Jie Lü
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- Multi-Criteria Decision Making 59
- Artificial Intelligence top 0.05%
- Data Stream Mining Techniques 71
- Domain Adaptation and Few-Shot Learning 63
- Machine Learning and ELM 43
- Anomaly Detection Techniques and Applications 37
- Machine Learning and Data Classification 35
- Information Systems top 0.05%
- Recommender Systems and Techniques 74
- Computer Science Applications top 0.5%
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- Optimization and Mathematical Programming 52
- Co-authors
- Guangquan ZhangDianshuang WuHua ZuoMingsong MaoFeng LiuVahid BehboodQusai Y. ShambourJun Ma
- Journals
- IEEE Transactions on Fuzzy Systems (32 papers)IEEE Transactions on Cybernetics (19 papers)Information Sciences (18 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Jie Lü
594 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Management Science and Operations Research 2.7k
- Artificial Intelligence 6.8k
- Information Systems 4.2k
- Computer Vision and Pattern Recognition 2.3k
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 24 | |
| 14 | 2021 | 1 | |
| 15 | 2017 | 71 | |
| 16 | 2017 | 6 | |
| 17 | 2016 | 119 | |
| 18 | Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques | 2007 | 230 |
| 19 | Multi-Objective Group Decision Making:Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM) | 2007 | 0 |
| 20 | MULTI-FOLLOWER LINEAR BILEVEL PROGRAMMING: MODEL AND KUHN-TUCKER APPROACH | 2005 | 4 |
About Jie Lü
Jie Lü is a scholar working on Management Science and Operations Research, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Statistics, Probability and Uncertainty, having authored 631 papers that have together received 16.8k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (74 papers), Data Stream Mining Techniques (71 papers), Domain Adaptation and Few-Shot Learning (63 papers), Multi-Criteria Decision Making (59 papers), Optimization and Mathematical Programming (52 papers), Machine Learning and ELM (43 papers), Anomaly Detection Techniques and Applications (37 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 (6.8k citations), Information Systems (4.2k citations), Computer Vision and Pattern Recognition (2.3k 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, Hua Zuo, Mingsong Mao, Feng Liu, Vahid Behbood, Qusai Y. Shambour, Jun Ma, Qian Zhang and Da Ruan. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, Information Sciences, IEEE Transactions on Neural Networks and Learning Systems 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.