Changzhong Wang
- Computational Theory and Mathematics top 0.1%
- Artificial Intelligence top 0.5%
- Information Systems top 0.2%
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 1%
- Co-authors
- Degang ChenQinghua HuMingwen ShaoYuhua QianYang HuangXiaodong FanJing ShaoDaqiang Wu
- Topics
- Rough Sets and Fuzzy Logic (63 papers)Data Mining Algorithms and Applications (34 papers)Antifungal resistance and susceptibility (28 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Changzhong Wang
181 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computational Theory and Mathematics 2.6k
- Artificial Intelligence 1.6k
- Information Systems 1.5k
- Computer Vision and Pattern Recognition 610
- Management Science and Operations Research 596
Countries citing papers authored by Changzhong Wang
This map shows the geographic impact of Changzhong 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 Changzhong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changzhong Wang more than expected).
Fields of papers citing papers by Changzhong Wang
This network shows the impact of papers produced by Changzhong 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 Changzhong Wang. The network helps show where Changzhong Wang may publish in the future.
Co-authorship network of co-authors of Changzhong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Changzhong Wang. A scholar is included among the top collaborators of Changzhong 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 Changzhong Wang. Changzhong 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 | 3 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 33 | |
| 16 | 8 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 213 | |
| 20 | Inhibitory activity of Phillyrin and Baicalin against Staphylococcus epidermidis biofilm. | 1 |
About Changzhong Wang
Changzhong Wang is a scholar working on Computational Theory and Mathematics, Microbiology and Computer Vision and Pattern Recognition, having authored 194 papers that have together received 4.1k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (63 papers), Data Mining Algorithms and Applications (34 papers) and Antifungal resistance and susceptibility (28 papers). The work is most often cited by research in Computational Theory and Mathematics (2.6k citations), Information Systems (1.5k citations) and Artificial Intelligence (1.6k citations). Changzhong Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Degang Chen, Qinghua Hu, Mingwen Shao, Yuhua Qian, Yang Huang, Xiaodong Fan, Jing Shao, Daqiang Wu, Weiping Ding and Yali Qi. Their work appears in journals such as Chemical Communications, Journal of Bacteriology and Construction and Building Materials.
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.