Liangcai Gao
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 5%
- Molecular Biology
- Co-authors
- Zhi TangZhuoren JiangXiaohan YiXiaozhong LiuXiaofan LinXiaoyan LinXiaode ZhangYongtao Wang
- Topics
- Handwritten Text Recognition Techniques (31 papers)Mathematics, Computing, and Information Processing (19 papers)Image Retrieval and Classification Techniques (16 papers)
- Journals
- Journal of Biological ChemistryNature BiotechnologyBiochemical and Biophysical Research Communications
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Liangcai Gao
89 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 536
- Artificial Intelligence 359
- Computational Theory and Mathematics 175
- Information Systems 131
- Molecular Biology 81
Countries citing papers authored by Liangcai Gao
This map shows the geographic impact of Liangcai Gao'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 Liangcai Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangcai Gao more than expected).
Fields of papers citing papers by Liangcai Gao
This network shows the impact of papers produced by Liangcai Gao. 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 Liangcai Gao. The network helps show where Liangcai Gao may publish in the future.
Co-authorship network of co-authors of Liangcai Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Liangcai Gao. A scholar is included among the top collaborators of Liangcai Gao 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 Liangcai Gao. Liangcai Gao 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 67 | |
| 9 | 3 | |
| 10 | [Prevalence and risk factors of chronic mountain sickness in Pamirs plateau]. | 1 |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 26 | |
| 14 | The Math Retrieval System of ICST for NTCIR-12 MathIR Task. | 7 |
| 15 | ICST Math Retrieval System for NTCIR-11 Math-2 Task | 6 |
| 16 | 25 | |
| 17 | 1 | |
| 18 | 77 | |
| 19 | 28 | |
| 20 | 10 |
About Liangcai Gao
Liangcai Gao is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Biological Psychiatry, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (31 papers), Mathematics, Computing, and Information Processing (19 papers) and Image Retrieval and Classification Techniques (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (536 citations), Biological Psychiatry (66 citations) and Artificial Intelligence (359 citations). Liangcai Gao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhi Tang, Zhuoren Jiang, Xiaohan Yi, Xiaozhong Liu, Xiaofan Lin, Xiaoyan Lin, Xiaode Zhang, Yongtao Wang, Ke Yuan and Limin Xiao. Their work appears in journals such as Journal of Biological Chemistry, Nature Biotechnology and Biochemical and Biophysical Research Communications.
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.