Hao Luo
Impact in
- Control and Systems Engineering top 0.1%
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Advanced Control Systems Optimization
- Control Systems and Identification
Papers in
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- Fault Detection and Control Systems 110
- Advanced Control Systems Optimization 38
- Machine Fault Diagnosis Techniques 38
- Control Systems and Identification 31
- Smart Grid Security and Resilience 14
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- Anomaly Detection Techniques and Applications 14
- Co-authors
- Shen Yin (84 shared papers)Steven X. Ding (22 shared papers)Yuchen Jiang (71 shared papers)Jiusi Zhang (38 shared papers)Xiaochen Xie (1 shared paper)Xiang Li (29 shared papers)Okyay Kaynak (30 shared papers)Jilun Tian (23 shared papers)
In The Last Decade
Hao Luo
220 papers receiving 7.0k citations
Hao Luo's Hit Papers
Peers
Comparison fields: 5 of 176
- Control and Systems Engineering 4.2k
- Statistics, Probability and Uncertainty 380
- Safety, Risk, Reliability and Quality 433
- Health Informatics 63
- Industrial and Manufacturing Engineering 482
Countries citing papers authored by Hao Luo
This map shows the geographic impact of Hao Luo'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 Hao Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Luo more than expected).
Fields of papers citing papers by Hao Luo
This network shows the impact of papers produced by Hao Luo. 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 Hao Luo. The network helps show where Hao Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Luo, 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 250 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Review on Basic Data-Driven Approaches for Industrial Process Monitoring Hit paper breakdown → | 2014 | 1391 |
| 2 | Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization Hit paper breakdown → | 2013 | 570 |
| 3 | Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism Hit paper breakdown → | 2022 | 293 |
| 4 | Quo vadis artificial intelligence? Hit paper breakdown → | 2022 | 249 |
| 5 | Industrial applications of digital twins Hit paper breakdown → | 2021 | 245 |
| 6 | An integrated multi-head dual sparse self-attention network for remaining useful life prediction Hit paper breakdown → | 2023 | 177 |
| 7 | Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds Hit paper breakdown → | 2023 | 169 |
| 8 | A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition Hit paper breakdown → | 2022 | 153 |
| 9 | An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition Hit paper breakdown → | 2023 | 145 |
| 10 | 2022 | 136 | |
| 11 | A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM Hit paper breakdown → | 2023 | 131 |
| 12 | 2018 | 127 | |
| 13 | 2022 | 123 | |
| 14 | Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives Hit paper breakdown → | 2023 | 118 |
| 15 | 2023 | 104 | |
| 16 | A novel data augmentation approach to fault diagnosis with class-imbalance problem Hit paper breakdown → | 2023 | 96 |
| 17 | A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics Hit paper breakdown → | 2023 | 94 |
| 18 | Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective Hit paper breakdown → | 2024 | 89 |
| 19 | 2016 | 83 | |
| 20 | 2019 | 82 |
About Hao Luo
Hao Luo is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 250 papers that have together received 7.2k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (110 papers), Advanced Control Systems Optimization (38 papers), Machine Fault Diagnosis Techniques (38 papers), Control Systems and Identification (31 papers), Mineral Processing and Grinding (20 papers), Anomaly Detection Techniques and Applications (14 papers), Smart Grid Security and Resilience (14 papers) and Advanced Battery Technologies Research (12 papers). The work is most often cited by research in Control and Systems Engineering (4.2k citations), Statistics, Probability and Uncertainty (380 citations), Safety, Risk, Reliability and Quality (433 citations), Health Informatics (63 citations) and Industrial and Manufacturing Engineering (482 citations). Hao Luo has collaborated with scholars based in China, Norway and Germany. Frequent co-authors include Shen Yin, Steven X. Ding, Yuchen Jiang, Jiusi Zhang, Xiaochen Xie, Xiang Li, Okyay Kaynak, Jilun Tian, Shimeng Wu and Kuan Li. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, Reliability Engineering & System Safety, IEEE Transactions on Instrumentation and Measurement and Automatica.
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.