Qing Xie
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Artificial Intelligence
- Genetics
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Pankaj AgarwalMark R. HurleDeepak K. RajpalLei YangPhilippe SanséauMin SongXinyuan ZhangYing Ding
- Topics
- scientometrics and bibliometrics research (8 papers)Topic Modeling (4 papers)Biomedical Text Mining and Ontologies (4 papers)
- Cited by
- Computational Theory and MathematicsStatistics, Probability and UncertaintyMolecular Biology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBMC Bioinformatics
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Qing Xie
35 papers receiving 634 citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 344
- Computational Theory and Mathematics 217
- Artificial Intelligence 73
- Genetics 45
- Statistics, Probability and Uncertainty 41
Countries citing papers authored by Qing Xie
This map shows the geographic impact of Qing Xie'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 Qing Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Xie more than expected).
Fields of papers citing papers by Qing Xie
This network shows the impact of papers produced by Qing Xie. 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 Qing Xie. The network helps show where Qing Xie may publish in the future.
Co-authorship network of co-authors of Qing Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Xie. A scholar is included among the top collaborators of Qing Xie 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 Qing Xie. Qing Xie 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 280 | |
| 18 | [Regional effect research of blood lead concentrations and isotopic fingerprints in four cities by ICP-MS]. | 1 |
| 19 | 10 | |
| 20 | Developing an urban transportation system centered with public transportation——Thinking about the transportation situation of CBD in Guangzhou | 1 |
About Qing Xie
Qing Xie is a scholar working on Statistics, Probability and Uncertainty, General Social Sciences and Information Systems and Management, having authored 39 papers that have together received 643 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (8 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Computational Theory and Mathematics (217 citations), Statistics, Probability and Uncertainty (41 citations) and Molecular Biology (344 citations). Qing Xie has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Pankaj Agarwal, Mark R. Hurle, Deepak K. Rajpal, Lei Yang, Philippe Sanséau, Min Song, Xinyuan Zhang, Xinyuan Zhang, Ying Ding and Robert S. Ames. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC 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.