Zhaohui Liang
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Complementary and alternative medicine top 2%
- Artificial Intelligence top 10%
- Cancer Research
- Co-authors
- Jimmy Xiangji HuangWenbin FuGang ZhangBaohua JiaoShuai WangXiaoping ZhuKamolrat SilamutMahdieh Poostchi
- Topics
- Traditional Chinese Medicine Studies (11 papers)Acupuncture Treatment Research Studies (11 papers)COVID-19 diagnosis using AI (7 papers)
- Cited by
- Complementary and alternative medicineHealth Information ManagementComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaACS Applied Materials & Interfaces
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhaohui Liang
75 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 258
- Computer Vision and Pattern Recognition 226
- Complementary and alternative medicine 202
- Artificial Intelligence 182
- Cancer Research 152
Countries citing papers authored by Zhaohui Liang
This map shows the geographic impact of Zhaohui Liang'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 Zhaohui Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaohui Liang more than expected).
Fields of papers citing papers by Zhaohui Liang
This network shows the impact of papers produced by Zhaohui Liang. 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 Zhaohui Liang. The network helps show where Zhaohui Liang may publish in the future.
Co-authorship network of co-authors of Zhaohui Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaohui Liang. A scholar is included among the top collaborators of Zhaohui Liang 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 Zhaohui Liang. Zhaohui Liang 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 27 | |
| 14 | 11 | |
| 15 | 8 | |
| 16 | 11 | |
| 17 | 23 | |
| 18 | 59 | |
| 19 | 15 | |
| 20 | 5 |
About Zhaohui Liang
Zhaohui Liang is a scholar working on Complementary and alternative medicine, Tourism, Leisure and Hospitality Management and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 1.0k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (11 papers), Acupuncture Treatment Research Studies (11 papers) and COVID-19 diagnosis using AI (7 papers). The work is most often cited by research in Complementary and alternative medicine (202 citations), Health Information Management (52 citations) and Computer Vision and Pattern Recognition (226 citations). Zhaohui Liang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jimmy Xiangji Huang, Wenbin Fu, Gang Zhang, Baohua Jiao, Shuai Wang, Xiaoping Zhu, Kamolrat Silamut, Mahdieh Poostchi, Stefan Jaeger and Ilker Ersoy. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Applied Materials & Interfaces.
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.