Xianfang Wang
- Molecular Biology
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Ecological Modeling top 10%
- Co-authors
- Hongfei LiYifeng LiuLu FanYang ZhangGang RenJindong ChenFeng PanZhiyong Du
- Topics
- Machine Learning in Bioinformatics (13 papers)Advanced Algorithms and Applications (13 papers)Computational Drug Discovery Methods (11 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xianfang Wang
71 papers receiving 645 citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 180
- Control and Systems Engineering 148
- Artificial Intelligence 99
- Computational Theory and Mathematics 84
- Ecological Modeling 58
Countries citing papers authored by Xianfang Wang
This map shows the geographic impact of Xianfang Wang'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 Xianfang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianfang Wang more than expected).
Fields of papers citing papers by Xianfang Wang
This network shows the impact of papers produced by Xianfang Wang. 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 Xianfang Wang. The network helps show where Xianfang Wang may publish in the future.
Co-authorship network of co-authors of Xianfang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xianfang Wang. A scholar is included among the top collaborators of Xianfang Wang 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 Xianfang Wang. Xianfang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Two-stage parameter estimation methods for linear time-invariant continuous-time systemsbreakdown → | 28 |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | An Evaluation Model of Wine Quality Based on Least Square Support Vector Machine | 1 |
| 17 | An improved LSSVM based on multi-scale wavelet kernel function | 1 |
| 18 | Identification of Hammerstein models based on online Support Vector Regression | 1 |
| 19 | Identification of dynamic nonlinear systems based on modified LSSVM | 4 |
| 20 | 16 |
About Xianfang Wang
Xianfang Wang is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 78 papers that have together received 653 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (13 papers), Advanced Algorithms and Applications (13 papers) and Computational Drug Discovery Methods (11 papers). The work is most often cited by research in Ecological Modeling (58 citations), Control and Systems Engineering (148 citations) and Computational Theory and Mathematics (84 citations). Xianfang Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hongfei Li, Yifeng Liu, Lu Fan, Yang Zhang, Gang Ren, Jindong Chen, Feng Pan, Zhiyong Du, Li Xie and Chunbo Liu. Their work appears in journals such as Scientific Reports, American Heart Journal and Proteins Structure Function and Bioinformatics.
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.