Xingchi Liu
Impact in
- Computational Mechanics top 10%
- Granular flow and fluidized beds
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics Simulations and Interactions
Papers in
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- Advanced Sensor and Energy Harvesting Materials 6
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- Target Tracking and Data Fusion in Sensor Networks 5
- Gaussian Processes and Bayesian Inference 5
- Co-authors
- Wei Ge (4 shared papers)Ji Xu (3 shared papers)Bona Lu (1 shared paper)Wei Wang (1 shared paper)Sangarapillai Lambotharan (4 shared papers)Mahsa Derakhshani (4 shared papers)Peng Zhao (1 shared paper)Junwu Wang (1 shared paper)
- Journals
- IEEE Communications Letters (1 paper)Physics of Fluids (1 paper)Biosensors and Bioelectronics (1 paper)RSC Advances (1 paper)Powder Technology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xingchi Liu
28 papers receiving 314 citations
Peers
Comparison fields: 5 of 64
- Computational Mechanics 126
- Bioengineering 20
- Biomedical Engineering 112
- Ocean Engineering 38
- Polymers and Plastics 34
Countries citing papers authored by Xingchi Liu
This map shows the geographic impact of Xingchi 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 Xingchi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingchi Liu more than expected).
Fields of papers citing papers by Xingchi Liu
This network shows the impact of papers produced by Xingchi 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 Xingchi Liu. The network helps show where Xingchi Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingchi 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 53 | |
| 2 | 2020 | 44 | |
| 3 | 2019 | 32 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2020 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2022 | 4 |
About Xingchi Liu
Xingchi Liu is a scholar working on Biomedical Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 30 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Fluid Dynamics Simulations and Interactions (4 papers), Lattice Boltzmann Simulation Studies (4 papers), Granular flow and fluidized beds (4 papers), Distributed Sensor Networks and Detection Algorithms (3 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Computational Mechanics (126 citations), Bioengineering (20 citations), Biomedical Engineering (112 citations), Ocean Engineering (38 citations) and Polymers and Plastics (34 citations). Xingchi Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wei Ge, Ji Xu, Bona Lu, Wei Wang, Sangarapillai Lambotharan, Mahsa Derakhshani, Peng Zhao, Junwu Wang, Lyudmila Mihaylova and Xianhui An. Their work appears in journals such as IEEE Communications Letters, Physics of Fluids, Biosensors and Bioelectronics, RSC Advances and Powder Technology.
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.