Fa Wu

1.4k total citations
19 papers, 1.1k citations indexed

About

Fa Wu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Fa Wu has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Biomedical Engineering. Recurrent topics in Fa Wu's work include Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging and Analysis (4 papers). Fa Wu is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging and Analysis (4 papers). Fa Wu collaborates with scholars based in China, Hong Kong and Canada. Fa Wu's co-authors include De-Xing Kong, Peijun Hu, Jinlian Ma, Jiang Zhu, Jialin Peng, Tianan Jiang, Dexing Kong, Lu Fang, Zhiyi Peng and Dong Xu and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Computers in Biology and Medicine.

In The Last Decade

Fa Wu

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fa Wu China 9 692 471 333 209 181 19 1.1k
Gabriel Chartrand Canada 14 823 1.2× 379 0.8× 268 0.8× 332 1.6× 98 0.5× 19 1.6k
Jianning Chi China 13 373 0.5× 293 0.6× 277 0.8× 85 0.4× 131 0.7× 65 760
Michał Byra Poland 15 817 1.2× 723 1.5× 220 0.7× 191 0.9× 26 0.1× 42 1.3k
Ali Abbasian Ardakani Iran 17 996 1.4× 536 1.1× 126 0.4× 210 1.0× 109 0.6× 53 1.4k
Eugene Vorontsov Canada 10 742 1.1× 353 0.7× 195 0.6× 300 1.4× 13 0.1× 14 1.2k
Kristen M. Meiburger Italy 24 582 0.8× 332 0.7× 274 0.8× 339 1.6× 34 0.2× 90 1.5k
Dexing Kong China 14 381 0.6× 211 0.4× 133 0.4× 82 0.4× 104 0.6× 54 664
Timothy J. W. Dawes United Kingdom 17 615 0.9× 165 0.4× 534 1.6× 227 1.1× 20 0.1× 39 1.5k
Kersten Petersen Denmark 8 449 0.6× 404 0.9× 257 0.8× 185 0.9× 15 0.1× 13 951
Debdoot Sheet India 16 751 1.1× 329 0.7× 650 2.0× 371 1.8× 32 0.2× 80 1.4k

Countries citing papers authored by Fa Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fa Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fa Wu

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

All Works

19 of 19 papers shown
1.
Tang, Qin, Hui Jiang, Fa Wu, & Jun Shen. (2024). Synthesis of nano-diamond modified Ti3C2Tx MXene heterostructure for enhanced electromagnetic wave absorption. Diamond and Related Materials. 149. 111663–111663. 2 indexed citations
2.
Wu, Fa, Wei Cui, Jianguo Zhao, et al.. (2024). Fabrication of High Aspect Ratio TSV Interposer with Cu-Cu Direct Bonding. 1–4. 1 indexed citations
3.
Ma, Jinlian, Dexing Kong, Fa Wu, et al.. (2023). Densely connected convolutional networks for ultrasound image based lesion segmentation. Computers in Biology and Medicine. 168. 107725–107725. 5 indexed citations
4.
Wu, Fa, et al.. (2022). Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey. Entropy. 24(4). 465–465. 5 indexed citations
5.
Wu, Fa, et al.. (2022). Dynamically Interrupting Deadlocks in Game Learning Using Multisampling Multiarmed Bandits. IEEE Transactions on Games. 15(3). 360–367. 1 indexed citations
6.
Wu, Fa, et al.. (2021). Automatic liver segmentation using 3D convolutional neural networks with a hybrid loss function. Medical Physics. 48(4). 1707–1719. 21 indexed citations
7.
Zhang, Jianfeng, et al.. (2020). Pixel-RRT*: A Novel Skeleton Trajectory Search Algorithm for Hepatic Vessels. 4. 1–8. 1 indexed citations
8.
Wu, Fa, et al.. (2020). Pulmonary nodule detection using hybrid two‐stage 3D CNNs. Medical Physics. 47(8). 3376–3388. 15 indexed citations
9.
Fang, Lu, et al.. (2018). An analytical solution for temperature distributions in hepatic radiofrequency ablation incorporating the heat-sink effect of large vessels. Physics in Medicine and Biology. 63(23). 235026–235026. 23 indexed citations
10.
Huang, Jessie, Fa Wu, Doina Precup, & Yang Cai. (2018). Learning Safe Policies with Expert Guidance. arXiv (Cornell University). 31. 9105–9114. 1 indexed citations
11.
Ma, Jinlian, Fa Wu, Tianan Jiang, Jiang Zhu, & De-Xing Kong. (2017). Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images. Medical Physics. 44(5). 1678–1691. 103 indexed citations
12.
Ma, Jinlian, Fa Wu, Tianan Jiang, Qiyu Zhao, & De-Xing Kong. (2017). Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks. International Journal of Computer Assisted Radiology and Surgery. 12(11). 1895–1910. 137 indexed citations
13.
Wu, Fa, et al.. (2017). Inferior vena cava segmentation with parameter propagation and graph cut. International Journal of Computer Assisted Radiology and Surgery. 12(9). 1481–1499.
14.
Hu, Peijun, Fa Wu, Jialin Peng, et al.. (2016). Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets. International Journal of Computer Assisted Radiology and Surgery. 12(3). 399–411. 153 indexed citations
15.
Ma, Jinlian, Fa Wu, Jiang Zhu, Dong Xu, & Dexing Kong. (2016). A pre-trained convolutional neural network based method for thyroid nodule diagnosis. Ultrasonics. 73. 221–230. 206 indexed citations
16.
Hu, Peijun, Fa Wu, Jialin Peng, Ping Liang, & De-Xing Kong. (2016). Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution. Physics in Medicine and Biology. 61(24). 8676–8698. 162 indexed citations
17.
Fang, Lu, Fa Wu, Peijun Hu, Zhiyi Peng, & De-Xing Kong. (2016). Automatic 3D liver location and segmentation via convolutional neural network and graph cut. International Journal of Computer Assisted Radiology and Surgery. 12(2). 171–182. 216 indexed citations
18.
Wu, Fa, Hui–Hui Dai, & De-Xing Kong. (2016). Mechanism for the transition from a regular reflection to a mach reflection or a von neumann reflection. Acta Mathematica Scientia. 36(3). 931–944. 1 indexed citations
19.
Kong, De-Xing & Fa Wu. (2013). A New Type of Distributed Parameter Control Systems: Two-Point Boundary Value Problems for Infinite-Dimensional Dynamical Systems. Journal of Applied Mathematics. 2013. 1–3. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Gabriel Chartrand Breakdown of academic impact, for papers by Jianning Chi Breakdown of academic impact, for papers by Michał Byra Breakdown of academic impact, for papers by Ali Abbasian Ardakani Breakdown of academic impact, for papers by Eugene Vorontsov Breakdown of academic impact, for papers by Kristen M. Meiburger Breakdown of academic impact, for papers by Dexing Kong Breakdown of academic impact, for papers by Timothy J. W. Dawes Breakdown of academic impact, for papers by Kersten Petersen Breakdown of academic impact, for papers by Debdoot Sheet
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