Bin Liu
Impact in
-
- Reliability and Maintenance Optimization
- Software top 1%
- Software Reliability and Analysis Research
Papers in
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- Machine Fault Diagnosis Techniques 38
- Fault Detection and Control Systems 24
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- Reliability and Maintenance Optimization 49
- Co-authors
- Haidong Shao (24 shared papers)Shen Yan (11 shared papers)Min Xie (14 shared papers)Yiming Xiao (14 shared papers)Xiujie Zhao (18 shared papers)Haidong Shao (12 shared papers)Baoping Cai (12 shared papers)Jie Wang (10 shared papers)
- Journals
- Reliability Engineering & System Safety (13 papers)Advanced Engineering Informatics (7 papers)European Journal of Operational Research (6 papers)IEEE Access (5 papers)Expert Systems with Applications (5 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Bin Liu
211 papers receiving 5.5k citations
Bin Liu's Hit Papers
Peers
Comparison fields: 5 of 152
- Safety, Risk, Reliability and Quality 1.4k
- Software 569
- Control and Systems Engineering 2.5k
- Statistics, Probability and Uncertainty 617
- Medical Laboratory Technology 71
Countries citing papers authored by Bin Liu
This map shows the geographic impact of Bin Liu'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 Bin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Liu more than expected).
Fields of papers citing papers by Bin Liu
This network shows the impact of papers produced by Bin Liu. 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 Bin Liu. The network helps show where Bin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Liu, 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 232 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention Hit paper breakdown → | 2023 | 228 |
| 2 | Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network Hit paper breakdown → | 2023 | 196 |
| 3 | Bayesian variational transformer: A generalizable model for rotating machinery fault diagnosis Hit paper breakdown → | 2023 | 188 |
| 4 | Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals Hit paper breakdown → | 2023 | 173 |
| 5 | 2019 | 171 | |
| 6 | Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer Hit paper breakdown → | 2023 | 171 |
| 7 | Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises Hit paper breakdown → | 2022 | 157 |
| 8 | Data Augmentation and Intelligent Fault Diagnosis of Planetary Gearbox Using ILoFGAN Under Extremely Limited Samples Hit paper breakdown → | 2022 | 155 |
| 9 | Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds Hit paper breakdown → | 2024 | 151 |
| 10 | FGDAE: A new machinery anomaly detection method towards complex operating conditions Hit paper breakdown → | 2023 | 146 |
| 11 | Few-Shot Cross-Domain Fault Diagnosis of Bearing Driven by Task-Supervised ANIL Hit paper breakdown → | 2024 | 134 |
| 12 | 2017 | 125 | |
| 13 | 2017 | 116 | |
| 14 | Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization Hit paper breakdown → | 2023 | 109 |
| 15 | 2016 | 108 | |
| 16 | Domain generalization for rotating machinery fault diagnosis: A survey Hit paper breakdown → | 2024 | 92 |
| 17 | 2021 | 90 | |
| 18 | 2011 | 90 | |
| 19 | 2015 | 89 | |
| 20 | 2014 | 85 |
About Bin Liu
Bin Liu is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 232 papers that have together received 5.6k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (49 papers), Machine Fault Diagnosis Techniques (38 papers), Anomaly Detection Techniques and Applications (25 papers), Fault Detection and Control Systems (24 papers), Software Reliability and Analysis Research (21 papers), Statistical Distribution Estimation and Applications (18 papers), Risk and Safety Analysis (17 papers) and Life Cycle Costing Analysis (15 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.4k citations), Software (569 citations), Control and Systems Engineering (2.5k citations), Statistics, Probability and Uncertainty (617 citations) and Medical Laboratory Technology (71 citations). Bin Liu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Haidong Shao, Shen Yan, Min Xie, Yiming Xiao, Xiujie Zhao, Haidong Shao, Baoping Cai, Jie Wang, Way Kuo and Jian Lin. Their work appears in journals such as Reliability Engineering & System Safety, Advanced Engineering Informatics, European Journal of Operational Research, IEEE Access and Expert Systems with Applications.
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.