Congfu Xu
Impact in
- Information Systems top 2%
- Recommender Systems and Techniques
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
-
- Recommender Systems and Techniques 20
- Data Mining Algorithms and Applications 11
- Expert finding and Q&A systems 5
- Spam and Phishing Detection 5
-
- Topic Modeling 6
- Text and Document Classification Technologies 6
- Advanced Graph Neural Networks 5
- Co-authors
- Weike Pan (7 shared papers)Hao Zhong (3 shared papers)Zhong Ming (3 shared papers)Yunhe Pan (12 shared papers)Yong Liu (8 shared papers)Yunliang Jiang (3 shared papers)Zhihua Zhang (1 shared paper)Guang Dai (1 shared paper)
- Journals
- IEEE Intelligent Systems (2 papers)Knowledge-Based Systems (2 papers)Multimedia Tools and Applications (1 paper)Information Sciences (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Congfu Xu
58 papers receiving 578 citations
Peers
Comparison fields: 5 of 85
- Information Systems 288
- Artificial Intelligence 276
- Computer Vision and Pattern Recognition 174
- Management Science and Operations Research 103
- Geology 36
Countries citing papers authored by Congfu Xu
This map shows the geographic impact of Congfu 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 Congfu Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congfu Xu more than expected).
Fields of papers citing papers by Congfu Xu
This network shows the impact of papers produced by Congfu 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 Congfu Xu. The network helps show where Congfu Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Congfu Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 112 | |
| 2 | 2010 | 56 | |
| 3 | 2005 | 50 | |
| 4 | 2020 | 39 | |
| 5 | 2015 | 28 | |
| 6 | 2008 | 24 | |
| 7 | 2006 | 23 | |
| 8 | 2019 | 18 | |
| 9 | 2014 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2014 | 15 | |
| 13 | 2004 | 13 | |
| 14 | 2010 | 13 | |
| 15 | Getting Mobile Beacon Path for Sensor Localization | 2008 | 10 |
| 16 | 2008 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2005 | 9 | |
| 19 | 2006 | 8 | |
| 20 | 2013 | 8 |
About Congfu Xu
Congfu Xu is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 63 papers that have together received 604 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (20 papers), Rough Sets and Fuzzy Logic (14 papers), Data Mining Algorithms and Applications (11 papers), Topic Modeling (6 papers), Text and Document Classification Technologies (6 papers), Expert finding and Q&A systems (5 papers), Spam and Phishing Detection (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Information Systems (288 citations), Artificial Intelligence (276 citations), Computer Vision and Pattern Recognition (174 citations), Management Science and Operations Research (103 citations) and Geology (36 citations). Congfu Xu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Weike Pan, Hao Zhong, Zhong Ming, Yunhe Pan, Yong Liu, Yunliang Jiang, Zhihua Zhang, Guang Dai, Michael I. Jordan and Yi Cao. Their work appears in journals such as IEEE Intelligent Systems, Knowledge-Based Systems, Multimedia Tools and Applications, Information Sciences and Neurocomputing.
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.