Fangshi Wang

498 total citations
15 papers, 332 citations indexed

About

Fangshi Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Fangshi Wang has authored 15 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Fangshi Wang's work include Advanced Image and Video Retrieval Techniques (5 papers), Human Pose and Action Recognition (4 papers) and Robotics and Sensor-Based Localization (4 papers). Fangshi Wang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Human Pose and Action Recognition (4 papers) and Robotics and Sensor-Based Localization (4 papers). Fangshi Wang collaborates with scholars based in China, United States and United Kingdom. Fangshi Wang's co-authors include Fei Qiao, Xuesong Shi, Wei Yang, Dongjiang Li, Weiming Hu, Chunfeng Yuan, Shenghui Liu, Qi Wei, Bing Li and Yuxin Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Fangshi Wang

14 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fangshi Wang China	8	260	184	72	43	42	15	332
Ricardo Vázquez-Martín Spain	11	253 1.0×	197 1.1×	41 0.6×	30 0.7×	56 1.3×	36	367
Davide Migliore Italy	7	180 0.7×	158 0.9×	38 0.5×	29 0.7×	60 1.4×	14	268
Pantelis Elinas Canada	9	232 0.9×	235 1.3×	55 0.8×	29 0.7×	91 2.2×	17	364
Sisi You China	7	316 1.2×	170 0.9×	34 0.5×	35 0.8×	30 0.7×	15	378
Sourav Garg Australia	12	359 1.4×	278 1.5×	49 0.7×	34 0.8×	81 1.9×	25	461
Céline Teulière France	10	250 1.0×	209 1.1×	42 0.6×	19 0.4×	48 1.1×	20	345
Denis Chekhlov United Kingdom	8	331 1.3×	280 1.5×	26 0.4×	93 2.2×	67 1.6×	8	434
Kyel Ok United States	8	197 0.8×	219 1.2×	37 0.5×	35 0.8×	33 0.8×	14	290
Rolf Lakaemper United States	11	230 0.9×	171 0.9×	26 0.4×	72 1.7×	20 0.5×	37	331
Federico Pernici Italy	11	331 1.3×	118 0.6×	57 0.8×	42 1.0×	53 1.3×	34	407

Countries citing papers authored by Fangshi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Fangshi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangshi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fangshi Wang. A scholar is included among the top collaborators of Fangshi Wang 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 Fangshi Wang. Fangshi Wang 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:

15 of 15 papers shown

Wang, Fangshi, et al.. (2023). HQRetouch: Learning Professional Face Retouching Via Masked Feature Fusion and Semantic-Aware Modulation. 440–444.

Zhang, Qian, Rui Wei, Fangshi Wang, et al.. (2022). On the Way from Lightweight to Powerful Intelligence: A Heterogeneous Multi-Robot Social System with IoT Devices. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 842–848. 2 indexed citations

Zhang, Qian, Jiaheng Wang, Fangshi Wang, et al.. (2022). OCTOANTS: A Heterogeneous Lightweight Intelligent Multi-Robot Collaboration System with Resource-constrained IoT Devices. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2556–2563. 1 indexed citations

Chen, Yuxin, Chunfeng Yuan, Bing Li, et al.. (2020). Graph convolutional network with structure pooling and joint-wise channel attention for action recognition. Pattern Recognition. 103. 107321–107321. 52 indexed citations

Li, Dongjiang, Xuesong Shi, Shenghui Liu, et al.. (2020). DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features. 4958–4965. 101 indexed citations

Shi, Xuesong, Dongjiang Li, Pengpeng Zhao, et al.. (2020). Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. 3139–3145. 103 indexed citations

Li, Bing, Chunfeng Yuan, Yangxi Li, et al.. (2020). Anisotropic Convolution for Image Classification. IEEE Transactions on Image Processing. 29. 5584–5595. 12 indexed citations

Hu, Weiming, Bing Li, Jianchao Wang, et al.. (2015). Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance Sparse Coding and Its Application to Sensitive Video Recognition. IEEE Transactions on Multimedia. 18(1). 76–89. 15 indexed citations

Yuan, Chunfeng, et al.. (2015). Fusing $${\mathcal {R}}$$ R Features and Local Features with Context-Aware Kernels for Action Recognition. International Journal of Computer Vision. 118(2). 151–171. 9 indexed citations

10.

Yang, Shuang, et al.. (2015). Multi-feature max-margin hierarchical Bayesian model for action recognition. 1610–1618. 23 indexed citations

11.

Wang, Fangshi, De Xu, & Jingen Liu. (2009). Constructing semantic network based on Bayesian Network. Journal of International Crisis and Risk Communication Research. 51–54. 1 indexed citations

12.

Wang, Fangshi, et al.. (2008). Automatic video annotation with adaptive number of key words. Proceedings - International Conference on Pattern Recognition. 1–4. 4 indexed citations

13.

Wang, Fangshi, et al.. (2006). Construction of Semantic Network for Videos. 2. 217–220. 1 indexed citations

14.

Wang, Fangshi. (2005). A Video Segmentation Algorithm Based on Object Tracing. 1 indexed citations

15.

Wang, Fangshi. (2005). A Cluster Algorithm of Automatic Key Frame Extraction Based on Adaptive Threshold. Journal of Computer Research and Development. 42(10). 1752–1752. 7 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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