Guocai Liu
- Polymers and Plastics top 10%
- Conducting polymers and applications 12
- Materials Chemistry top 10%
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- Advanced Memory and Neural Computing 10
- Aquatic Science top 10%
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- Topological Materials and Phenomena 7
- Cold Atom Physics and Bose-Einstein Condensates 5
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- Radiomics and Machine Learning in Medical Imaging 6
- Medical Imaging Techniques and Applications 5
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- Medical Image Segmentation Techniques 5
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- Advanced Sensor and Energy Harvesting Materials 5
- Co-authors
- Huiqing FanZhiyong LiuYuwei ZhaoYunlong GuoYunqi LiuJunfeng XuZhiyuan ZhaoXin Huang
- Journals
- Journal of the American Chemical Society (1 paper)Nucleic Acids Research (1 paper)Advanced Materials (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guocai Liu
65 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Polymers and Plastics 193
- Materials Chemistry 478
- Electrical and Electronic Engineering 580
- Electronic, Optical and Magnetic Materials 175
- Aquatic Science 56
Countries citing papers authored by Guocai Liu
This map shows the geographic impact of Guocai 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 Guocai Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guocai Liu more than expected).
Fields of papers citing papers by Guocai Liu
This network shows the impact of papers produced by Guocai 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 Guocai Liu. The network helps show where Guocai Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guocai Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 26 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 31 | |
| 9 | 2022 | 49 | |
| 10 | 2022 | 111 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 51 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 72 | |
| 15 | 2018 | 13 | |
| 16 | 2017 | 9 | |
| 17 | Research on mix design and pavement performances for anti-crack cement stabilized macadam | 2013 | 1 |
| 18 | A Method Improving Registration Accuracy Progressively for InSAR Complex Image | 2007 | 2 |
| 19 | Examination and Study of Catalytic Oxidation in Sight Water Resumption | 2006 | 1 |
| 20 | 1992 | 1 |
About Guocai Liu
Guocai Liu is a scholar working on Polymers and Plastics, Bioengineering and Ceramics and Composites, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Conducting polymers and applications (12 papers), Advanced Memory and Neural Computing (10 papers), Topological Materials and Phenomena (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). The work is most often cited by research in Polymers and Plastics (193 citations), Materials Chemistry (478 citations) and Electrical and Electronic Engineering (580 citations). Guocai Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huiqing Fan, Zhiyong Liu, Yuwei Zhao, Yunlong Guo, Yunqi Liu, Junfeng Xu, Zhiyuan Zhao, Xin Huang, Kai Liu and Jing Shi. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Advanced Materials.
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.