Xiao Ling
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Daniel S. WeldRaphael HoffmannCongle ZhangLuke ZettlemoyerGuoqiang ZhongLina WangYongjun ZhangSameer Singh
- Topics
- Topic Modeling (8 papers)Advanced Vision and Imaging (7 papers)Advanced Image Fusion Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiao Ling
61 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 978
- Computer Vision and Pattern Recognition 379
- Information Systems 203
- Computer Networks and Communications 181
- Management Science and Operations Research 153
Countries citing papers authored by Xiao Ling
This map shows the geographic impact of Xiao Ling'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 Xiao Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Ling more than expected).
Fields of papers citing papers by Xiao Ling
This network shows the impact of papers produced by Xiao Ling. 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 Xiao Ling. The network helps show where Xiao Ling may publish in the future.
Co-authorship network of co-authors of Xiao Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Ling. A scholar is included among the top collaborators of Xiao Ling 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 Xiao Ling. Xiao Ling 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 18 | |
| 9 | 10 | |
| 10 | 69 | |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 37 | |
| 14 | 1 | |
| 15 | Synthesizing union tables from the web | 18 |
| 16 | Architecture design for management as a service cloud | 1 |
| 17 | 10 | |
| 18 | Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relationsbreakdown → | 542 |
| 19 | Machine Reading at the University of Washington | 22 |
| 20 | 41 |
About Xiao Ling
Xiao Ling is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Acoustics and Ultrasonics, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (978 citations), Computer Vision and Pattern Recognition (379 citations) and Media Technology (119 citations). Xiao Ling has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Daniel S. Weld, Raphael Hoffmann, Congle Zhang, Luke Zettlemoyer, Daniel S. Weld, Guoqiang Zhong, Lina Wang, Yongjun Zhang, Sameer Singh and Junyu Dong. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.
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.