Fangchen Liu
Impact in
-
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
Papers in
-
- Microbial Natural Products and Biosynthesis 2
-
- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 2
- Co-authors
- Fisher YuHaofeng ChenYingying ChenTrevor DarrellXin WangVashisht MadhavanWenqi XianPieter Abbeel
- Journals
- Lab on a Chip (3 papers)Frontiers in Microbiology (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Scientific Reports (1 paper)IEEE Transactions on Microwave Theory and Techniques (1 paper)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Fangchen Liu
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 1.1k
- Automotive Engineering 336
- Artificial Intelligence 491
- Media Technology 93
- Safety, Risk, Reliability and Quality 61
Countries citing papers authored by Fangchen Liu
This map shows the geographic impact of Fangchen 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 Fangchen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangchen Liu more than expected).
Fields of papers citing papers by Fangchen Liu
This network shows the impact of papers produced by Fangchen 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 Fangchen Liu. The network helps show where Fangchen Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangchen 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 14 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 13 | |
| 14 | State Alignment-based Imitation Learning | 2020 | 2 |
| 15 | 2020 | 21 | |
| 16 | 2020 | 7 | |
| 17 | BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Hit paper breakdown → | 2020 | 1374 |
| 18 | Mapping State Space using Landmarks for Universal Goal Reaching | 2019 | 3 |
| 19 | 2019 | 5 | |
| 20 | 2018 | 1 |
About Fangchen Liu
Fangchen Liu is a scholar working on Pharmacology, Computer Vision and Pattern Recognition, Biotechnology, Environmental Chemistry and Artificial Intelligence, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Robot Manipulation and Learning (3 papers), Reinforcement Learning in Robotics (3 papers), Multimodal Machine Learning Applications (3 papers), Algal biology and biofuel production (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Gear and Bearing Dynamics Analysis (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Automotive Engineering (336 citations), Artificial Intelligence (491 citations), Media Technology (93 citations) and Safety, Risk, Reliability and Quality (61 citations). Fangchen Liu has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Fisher Yu, Haofeng Chen, Yingying Chen, Trevor Darrell, Xin Wang, Vashisht Madhavan, Wenqi Xian, Pieter Abbeel, Kimin Lee and Mingming Wu. Their work appears in journals such as Lab on a Chip, Frontiers in Microbiology, Analytical and Bioanalytical Chemistry, Scientific Reports and IEEE Transactions on Microwave Theory and Techniques.
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.