Guangming Liu
- Molecular Biology
- Water Science and Technology top 10%
- Biomedical Engineering
- Computational Theory and Mathematics top 10%
- Cancer Research
- Co-authors
- Vincent S. J. CraigZhihua WuXuezhong ZhouKathleen M. MulderZigang DongJian YuKuo YangRunshun Zhang
- Topics
- Bioinformatics and Genomic Networks (10 papers)Machine Learning in Bioinformatics (5 papers)Computational Drug Discovery Methods (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guangming Liu
26 papers receiving 563 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 346
- Water Science and Technology 113
- Biomedical Engineering 69
- Computational Theory and Mathematics 58
- Cancer Research 47
Countries citing papers authored by Guangming Liu
This map shows the geographic impact of Guangming 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 Guangming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangming Liu more than expected).
Fields of papers citing papers by Guangming Liu
This network shows the impact of papers produced by Guangming 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 Guangming Liu. The network helps show where Guangming Liu may publish in the future.
Co-authorship network of co-authors of Guangming Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Guangming Liu. A scholar is included among the top collaborators of Guangming 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 Guangming Liu. Guangming 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 | 9 | |
| 3 | 7 | |
| 4 | 36 | |
| 5 | 16 | |
| 6 | 24 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 15 | |
| 10 | 0 | |
| 11 | Optimization and application of Apriori algorithm based on MapReduce in medical big data | 1 |
| 12 | Cloning and prokaryotic expression of parvalbumin from silver carp (Hypophthalmichthy molitrix) skeletal muscle | 1 |
| 13 | 12 | |
| 14 | Fitting algorithm of TLE parameters based on non-singular transformation | 1 |
| 15 | 2 | |
| 16 | 40 | |
| 17 | 17 | |
| 18 | 33 | |
| 19 | 42 | |
| 20 | 71 |
About Guangming Liu
Guangming Liu is a scholar working on Applied Microbiology and Biotechnology, Computational Theory and Mathematics and Molecular Biology, having authored 28 papers that have together received 575 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Machine Learning in Bioinformatics (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Water Science and Technology (113 citations), Molecular Biology (346 citations) and Computational Theory and Mathematics (58 citations). Guangming Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Vincent S. J. Craig, Zhihua Wu, Xuezhong Zhou, Kathleen M. Mulder, Zigang Dong, Jian Yu, Kuo Yang, Runshun Zhang, Wei Ding and Masaaki Nomura. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and ACS Nano.
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.