Fangde Liu

2.3k total citations · 2 hit papers
11 papers, 807 citations indexed

About

Fangde Liu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Fangde Liu has authored 11 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Fangde Liu's work include Soft Robotics and Applications (4 papers), Robotic Path Planning Algorithms (3 papers) and Robotics and Sensor-Based Localization (3 papers). Fangde Liu is often cited by papers focused on Soft Robotics and Applications (4 papers), Robotic Path Planning Algorithms (3 papers) and Robotics and Sensor-Based Localization (3 papers). Fangde Liu collaborates with scholars based in United Kingdom, China and United States. Fangde Liu's co-authors include Yike Guo, Xujiong Ye, David Firmin, Hao Dong, Guang Yang, Simiao Yu, Simon Arridge, Pier Luigi Dragotti, Jennifer Keegan and Greg Slabaugh and has published in prestigious journals such as Nature, IEEE Transactions on Medical Imaging and IEEE Transactions on Cybernetics.

In The Last Decade

Fangde Liu

10 papers receiving 792 citations

Hit Papers

DAGAN: Deep De-Aliasing Generative Adversarial Networks f... 2017 2026 2020 2023 2017 2023 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
    2017 674 citations Guang Yang, Simiao Yu et al. IEEE Transactions on Medical Imaging profile →
  2. Atomic Bose–Einstein condensate in twisted-bilayer optical lattices
    2023 81 citations Zengming Meng, Liangwei Wang et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangde Liu United Kingdom 5 489 242 213 179 112 11 807
Clarice Poon United Kingdom 10 380 0.8× 224 0.9× 159 0.7× 273 1.5× 32 0.3× 20 717
Simiao Yu United Kingdom 3 490 1.0× 194 0.8× 330 1.5× 187 1.0× 41 0.4× 3 834
Matthias J. Ehrhardt United Kingdom 14 429 0.9× 173 0.7× 132 0.6× 184 1.0× 32 0.3× 46 719
Erich Kobler Germany 9 1.0k 2.1× 302 1.2× 193 0.9× 190 1.1× 145 1.3× 19 1.3k
Burhaneddin Yaman United States 13 432 0.9× 114 0.5× 106 0.5× 78 0.4× 76 0.7× 31 603
Jiaming Liu United States 14 318 0.7× 316 1.3× 192 0.9× 116 0.6× 43 0.4× 48 716
Gerardo Hermosillo United States 13 477 1.0× 123 0.5× 366 1.7× 80 0.4× 57 0.5× 25 881
Yoseob Han South Korea 11 766 1.6× 490 2.0× 250 1.2× 119 0.7× 66 0.6× 24 1.0k
Vegard Antun United Kingdom 3 281 0.6× 152 0.6× 72 0.3× 83 0.5× 22 0.2× 5 489
Hyungjin Chung South Korea 10 327 0.7× 126 0.5× 198 0.9× 52 0.3× 48 0.4× 19 598

Countries citing papers authored by Fangde Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fangde Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangde Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangde Liu. A scholar is included among the top collaborators of Fangde 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 Fangde Liu. Fangde Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Mo, Yuanhan, Fangde Liu, Guang Yang, et al.. (2024). Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. Medical Image Analysis. 95. 103196–103196. 2 indexed citations
2.
Meng, Zengming, Liangwei Wang, Wei Han, et al.. (2023). Atomic Bose–Einstein condensate in twisted-bilayer optical lattices. Nature. 615(7951). 231–236. 81 indexed citations breakdown →
3.
Wang, Liangwei, Kai Wen, Fangde Liu, et al.. (2022). Experimental realization of two-dimensional single-layer ultracold gases of 87Rb in an accordion lattice. Chinese Physics B. 31(10). 103401–103401.
4.
Li, Yanran, Lingteng Qiu, Li Wang, et al.. (2020). Densely connected GCN model for motion prediction. Computer Animation and Virtual Worlds. 31(4-5). 4 indexed citations
5.
Mo, Yuanhan, Fangde Liu, Jingqing Zhang, et al.. (2017). Deep Poincare Map For Robust Medical Image Segmentation.. arXiv (Cornell University). 1 indexed citations
6.
Yang, Guang, Simiao Yu, Hao Dong, et al.. (2017). DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Transactions on Medical Imaging. 37(6). 1310–1321. 674 indexed citations breakdown →
7.
Liu, Fangde, Arnau Garriga-Casanovas, Riccardo Secoli, & Ferdinando Rodriguez y Baena. (2016). Fast and Adaptive Fractal Tree-Based Path Planning for Programmable Bevel Tip Steerable Needles. IEEE Robotics and Automation Letters. 1(2). 601–608. 29 indexed citations
8.
9.
Liu, Fangde, et al.. (2015). Smooth on-line path planning for needle steering with non-linear constraints. Spiral (Imperial College London). 2653–2658. 5 indexed citations
10.
Liu, Fangde, et al.. (2013). Deformation-as-control for a biologically inspired steerable needle. 848–853. 3 indexed citations
11.
Liu, Fangde, Richard Southern, Shihui Guo, Xiaosong Yang, & Jianjun Zhang. (2012). Motion Adaptation With Motor Invariant Theory. IEEE Transactions on Cybernetics. 43(3). 1131–1145. 6 indexed citations

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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