Yongjian Fu
- Information Systems top 0.5%
- Data Mining Algorithms and Applications 18
- Web Data Mining and Analysis 6
- Recommender Systems and Techniques 5
- Signal Processing top 1%
- Data Management and Algorithms 14
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic 9
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 6
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- Advanced Database Systems and Queries 6
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- Multimodal Machine Learning Applications 6
Yongjian Fu
49 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Information Systems 1.5k
- Signal Processing 690
- Computational Theory and Mathematics 931
- Artificial Intelligence 978
- Computer Networks and Communications 361
Countries citing papers authored by Yongjian Fu
This map shows the geographic impact of Yongjian Fu'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 Yongjian Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongjian Fu more than expected).
Fields of papers citing papers by Yongjian Fu
This network shows the impact of papers produced by Yongjian Fu. 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 Yongjian Fu. The network helps show where Yongjian Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yongjian Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 66 | |
| 7 | 2020 | 22 | |
| 8 | 2018 | 2 | |
| 9 | 2015 | 5 | |
| 10 | A Framework for Personal Web Usage Mining. | 2002 | 17 |
| 11 | Adaptive Web Sites by Web Usage Mining. | 2001 | 7 |
| 12 | 2001 | 4 | |
| 13 | Data mining | 1997 | 67 |
| 14 | DBMiner: a system for mining knowledge in large relational databases | 1996 | 84 |
| 15 | Attribute-oriented induction in data mining | 1996 | 25 |
| 16 | Fast distributed algorithm for mining association rules | 1996 | 24 |
| 17 | Advances of the DBLearn system for knowledge discovery in large databases | 1995 | 2 |
| 18 | Discovery of Multiple-Level Association Rules from Large Databasesbreakdown → | 1995 | 570 |
| 19 | Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases | 1994 | 95 |
| 20 | Cooperative Query Answering Using Multiple Layered Databases. | 1994 | 7 |
About Yongjian Fu
Yongjian Fu is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (18 papers), Data Management and Algorithms (14 papers), Rough Sets and Fuzzy Logic (9 papers), Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Database Systems and Queries (6 papers), Web Data Mining and Analysis (6 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Information Systems (1.5k citations), Signal Processing (690 citations) and Computational Theory and Mathematics (931 citations). Yongjian Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiawei Han, Jiawei Han, Vincent Ng, A.W.-C. Fu, David W. Cheung, Xi Li, Hanbin Zhao, Fei Wu, Krzysztof Koperski and Osmar R. Zaı̈ane. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, IEEE Transactions on Mobile Computing and Endocrinology.
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.