Dongquan Liu
- Computer Vision and Pattern Recognition top 5%
- Physiology
- Artificial Intelligence top 10%
- Endocrine and Autonomic Systems top 10%
- Biomedical Engineering
- Co-authors
- Hock Soon SeahJun YuDacheng TaoW. J. StrongeOlga SourinaChen FengHolger WoehrleJean‐Louis Pépin
- Topics
- Data Management and Algorithms (5 papers)High-Velocity Impact and Material Behavior (4 papers)Ultrasound Imaging and Elastography (4 papers)
In The Last Decade
Dongquan Liu
34 papers receiving 693 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 242
- Physiology 133
- Artificial Intelligence 110
- Endocrine and Autonomic Systems 96
- Biomedical Engineering 93
Countries citing papers authored by Dongquan Liu
This map shows the geographic impact of Dongquan 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 Dongquan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongquan Liu more than expected).
Fields of papers citing papers by Dongquan Liu
This network shows the impact of papers produced by Dongquan 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 Dongquan Liu. The network helps show where Dongquan Liu may publish in the future.
Co-authorship network of co-authors of Dongquan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dongquan Liu. A scholar is included among the top collaborators of Dongquan 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 Dongquan Liu. Dongquan 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 | 1 | |
| 3 | 0 | |
| 4 | 22 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 74 | |
| 8 | 14 | |
| 9 | Symmetry-based vehicle detection method for rapid | 1 |
| 10 | 93 | |
| 11 | Visualization of 2D and 3D vector field | 0 |
| 12 | Ultrasound B-mode imaging based on CUDA | 1 |
| 13 | 97 | |
| 14 | [Denoising worm artifacts of elastogram using 2-D wavelet shrinkage]. | 0 |
| 15 | [An adaptive ultrasound sound speed optimization based on image contrast analysis]. | 1 |
| 16 | Soft morphological filter based on particle swarm algorithm | 1 |
| 17 | 37 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 4 |
About Dongquan Liu
Dongquan Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Endocrine and Autonomic Systems, having authored 39 papers that have together received 714 indexed citations. Recurring topics across this work include Data Management and Algorithms (5 papers), High-Velocity Impact and Material Behavior (4 papers) and Ultrasound Imaging and Elastography (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (96 citations), Computer Vision and Pattern Recognition (242 citations) and Human-Computer Interaction (49 citations). Dongquan Liu has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Hock Soon Seah, Jun Yu, Dacheng Tao, W. J. Stronge, Olga Sourina, Chen Feng, Holger Woehrle, Jean‐Louis Pépin, Atul Malhotra and Dapeng Tao. Their work appears in journals such as CHEST Journal, Small 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.