Shan Liu
- Artificial Intelligence top 1%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Environmental Engineering top 2%
- Co-authors
- Wenfeng ZhengLirong YinBo YangJiawei TianMingzhe LiuLei WangSiyu LuZhengtong Yin
- Topics
- Advanced Technologies in Various Fields (20 papers)Photoacoustic and Ultrasonic Imaging (7 papers)Teleoperation and Haptic Systems (5 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaRenewable and Sustainable Energy Reviews
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Shan Liu
103 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Artificial Intelligence 1.1k
- Biomedical Engineering 468
- Computer Vision and Pattern Recognition 429
- Electrical and Electronic Engineering 427
- Environmental Engineering 367
Countries citing papers authored by Shan Liu
This map shows the geographic impact of Shan 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 Shan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Liu more than expected).
Fields of papers citing papers by Shan Liu
This network shows the impact of papers produced by Shan 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 Shan Liu. The network helps show where Shan Liu may publish in the future.
Co-authorship network of co-authors of Shan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shan Liu. A scholar is included among the top collaborators of Shan 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 Shan Liu. Shan 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 | 5 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | YOLOV4_CSPBi: Enhanced Land Target Detection Modelbreakdown → | 100 |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 58 | |
| 10 | 54 | |
| 11 | 29 | |
| 12 | 63 | |
| 13 | 65 | |
| 14 | 11 | |
| 15 | 85 | |
| 16 | 90 | |
| 17 | 70 | |
| 18 | 16 | |
| 19 | 24 | |
| 20 | 89 |
About Shan Liu
Shan Liu is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 105 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Technologies in Various Fields (20 papers), Photoacoustic and Ultrasonic Imaging (7 papers) and Teleoperation and Haptic Systems (5 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Environmental Engineering (367 citations) and Modeling and Simulation (106 citations). Shan Liu has collaborated with scholars based in China, United States and France. Frequent co-authors include Wenfeng Zheng, Lirong Yin, Bo Yang, Jiawei Tian, Mingzhe Liu, Lei Wang, Siyu Lu, Zhengtong Yin, Xiaolu Li and Xiaobing Chen. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.
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.