Jie Lü
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 0.05%
- Data Stream Mining Techniques
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Machine Learning and ELM
Papers in
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- Data Stream Mining Techniques 72
- Domain Adaptation and Few-Shot Learning 65
- Machine Learning and ELM 41
- Anomaly Detection Techniques and Applications 39
- Machine Learning and Data Classification 35
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- Recommender Systems and Techniques 75
- Co-authors
- Guangquan Zhang (251 shared papers)Dianshuang Wu (17 shared papers)Mingsong Mao (4 shared papers)Feng Liu (24 shared papers)Hua Zuo (28 shared papers)Qusai Y. Shambour (10 shared papers)Jun Ma (19 shared papers)Vahid Behbood (13 shared papers)
- Journals
- IEEE Transactions on Fuzzy Systems (30 papers)IEEE Transactions on Cybernetics (19 papers)Information Sciences (18 papers)Neurocomputing (16 papers)IEEE Transactions on Neural Networks and Learning Systems (16 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Jie Lü
604 papers receiving 16.4k citations
Jie Lü's Hit Papers
Peers
Comparison fields: 5 of 208
- Management Science and Operations Research 2.7k
- Artificial Intelligence 6.7k
- Information Systems 4.2k
- Computer Vision and Pattern Recognition 2.2k
- Computer Science Applications 465
Countries citing papers authored by Jie Lü
This map shows the geographic impact of Jie Lü'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 Jie Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Lü more than expected).
Fields of papers citing papers by Jie Lü
This network shows the impact of papers produced by Jie Lü. 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 Jie Lü. The network helps show where Jie Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie Lü, 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 638 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recommender system application developments: A survey Hit paper breakdown → | 2015 | 1072 |
| 2 | Transfer learning using computational intelligence: A survey Hit paper breakdown → | 2015 | 757 |
| 3 | Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors Hit paper breakdown → | 2020 | 465 |
| 4 | 2002 | 361 | |
| 5 | Artificial intelligence in recommender systems Hit paper breakdown → | 2020 | 253 |
| 6 | Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques | 2007 | 231 |
| 7 | 2010 | 218 | |
| 8 | 2007 | 189 | |
| 9 | 2013 | 177 | |
| 10 | 2009 | 153 | |
| 11 | 2013 | 150 | |
| 12 | 2020 | 148 | |
| 13 | 2016 | 147 | |
| 14 | 2014 | 136 | |
| 15 | 2013 | 134 | |
| 16 | 2009 | 131 | |
| 17 | 2016 | 130 | |
| 18 | 2012 | 125 | |
| 19 | 2012 | 123 | |
| 20 | 2018 | 116 |
About Jie Lü
Jie Lü is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 638 papers that have together received 17.0k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (75 papers), Data Stream Mining Techniques (72 papers), Domain Adaptation and Few-Shot Learning (65 papers), Multi-Criteria Decision Making (59 papers), Optimization and Mathematical Programming (52 papers), Machine Learning and ELM (41 papers), Anomaly Detection Techniques and Applications (39 papers) and Machine Learning and Data Classification (35 papers). The work is most often cited by research in Management Science and Operations Research (2.7k citations), Artificial Intelligence (6.7k citations), Information Systems (4.2k citations), Computer Vision and Pattern Recognition (2.2k citations) and Computer Science Applications (465 citations). Jie Lü has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Guangquan Zhang, Dianshuang Wu, Mingsong Mao, Feng Liu, Hua Zuo, Qusai Y. Shambour, Jun Ma, Vahid Behbood, Qian Zhang and Da Ruan. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, Information Sciences, Neurocomputing and IEEE Transactions on Neural Networks and Learning 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.