Guochen Shen

641 total citations · 1 hit paper
7 papers, 506 citations indexed

About

Guochen Shen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, Guochen Shen has authored 7 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 1 paper in Control and Systems Engineering. Recurrent topics in Guochen Shen's work include Optical measurement and interference techniques (3 papers), Image Processing Techniques and Applications (3 papers) and Visual Attention and Saliency Detection (1 paper). Guochen Shen is often cited by papers focused on Optical measurement and interference techniques (3 papers), Image Processing Techniques and Applications (3 papers) and Visual Attention and Saliency Detection (1 paper). Guochen Shen collaborates with scholars based in China. Guochen Shen's co-authors include Chao Zuo, Qian Chen, Shijie Feng, Rubin Li, Fangxiaoyu Feng, Guohua Gu, Yuzhen Zhang, Lei Zhang, Hongjun Tan and Xinghua Li and has published in prestigious journals such as Sensors, Optical Engineering and Optics and Lasers in Engineering.

In The Last Decade

Guochen Shen

7 papers receiving 458 citations

Hit Papers

align trajectories

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.

High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection

2013 289 citations Chao Zuo, Qian Chen et al. Optics and Lasers in Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guochen Shen China	4	421	194	186	81	78	7	506
Jae‐Sang Hyun United States	8	496 1.2×	250 1.3×	198 1.1×	100 1.2×	71 0.9×	24	523
Yatong An United States	8	436 1.0×	202 1.0×	165 0.9×	97 1.2×	67 0.9×	12	465
Matteo Carocci Italy	6	512 1.2×	167 0.9×	231 1.2×	158 2.0×	69 0.9×	9	583
Wenbo Guo China	14	709 1.7×	262 1.4×	318 1.7×	159 2.0×	143 1.8×	23	796
Junpeng Xue China	13	373 0.9×	94 0.5×	215 1.2×	39 0.5×	97 1.2×	29	450
Rigoberto Juarez-Salazar Mexico	14	379 0.9×	134 0.7×	157 0.8×	56 0.7×	83 1.1×	54	418
Jesús Villa Mexico	12	320 0.8×	133 0.7×	107 0.6×	30 0.4×	65 0.8×	40	368
Thorsten Bothe Germany	8	365 0.9×	88 0.5×	209 1.1×	57 0.7×	66 0.8×	21	402
Yongjia Xu United Kingdom	12	308 0.7×	61 0.3×	173 0.9×	41 0.5×	60 0.8×	25	352

Countries citing papers authored by Guochen Shen

Since Specialization

Citations

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

Fields of papers citing papers by Guochen Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guochen Shen

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

All Works

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7 of 7 papers shown

1.

Shen, Guochen & Lei Zhang. (2023). A Complex Empirical Mode Decomposition for Multivariant Traffic Time Series. Electronics. 12(11). 2476–2476. 3 indexed citations

2.

Zhang, Yuxin, Lei Zhang, & Guochen Shen. (2022). Multi-Source and Multi-Dimensional Data Fusion of Magnetic Levitation Track Transportation Based on Digital Twin. Advances in computer science research. 1 indexed citations

3.

Tan, Hongjun, et al.. (2022). Infrared Sensation-Based Salient Targets Enhancement Methods in Low-Visibility Scenes. Sensors. 22(15). 5835–5835. 6 indexed citations

4.

Shen, Guochen, et al.. (2020). Metro Pedestrian Detection Based on Mask R-CNN and Spatial-temporal Feature. 173–178. 1 indexed citations

5.

Feng, Shijie, Yuzhen Zhang, Qian Chen, et al.. (2014). General solution for high dynamic range three-dimensional shape measurement using the fringe projection technique. Optics and Lasers in Engineering. 59. 56–71. 167 indexed citations

6.

Zuo, Chao, Qian Chen, Guohua Gu, et al.. (2013). High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection. Optics and Lasers in Engineering. 51(8). 953–960. 289 indexed citations breakdown →

7.

Feng, Shijie, Qian Chen, Chao Zuo, et al.. (2013). Automatic identification and removal of outliers for high-speed fringe projection profilometry. Optical Engineering. 52(1). 13605–13605. 39 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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