Yue Wang
About
In The Last Decade
Yue Wang
135 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 1.1k
- Molecular Biology 596
- Information Systems 336
- Computer Vision and Pattern Recognition 186
- Computer Networks and Communications 152
Countries citing papers authored by Yue Wang
This map shows the geographic impact of Yue 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 Yue Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Wang more than expected).
Fields of papers citing papers by Yue Wang
This network shows the impact of papers produced by Yue 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 Yue Wang. The network helps show where Yue Wang may publish in the future.
Co-authorship network of co-authors of Yue Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Wang. A scholar is included among the top collaborators of Yue 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 Yue Wang. Yue 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | A Novel Cascade Binary Tagging Framework for Relational Triple Extraction breakdown → | 309 |
| 11 | UNC SILS at TREC 2019 News Track. | 2 |
| 12 | The APVA-TURBO Approach To Question Answering in Knowledge Base | 12 |
| 13 | Combining Term-based and Concept-based Representation for Clinical Retrieval. | 2 |
| 14 | Exploring the Query Expansion Methods for Concept Based Representation. | 5 |
| 15 | WUST at NTCIR-11 RITE-VAL System Validation Task | 1 |
| 16 | A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track | 5 |
| 17 | The Genia Event Extraction Shared Task, 2013 Edition - Overview | 63 |
| 18 | PubAnnotation - a persistent and sharable corpus and annotation repository | 33 |
| 19 | Exploiting Domain Thesaurus for Medical Record Retrieval | 12 |
| 20 | Application of artificial neural network in decision-making of comprehensive evaluation | 0 |
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.