Qing Ke
- Statistics, Probability and Uncertainty top 0.5%
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Information Systems and Management top 5%
- Artificial Intelligence top 10%
- Co-authors
- Filippo RadicchiEmilio FerraraAlessandro FlamminiYong‐Yeol AhnCassidy R. SugimotoHeting ChuAlbert-Ĺaszló BarabásiAlexander J. Gates
- Topics
- scientometrics and bibliometrics research (11 papers)Complex Network Analysis Techniques (10 papers)Technology Adoption and User Behaviour (4 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementStatistical and Nonlinear Physics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qing Ke
35 papers receiving 835 citations
Peers
Comparison fields: 5 of 136
- Statistics, Probability and Uncertainty 305
- Sociology and Political Science 164
- Statistical and Nonlinear Physics 157
- Information Systems and Management 137
- Artificial Intelligence 136
Countries citing papers authored by Qing Ke
This map shows the geographic impact of Qing Ke'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 Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Ke more than expected).
Fields of papers citing papers by Qing Ke
This network shows the impact of papers produced by Qing Ke. 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 Ke. The network helps show where Qing Ke may publish in the future.
Co-authorship network of co-authors of Qing Ke
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ke. A scholar is included among the top collaborators of Qing Ke 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 Ke. Qing Ke 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 | 2 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 37 | |
| 10 | 109 | |
| 11 | 55 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 19 | |
| 17 | Advances of Research on Technology——Acceptance Model | 2 |
| 18 | Advances of Research on Technology Acceptance Model——Meta-analysis | 3 |
| 19 | 5 | |
| 20 | Analysis and Consideration on the Business Action of Search Engine | 0 |
About Qing Ke
Qing Ke is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and Statistical and Nonlinear Physics, having authored 39 papers that have together received 874 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (11 papers), Complex Network Analysis Techniques (10 papers) and Technology Adoption and User Behaviour (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (305 citations), Information Systems and Management (137 citations) and Statistical and Nonlinear Physics (157 citations). Qing Ke has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Filippo Radicchi, Emilio Ferrara, Alessandro Flammini, Yong‐Yeol Ahn, Cassidy R. Sugimoto, Heting Chu, Albert-Ĺaszló Barabási, Alexander J. Gates, Ying Cheng and Onur Varol. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.
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.