Erjia Yan
About
In The Last Decade
Erjia Yan
81 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Statistics, Probability and Uncertainty 1.0k
- Information Systems 815
- Statistical and Nonlinear Physics 734
- Artificial Intelligence 654
- Sociology and Political Science 346
Countries citing papers authored by Erjia Yan
This map shows the geographic impact of Erjia Yan'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 Erjia Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erjia Yan more than expected).
Fields of papers citing papers by Erjia Yan
This network shows the impact of papers produced by Erjia Yan. 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 Erjia Yan. The network helps show where Erjia Yan may publish in the future.
Co-authorship network of co-authors of Erjia Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Erjia Yan. A scholar is included among the top collaborators of Erjia Yan 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 Erjia Yan. Erjia Yan 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 | 14 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 17 | |
| 9 | Using a keyword extraction pipeline to understand concepts in future work sections of research papers. | 2 |
| 10 | 16 | |
| 11 | 33 | |
| 12 | Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis breakdown → | 494 |
| 13 | 5 | |
| 14 | 26 | |
| 15 | 48 | |
| 16 | 11 | |
| 17 | A Bootstrapping Method to Assess Software Impact in Full-Text Papers. | 2 |
| 18 | 70 | |
| 19 | 200 | |
| 20 | 58 |
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.