Haochen Liu
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 11
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- Video Surveillance and Tracking Methods 3
- Building and Construction top 10%
- Traffic Prediction and Management Techniques 3
- Control and Systems Engineering top 10%
- Traffic control and management 4
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- Traffic and Road Safety 2
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- Time Series Analysis and Forecasting 2
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- Inertial Sensor and Navigation 2
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- Anomaly Detection Techniques and Applications 2
Haochen Liu
13 papers receiving 293 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Automotive Engineering 185
- Computer Vision and Pattern Recognition 84
- Building and Construction 52
- Control and Systems Engineering 73
- Safety, Risk, Reliability and Quality 23
Countries citing papers authored by Haochen Liu
This map shows the geographic impact of Haochen 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 Haochen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Liu more than expected).
Fields of papers citing papers by Haochen Liu
This network shows the impact of papers produced by Haochen 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 Haochen Liu. The network helps show where Haochen Liu may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Haochen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | Human-Guided Continual Learning for Personalized Decision-Making of Autonomous Drivingbreakdown → | 2025 | 16 |
| 3 | 2024 | 8 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 25 | |
| 8 | 2023 | 35 | |
| 9 | 2023 | 52 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 60 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 60 |
About Haochen Liu
Haochen Liu is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Building and Construction, Safety, Risk, Reliability and Quality and Signal Processing, having authored 15 papers that have together received 299 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (11 papers), Traffic control and management (4 papers), Traffic Prediction and Management Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Traffic and Road Safety (2 papers), Time Series Analysis and Forecasting (2 papers), Inertial Sensor and Navigation (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Automotive Engineering (185 citations), Computer Vision and Pattern Recognition (84 citations), Building and Construction (52 citations), Control and Systems Engineering (73 citations) and Safety, Risk, Reliability and Quality (23 citations). Haochen Liu has collaborated with scholars based in Singapore, China and Sweden. Frequent co-authors include Chen Lv, Zhiyu Huang, Jingda Wu, Xiaoyu Mo, Haohan Yang, Anh‐Tu Nguyen, Thierry‐Marie Guerra, Zhongxu Hu, Yang Xing and Wenhui Huang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Vehicles, IEEE Internet of Things Journal 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.