Furao Shen

1.9k total citations
57 papers, 1.1k citations indexed

About

Furao Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Furao Shen has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Furao Shen's work include Face and Expression Recognition (18 papers), Neural Networks and Applications (18 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Furao Shen is often cited by papers focused on Face and Expression Recognition (18 papers), Neural Networks and Applications (18 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Furao Shen collaborates with scholars based in China, Japan and United States. Furao Shen's co-authors include Osamu Hasegawa, Jian Zhao, Jinxi Zhao, Jun Zheng, Ye Xu, Serge Leyvraz, Ferdy J. Lejeune, Jérôme Biollaz, Laurent A. Décosterd and Yi Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Annals of Oncology and IEEE Transactions on Communications.

In The Last Decade

Furao Shen

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Furao Shen China	17	613	421	93	91	87	57	1.1k
Pengzhen Ren Australia	9	711 1.2×	536 1.3×	89 1.0×	67 0.7×	90 1.0×	12	1.3k
Ya Li China	13	571 0.9×	372 0.9×	148 1.6×	87 1.0×	32 0.4×	44	1.1k
Manosij Ghosh India	15	727 1.2×	368 0.9×	76 0.8×	48 0.5×	64 0.7×	21	1.2k
Qing Song Singapore	18	392 0.6×	354 0.8×	134 1.4×	143 1.6×	147 1.7×	74	1.0k
Nagwan Abdel Samee Saudi Arabia	20	617 1.0×	348 0.8×	108 1.2×	46 0.5×	67 0.8×	101	1.3k
Lei Cai China	19	427 0.7×	471 1.1×	57 0.6×	42 0.5×	62 0.7×	99	1.2k
Siew Chin Neoh Malaysia	15	553 0.9×	478 1.1×	82 0.9×	75 0.8×	55 0.6×	33	1.2k
Brody Huval United States	3	986 1.6×	516 1.2×	111 1.2×	40 0.4×	37 0.4×	3	1.5k
Diyar Qader Zeebaree Iraq	14	646 1.1×	360 0.9×	75 0.8×	83 0.9×	54 0.6×	25	1.3k
Sheng-Uei Guan China	20	640 1.0×	326 0.8×	139 1.5×	58 0.6×	78 0.9×	117	1.2k

Countries citing papers authored by Furao Shen

Since Specialization

Citations

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

Fields of papers citing papers by Furao Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Furao Shen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shen, Furao, et al.. (2024). EAP: An effective black-box impersonation adversarial patch attack method on face recognition in the physical world. Neurocomputing. 580. 127517–127517. 8 indexed citations

Wei, Zhe, et al.. (2024). Joint Deployment and Resource Allocation for Service Provision in Multi-UAV-Assisted Wireless Networks. IEEE Internet of Things Journal. 11(22). 37269–37286. 2 indexed citations

Shen, Furao, et al.. (2024). RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on face recognition. Pattern Recognition. 157. 110915–110915. 3 indexed citations

Shen, Furao, et al.. (2024). RandoMix: a mixed sample data augmentation method with multiple mixed modes. Multimedia Tools and Applications. 84(8). 4343–4359. 5 indexed citations

Zhao, Jian, et al.. (2024). Downlink Resource Optimization in Multi-STAR-RIS-Assisted MIMO Networks. IEEE Transactions on Communications. 72(12). 7954–7968.

Wu, Jianmin, et al.. (2023). Real-time object tracking in the wild with Siamese network. Multimedia Tools and Applications. 82(16). 24327–24343.

Shen, Furao, et al.. (2023). Self-supervised learning of monocular 3D geometry understanding with two- and three-view geometric constraints. The Visual Computer. 40(2). 1193–1204. 2 indexed citations

Guo, Suhan, et al.. (2023). Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study. Pattern Recognition. 148. 110204–110204. 13 indexed citations

Guo, Suhan, et al.. (2023). Sensitivity pruner: Filter-Level compression algorithm for deep neural networks. Pattern Recognition. 140. 109508–109508. 12 indexed citations

10.

Shi, Yukun, Yukun Shi, Chen Qin, et al.. (2023). An image dataset of fusulinid foraminifera generated with the aid of deep learning. Geoscience Data Journal. 11(1). 46–56. 3 indexed citations

11.

Shen, Furao, et al.. (2022). Deep ToA Mask Based Recursive Radar Pulse Deinterleaving. IEEE Transactions on Aerospace and Electronic Systems. 1–19. 22 indexed citations

12.

Chen, Peixin, et al.. (2022). Energy-Efficient Resource Allocation for Secure D2D Communications Underlaying UAV-Enabled Networks. IEEE Transactions on Vehicular Technology. 71(7). 7519–7531. 38 indexed citations

13.

Shen, Furao, et al.. (2022). Hybrid optimization with unconstrained variables on partial point cloud registration. Pattern Recognition. 136. 109267–109267. 6 indexed citations

14.

Zhao, Jian, et al.. (2022). Switch and Refine: A Long-Term Tracking and Segmentation Framework. IEEE Transactions on Circuits and Systems for Video Technology. 33(3). 1291–1304. 19 indexed citations

15.

Zhao, Jian, et al.. (2020). Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss. IEEE Transactions on Image Processing. 29. 5652–5661. 26 indexed citations

16.

Sun, Hui, et al.. (2020). Artificial Evolution Network: A Computational Perspective on the Expansibility of the Nervous System. IEEE Transactions on Neural Networks and Learning Systems. 32(5). 2180–2194. 4 indexed citations

17.

Zhao, Jian, Furao Shen, & Jingon Joung. (2019). Throughput Maximization With Rate-Dependent Power Consumption in Battery-Limited Multiuser Networks. IEEE Transactions on Vehicular Technology. 69(1). 1141–1146. 2 indexed citations

18.

Yang, Yi, et al.. (2019). Operation-aware Neural Networks for user response prediction. Neural Networks. 121. 161–168. 50 indexed citations

19.

Shen, Furao, et al.. (2018). Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding. IEEE Transactions on Neural Networks and Learning Systems. 30(4). 1104–1118. 4 indexed citations

20.

Xu, Ye, Furao Shen, & Jinxi Zhao. (2011). An incremental learning vector quantization algorithm for pattern classification. Neural Computing and Applications. 21(6). 1205–1215. 29 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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