Guangmin Liang
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Microbiology
- Electrical and Electronic Engineering
- Co-authors
- Lei XuChangrui LiaoChi‐Chang ChangGin‐Den ChenLongjie WangWeiran CaoCongwei LiaoYu Zhang
- Topics
- Machine Learning in Bioinformatics (6 papers)Genomics and Phylogenetic Studies (3 papers)RNA and protein synthesis mechanisms (2 papers)
- Partner nations
- ChinaTaiwanUnited Kingdom
In The Last Decade
Guangmin Liang
13 papers receiving 390 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 301
- Computational Theory and Mathematics 65
- Artificial Intelligence 33
- Microbiology 31
- Electrical and Electronic Engineering 30
Countries citing papers authored by Guangmin Liang
This map shows the geographic impact of Guangmin 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 Guangmin Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangmin Liang more than expected).
Fields of papers citing papers by Guangmin Liang
This network shows the impact of papers produced by Guangmin 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 Guangmin Liang. The network helps show where Guangmin Liang may publish in the future.
Co-authorship network of co-authors of Guangmin Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Guangmin Liang. A scholar is included among the top collaborators of Guangmin 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 Guangmin Liang. Guangmin 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 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 31 | |
| 6 | 64 | |
| 7 | 10 | |
| 8 | 81 | |
| 9 | 96 | |
| 10 | 79 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 8 |
About Guangmin Liang
Guangmin Liang is a scholar working on Computer Networks and Communications, Obstetrics and Gynecology and Safety, Risk, Reliability and Quality, having authored 14 papers that have together received 395 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (3 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Microbiology (31 citations), Molecular Biology (301 citations) and Health Information Management (20 citations). Guangmin Liang has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Lei Xu, Changrui Liao, Chi‐Chang Chang, Gin‐Den Chen, Longjie Wang, Weiran Cao, Congwei Liao, Yu Zhang, Shengdong Zhang and Xu Tan. Their work appears in journals such as International Journal of Molecular Sciences, Molecules and IEEE Electron Device Letters.
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.