Shaopeng Liu
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Mechanical Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Guohui TianRobert X. GaoPatty S. FreedsonJohn StaudenmayerDinesh JohnYuan XuKaiyong CaiYing Zhang
- Topics
- Non-Invasive Vital Sign Monitoring (11 papers)Nanoplatforms for cancer theranostics (9 papers)Advanced Neural Network Applications (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionBiomedical EngineeringControl and Systems Engineering
- Journals
- Nano LettersACS NanoBiomaterials
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Shaopeng Liu
67 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 166
- Biomedical Engineering 392
- Computer Vision and Pattern Recognition 370
- Control and Systems Engineering 188
- Mechanical Engineering 168
- Artificial Intelligence 164
Countries citing papers authored by Shaopeng Liu
This map shows the geographic impact of Shaopeng 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 Shaopeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaopeng Liu more than expected).
Fields of papers citing papers by Shaopeng Liu
This network shows the impact of papers produced by Shaopeng 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 Shaopeng Liu. The network helps show where Shaopeng Liu may publish in the future.
Co-authorship network of co-authors of Shaopeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shaopeng Liu. A scholar is included among the top collaborators of Shaopeng 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 Shaopeng Liu. Shaopeng 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 | 1 | |
| 5 | 5 | |
| 6 | 55 | |
| 7 | 9 | |
| 8 | 18 | |
| 9 | 94 | |
| 10 | 9 | |
| 11 | 17 | |
| 12 | 10 | |
| 13 | 18 | |
| 14 | 24 | |
| 15 | 22 | |
| 16 | 18 | |
| 17 | 112 | |
| 18 | 9 | |
| 19 | Design of a Barometric Altimeter Based on a Micro Pressure Sensor | 1 |
| 20 | 3 |
About Shaopeng Liu
Shaopeng Liu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Oral Surgery, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (11 papers), Nanoplatforms for cancer theranostics (9 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (370 citations), Biomedical Engineering (392 citations) and Control and Systems Engineering (188 citations). Shaopeng Liu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Guohui Tian, Robert X. Gao, Patty S. Freedson, John Staudenmayer, Dinesh John, Yuan Xu, Kaiyong Cai, Ying Zhang, Peng Liu and Zhiyong Liu. Their work appears in journals such as Nano Letters, ACS Nano and Biomaterials.
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.