Gui-Rong Xue
- Artificial Intelligence top 0.2%
- Information Systems top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Topics
- Text and Document Classification Technologies (24 papers)Web Data Mining and Analysis (20 papers)Advanced Image and Video Retrieval Techniques (15 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringPattern Recognition LettersACM Transactions on Information Systems
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Gui-Rong Xue
55 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 2.9k
- Information Systems 1.6k
- Computer Vision and Pattern Recognition 1.3k
- Computer Networks and Communications 378
- Signal Processing 340
Countries citing papers authored by Gui-Rong Xue
This map shows the geographic impact of Gui-Rong Xue'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 Gui-Rong Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui-Rong Xue more than expected).
Fields of papers citing papers by Gui-Rong Xue
This network shows the impact of papers produced by Gui-Rong Xue. 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 Gui-Rong Xue. The network helps show where Gui-Rong Xue may publish in the future.
Co-authorship network of co-authors of Gui-Rong Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Gui-Rong Xue. A scholar is included among the top collaborators of Gui-Rong Xue 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 Gui-Rong Xue. Gui-Rong Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising | 41 |
| 2 | 7 | |
| 3 | 6 | |
| 4 | Proceedings of the 2nd ACM workshop on Social web search and mining | 7 |
| 5 | 14 | |
| 6 | 32 | |
| 7 | 2 | |
| 8 | Can Chinese web pages be classified with english data | 1 |
| 9 | Translated Learning: Transfer Learning across Different Feature Spaces | 190 |
| 10 | 131 | |
| 11 | 93 | |
| 12 | Transferring naive bayes classifiers for text classification | 210 |
| 13 | 48 | |
| 14 | 231 | |
| 15 | TSSP: Multi-features based reinforcement algorithm to find related papers | 5 |
| 16 | 12 | |
| 17 | Microsoft Research Asia at Web Track and Terabyte Track of TREC 2004. | 40 |
| 18 | 158 | |
| 19 | 2 | |
| 20 | User Access Pattern Enhanced Small Web Search | 5 |
About Gui-Rong Xue
Gui-Rong Xue is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 4.6k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (24 papers), Web Data Mining and Analysis (20 papers) and Advanced Image and Video Retrieval Techniques (15 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Information Systems (1.6k citations) and Computer Vision and Pattern Recognition (1.3k citations). Gui-Rong Xue has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yong Yu, Qiang Yang, Wenyuan Dai, Hua-Jun Zeng, Yuqiang Chen, Wensi Xi, Zheng Chen, Chenxi Lin, Zhong Su and Wei‐Ying Ma. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Pattern Recognition Letters and ACM Transactions on Information Systems.
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.