Shigang Liu
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Yali PengTao LeiAsoke K. NandiYang XiangJun ZhangHongying MengXiaohong JiaYanning Zhang
- Topics
- Face and Expression Recognition (28 papers)Image Retrieval and Classification Techniques (18 papers)Sparse and Compressive Sensing Techniques (17 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shigang Liu
111 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 625
- Artificial Intelligence 564
- Information Systems 357
- Computer Networks and Communications 248
Countries citing papers authored by Shigang Liu
This map shows the geographic impact of Shigang 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 Shigang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigang Liu more than expected).
Fields of papers citing papers by Shigang Liu
This network shows the impact of papers produced by Shigang 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 Shigang Liu. The network helps show where Shigang Liu may publish in the future.
Co-authorship network of co-authors of Shigang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shigang Liu. A scholar is included among the top collaborators of Shigang 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 Shigang Liu. Shigang 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 | 10 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Chinese Medical Injections for Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Network Meta-analysis | 7 |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | Adaptive Morphological Reconstruction for Seeded Image Segmentation | 62 |
| 13 | 14 | |
| 14 | 10 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | Effect of Xiaochuan Acupoint Adhesive Plaster on Chronic Obstructive Pulmonary Diseases in Stable Stage: A Clinical Study on 64 Cases | 1 |
| 18 | Calibration factor estimation based on statistical modeling of scattering coefficient | 2 |
| 19 | Anisotropic External Force Field for Active Contour Based on Perona-Malik Model | 1 |
| 20 | 8 |
About Shigang Liu
Shigang Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mathematics, having authored 116 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (28 papers), Image Retrieval and Classification Techniques (18 papers) and Sparse and Compressive Sensing Techniques (17 papers). The work is most often cited by research in Media Technology (625 citations), Computer Vision and Pattern Recognition (1.2k citations) and Signal Processing (246 citations). Shigang Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yali Peng, Tao Lei, Asoke K. Nandi, Yang Xiang, Yali Peng, Jun Zhang, Hongying Meng, Xiaohong Jia, Yanning Zhang and Lingjun Li. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.
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.