Furui Liu

1.8k total citations · 1 hit paper
41 papers, 1.1k citations indexed

About

Furui Liu is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Furui Liu has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Molecular Biology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Furui Liu's work include Domain Adaptation and Few-Shot Learning (5 papers), Single-cell and spatial transcriptomics (4 papers) and Machine Learning and Algorithms (3 papers). Furui Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Single-cell and spatial transcriptomics (4 papers) and Machine Learning and Algorithms (3 papers). Furui Liu collaborates with scholars based in China, Hong Kong and United Kingdom. Furui Liu's co-authors include Yu Zheng, Hsun-Ping Hsieh, Pheng‐Ann Heng, Guangyong Chen, Jianye Hao, Wei Hao, Juzheng Miao, Cheng Chen, Chao Shen and Odin Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.

In The Last Decade

Furui Liu

38 papers receiving 1.1k citations

Hit Papers

U-Air 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Furui Liu China 11 377 242 233 183 153 41 1.1k
Moustafa Ghanem United Kingdom 20 117 0.3× 62 0.3× 24 0.1× 277 1.5× 123 0.8× 66 1.5k
Raquel Martínez‐España Spain 18 159 0.4× 46 0.2× 16 0.1× 268 1.5× 41 0.3× 80 938
Dimitris Margaritis United States 15 74 0.2× 55 0.2× 40 0.2× 357 2.0× 79 0.5× 37 858
Mercedes G. Merayo Spain 16 109 0.3× 76 0.3× 46 0.2× 116 0.6× 14 0.1× 72 803
Taoying Li China 13 195 0.5× 132 0.5× 25 0.1× 167 0.9× 52 0.3× 54 683
Fei Teng China 15 56 0.1× 33 0.1× 54 0.2× 284 1.6× 91 0.6× 51 860
Zhaoyuan Wang China 12 136 0.4× 103 0.4× 101 0.4× 110 0.6× 5 0.0× 44 801
Yangyang Zhao China 14 66 0.2× 54 0.2× 51 0.2× 151 0.8× 12 0.1× 57 885
Hao Chen China 23 163 0.4× 7 0.0× 270 1.2× 367 2.0× 40 0.3× 111 1.5k
Laura Po Italy 14 64 0.2× 26 0.1× 44 0.2× 234 1.3× 55 0.4× 54 463

Countries citing papers authored by Furui Liu

Since Specialization
Citations

This map shows the geographic impact of Furui 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 Furui Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Furui Liu more than expected).

Fields of papers citing papers by Furui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Furui 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 Furui Liu. The network helps show where Furui Liu may publish in the future.

Co-authorship network of co-authors of Furui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Furui Liu. A scholar is included among the top collaborators of Furui Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Furui Liu. Furui Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Yunqi, Tianjiao Zeng, Furui Liu, et al.. (2025). Illuminating the unseen: Advancing MRI domain generalization through causality. Medical Image Analysis. 101. 103459–103459. 1 indexed citations
2.
Chen, Liang, Jiezhong Qiu, Furui Liu, et al.. (2024). DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15456–15465. 2 indexed citations
3.
Liu, Furui, et al.. (2024). CoT: a transformer-based method for inferring tumor clonal copy number substructure from scDNA-seq data. Briefings in Bioinformatics. 25(3). 2 indexed citations
4.
Yu, Zhenhua, Furui Liu, & Yang Li. (2024). scTCA: a hybrid Transformer-CNN architecture for imputation and denoising of scDNA-seq data. Briefings in Bioinformatics. 25(6).
5.
Li, Xin, Xiaolong Chen, Furui Liu, et al.. (2024). Open Set Object Detection in Complex Petrochemical Scenes. 35. 1–7. 1 indexed citations
6.
Wei, Hao, Peilun Shi, Juzheng Miao, et al.. (2024). CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading. Computers in Biology and Medicine. 175. 108459–108459. 4 indexed citations
7.
Cai, Ruichu, et al.. (2024). Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11132–11140. 2 indexed citations
8.
Liu, Furui, Fangyuan Shi, & Zhenhua Yu. (2024). Inferring single-cell copy number profiles through cross-cell segmentation of read counts. BMC Genomics. 25(1). 25–25. 3 indexed citations
9.
Yu, Yang, Furui Liu, Qi Dou, et al.. (2024). ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16587–16595. 5 indexed citations
10.
Yang, Ming, et al.. (2024). Team-wise effective communication in multi-agent reinforcement learning. Autonomous Agents and Multi-Agent Systems. 38(2). 4 indexed citations
11.
Kuang, Kun, Ruoxuan Xiong, Yuxuan Liu, et al.. (2023). Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10324–10332. 3 indexed citations
12.
Cai, Guohao, Furui Liu, Zhenhua Dong, et al.. (2023). Debiased Recommendation with User Feature Balancing. ACM Transactions on Information Systems. 41(4). 1–25. 7 indexed citations
13.
Zhang, Xujun, Odin Zhang, Chao Shen, et al.. (2023). Efficient and accurate large library ligand docking with KarmaDock. Nature Computational Science. 3(9). 789–804. 80 indexed citations
14.
Liu, Furui, et al.. (2023). Specify Robust Causal Representation from Mixed Observations. 2978–2987. 2 indexed citations
15.
Tian, Qi, Kun Kuang, Furui Liu, & Baoxiang Wang. (2023). Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11672–11680. 2 indexed citations
16.
Liu, Furui, et al.. (2023). RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. 3312–3322. 3 indexed citations
17.
Wang, Kerong, Furui Liu, Hui‐Ling Zhen, et al.. (2021). Learning to select cuts for efficient mixed-integer programming. Pattern Recognition. 123. 108353–108353. 26 indexed citations
18.
Man, Shuli, Panpan Lv, JingXia Cui, et al.. (2020). Paris saponin II-induced paraptosis-associated cell death increased the sensitivity of cisplatin. Toxicology and Applied Pharmacology. 406. 115206–115206. 27 indexed citations
19.
Zhou, Ziyao, Xiaoxiao Zhou, Jin Li, et al.. (2015). Transcriptional Regulation and Adaptation to a High-Fiber Environment in Bacillus subtilis HH2 Isolated from Feces of the Giant Panda. PLoS ONE. 10(2). e0116935–e0116935. 11 indexed citations
20.
Zheng, Yu, Furui Liu, & Hsun-Ping Hsieh. (2013). U-Air. 1436–1444. 680 indexed citations breakdown →

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.

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