (374 citations) and Signal Processing (67 citations). Tong Liu has collaborated with scholars based in China, New Zealand and Australia. Frequent co-authors include Teo Sušnjak, Timothy R. McIntosh, Paul Watters, Malka N. Halgamuge, Huiling Chen, Jiangzhang Gan, Hua‐Hong Zou, Fu‐Pei Liang, Alex Ng and Zhong‐Hong Zhu. Their work appears in journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and Sensors.
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.