Zhaoyan Ming
About
In The Last Decade
Zhaoyan Ming
43 papers receiving 851 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 566
- Information Systems 402
- Computer Vision and Pattern Recognition 158
- Computer Science Applications 95
- Public Health, Environmental and Occupational Health 59
Countries citing papers authored by Zhaoyan Ming
This map shows the geographic impact of Zhaoyan Ming'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 Zhaoyan Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoyan Ming more than expected).
Fields of papers citing papers by Zhaoyan Ming
This network shows the impact of papers produced by Zhaoyan Ming. 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 Zhaoyan Ming. The network helps show where Zhaoyan Ming may publish in the future.
Co-authorship network of co-authors of Zhaoyan Ming
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoyan Ming. A scholar is included among the top collaborators of Zhaoyan Ming 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 Zhaoyan Ming. Zhaoyan Ming is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 24 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 37 | |
| 11 | 3 | |
| 12 | 20 | |
| 13 | Visually-aware Collaborative Food Recommendation. | 3 |
| 14 | 6 | |
| 15 | Tackling data sparseness in recommendation using social media based topic hierarchy modeling | 3 |
| 16 | 5 | |
| 17 | SSHLDA: A Semi-Supervised Hierarchical Topic Model | 36 |
| 18 | The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval | 16 |
| 19 | 22 | |
| 20 | 158 |
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.