Linghao Chen
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- Advanced Vision and Imaging 4
- Advanced Neural Network Applications 2
- Geology top 10%
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 3
- Computational Mechanics top 10%
- Fluid Dynamics Simulations and Interactions 4
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- Wave and Wind Energy Systems 3
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- Radiomics and Machine Learning in Medical Imaging 2
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- AI in cancer detection 2
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- Robot Manipulation and Learning 2
- Journals
- Ocean Engineering (4 papers)Computer Methods and Programs in Biomedicine (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Linghao Chen
10 papers receiving 353 citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Computer Graphics and Computer-Aided Design 59
- Computer Vision and Pattern Recognition 262
- Geology 59
- Aerospace Engineering 162
- Computational Mechanics 86
Countries citing papers authored by Linghao Chen
This map shows the geographic impact of Linghao Chen'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 Linghao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linghao Chen more than expected).
Fields of papers citing papers by Linghao Chen
This network shows the impact of papers produced by Linghao Chen. 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 Linghao Chen. The network helps show where Linghao Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Linghao Chen, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 38 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 4 | |
| 11 | NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Videobreakdown → | 2021 | 188 |
| 12 | 2020 | 87 |
About Linghao Chen
Linghao Chen is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Ocean Engineering and Human-Computer Interaction, having authored 12 papers that have together received 358 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Fluid Dynamics Simulations and Interactions (4 papers), Wave and Wind Energy Systems (3 papers), Robotics and Sensor-Based Localization (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers), Robot Manipulation and Learning (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (59 citations), Computer Vision and Pattern Recognition (262 citations), Geology (59 citations), Aerospace Engineering (162 citations) and Computational Mechanics (86 citations). Linghao Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xiaowei Zhou, Hujun Bao, Yiming Xie, Jiaming Sun, Qinhong Jiang, Siyu Zhang, Zhuoyang Zhang, Hao Su, Chao Xu and Minghua Liu. Their work appears in journals such as Ocean Engineering, Computer Methods and Programs in Biomedicine, IEEE Robotics and Automation Letters and American Journal Of Pathology.
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.