Weijia Xu
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Daniel P. MirankerMarine CarpuatSaab MansourBatool A HaiderMaría EstevaRuizhu HuangRui MaoRobin R. Gutell
- Topics
- Topic Modeling (18 papers)Natural Language Processing Techniques (15 papers)Scientific Computing and Data Management (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Weijia Xu
86 papers receiving 675 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 305
- Molecular Biology 159
- Information Systems 135
- Computer Networks and Communications 112
- Computer Vision and Pattern Recognition 105
Countries citing papers authored by Weijia Xu
This map shows the geographic impact of Weijia Xu'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 Weijia Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijia Xu more than expected).
Fields of papers citing papers by Weijia Xu
This network shows the impact of papers produced by Weijia Xu. 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 Weijia Xu. The network helps show where Weijia Xu may publish in the future.
Co-authorship network of co-authors of Weijia Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Weijia Xu. A scholar is included among the top collaborators of Weijia Xu 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 Weijia Xu. Weijia Xu 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 | 4 | |
| 4 | 7 | |
| 5 | 72 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Domain Informational Vocabulary Extraction Experiences with Publication Pipeline Integration and Ontology Curation. | 1 |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | Lost in the Data, Aerial Views of an Archaeological Collection. | 0 |
| 14 | 19 | |
| 15 | 6 | |
| 16 | Finding Stories in the Archive through Paragraph Alignment. | 2 |
| 17 | 2 | |
| 18 | Vector Space Model-Based Document Clustering Research | 1 |
| 19 | 6 | |
| 20 | 2 |
About Weijia Xu
Weijia Xu is a scholar working on Information Systems and Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 712 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (15 papers) and Scientific Computing and Data Management (12 papers). The work is most often cited by research in Artificial Intelligence (305 citations), Information Systems and Management (58 citations) and Signal Processing (68 citations). Weijia Xu has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Daniel P. Miranker, Marine Carpuat, Saab Mansour, Batool A Haider, María Esteva, Ruizhu Huang, Rui Mao, Robin R. Gutell, Aihua Li and Kai Shi. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics 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.