Guihua Duan
- Molecular Biology
- Plant Science top 5%
- Computational Theory and Mathematics top 2%
- Statistical and Nonlinear Physics top 5%
- Insect Science top 10%
- Co-authors
- Jianxin WangChunqin LiJing YangChangmi WangGuangyu HanLin LiuYaling ZhangCheng Yan
- Topics
- Computational Drug Discovery Methods (17 papers)Machine Learning in Bioinformatics (15 papers)Bioinformatics and Genomic Networks (10 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Guihua Duan
61 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 560
- Plant Science 479
- Computational Theory and Mathematics 235
- Statistical and Nonlinear Physics 99
- Insect Science 93
Countries citing papers authored by Guihua Duan
This map shows the geographic impact of Guihua Duan'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 Guihua Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guihua Duan more than expected).
Fields of papers citing papers by Guihua Duan
This network shows the impact of papers produced by Guihua Duan. 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 Guihua Duan. The network helps show where Guihua Duan may publish in the future.
Co-authorship network of co-authors of Guihua Duan
This figure shows the co-authorship network connecting the top 25 collaborators of Guihua Duan. A scholar is included among the top collaborators of Guihua Duan 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 Guihua Duan. Guihua Duan 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 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 55 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 14 | |
| 13 | 11 | |
| 14 | An Optimization Deployment Scheme for Static Charging Piles Based on Dynamic of Shared E-Bikes | 1 |
| 15 | 6 | |
| 16 | 26 | |
| 17 | 10 | |
| 18 | The Crosstalks Between Jasmonic Acid and Other Plant Hormone Signaling Highlight the Involvement of Jasmonic Acid as a Core Component in Plant Response to Biotic and Abiotic Stressesbreakdown → | 496 |
| 19 | 1 | |
| 20 | An algorithm for identifying protein complexes based on clique percolation and distance restriction | 1 |
About Guihua Duan
Guihua Duan is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Cancer Research, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Machine Learning in Bioinformatics (15 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Computational Theory and Mathematics (235 citations), Plant Science (479 citations) and Molecular Biology (560 citations). Guihua Duan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianxin Wang, Chunqin Li, Jing Yang, Changmi Wang, Guangyu Han, Lin Liu, Yaling Zhang, Cheng Yan, Fang‐Xiang Wu and Yi Pan. Their work appears in journals such as Bioinformatics, The Journal of Physical Chemistry C and IEEE Access.
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.