Shunqin Wang
- Health, Toxicology and Mutagenesis top 2%
- Pollution top 5%
- Speech and Hearing top 5%
- Modeling and Simulation top 5%
- Nutrition and Dietetics
- Co-authors
- Jinliang ZhangYong-Ju YangShuyun ChenYimin ZengHassan Kamil JassimMinquan DuShuyu YangJingsong Liu
- Topics
- Fractional Differential Equations Solutions (6 papers)Heavy Metal Exposure and Toxicity (5 papers)Iterative Methods for Nonlinear Equations (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentEnvironmental Health Perspectives
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Shunqin Wang
26 papers receiving 697 citations
Peers
Comparison fields: 5 of 123
- Health, Toxicology and Mutagenesis 384
- Pollution 226
- Speech and Hearing 102
- Modeling and Simulation 79
- Nutrition and Dietetics 70
Countries citing papers authored by Shunqin Wang
This map shows the geographic impact of Shunqin 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 Shunqin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunqin Wang more than expected).
Fields of papers citing papers by Shunqin Wang
This network shows the impact of papers produced by Shunqin 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 Shunqin Wang. The network helps show where Shunqin Wang may publish in the future.
Co-authorship network of co-authors of Shunqin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shunqin Wang. A scholar is included among the top collaborators of Shunqin 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 Shunqin Wang. Shunqin 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 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 49 | |
| 11 | 73 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | Analysis of blood lead levels and changing trend in children in China. | 2 |
| 15 | 172 | |
| 16 | 169 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 126 | |
| 20 | Prime Ideal and Weakly Prime Ideal of the Quantale | 3 |
About Shunqin Wang
Shunqin Wang is a scholar working on Modeling and Simulation, Numerical Analysis and Health, Toxicology and Mutagenesis, having authored 27 papers that have together received 717 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (6 papers), Heavy Metal Exposure and Toxicity (5 papers) and Iterative Methods for Nonlinear Equations (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (384 citations), Pollution (226 citations) and Modeling and Simulation (79 citations). Shunqin Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Jinliang Zhang, Yong-Ju Yang, Shuyun Chen, Yimin Zeng, Hassan Kamil Jassim, Minquan Du, Shuyu Yang, Jingsong Liu, Jiayi Lin and Fan Cai. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Health Perspectives.
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.