Wei Yin

3.4k total citations · 3 hit papers
51 papers, 2.4k citations indexed

About

Wei Yin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Mechanical Engineering. According to data from OpenAlex, Wei Yin has authored 51 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 23 papers in Media Technology and 12 papers in Mechanical Engineering. Recurrent topics in Wei Yin's work include Optical measurement and interference techniques (40 papers), Image Processing Techniques and Applications (22 papers) and Advanced Vision and Imaging (17 papers). Wei Yin is often cited by papers focused on Optical measurement and interference techniques (40 papers), Image Processing Techniques and Applications (22 papers) and Advanced Vision and Imaging (17 papers). Wei Yin collaborates with scholars based in China, United States and Singapore. Wei Yin's co-authors include Qian Chen, Chao Zuo, Shijie Feng, Tianyang Tao, Lei Huang, Jiaming Qian, Yixuan Li, Qian Kemao, Yan Hu and Jing Han and has published in prestigious journals such as Scientific Reports, Optics Express and Light Science & Applications.

In The Last Decade

Wei Yin

45 papers receiving 2.2k citations

Hit Papers

Phase shifting algorithms for fringe projection profilome... 2018 2026 2020 2023 2018 2022 2021 250 500 750
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. Phase shifting algorithms for fringe projection profilometry: A review
    2018 891 citations Chao Zuo, Shijie Feng et al. Optics and Lasers in Engineering profile →
  2. Deep learning in optical metrology: a review
    2022 446 citations Chao Zuo, Jiaming Qian et al. Light Science & Applications profile →
  3. Calibration of fringe projection profilometry: A comparative review
    2021 227 citations Shijie Feng, Chao Zuo et al. Optics and Lasers in Engineering profile →

Peers

Wei Yin
Qican Zhang China
Tianyang Tao China
Wenjing Chen China
Yiping Cao China
Peisen S. Huang United States
Jiaming Qian China
Laurence G. Hassebrook United States
Guangjun Zhang China
Hongwei Guo China
Jing Han China
Qican Zhang China
Wei Yin
Citations per year, relative to Wei Yin Wei Yin (= 1×) peers Qican Zhang

Countries citing papers authored by Wei Yin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yin

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

All Works

20 of 20 papers shown
1.
Yin, Wei, et al.. (2024). Fast and long-range 3D shape measurement using reference-phase-based number-theoretical temporal phase unwrapping with a MEMS projector. Optics and Lasers in Engineering. 186. 108781–108781. 3 indexed citations
2.
Cheng, Junda, et al.. (2024). Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving. 10138–10147. 7 indexed citations
3.
4.
Yin, Wei, Xinsheng Li, Yan Hu, et al.. (2023). Physics-informed deep learning for fringe pattern analysis. Opto-Electronic Advances. 7(1). 230034–230034. 45 indexed citations
5.
Yin, Wei, et al.. (2023). A lightweight fringe analysis network based on deep learning. 12–12. 1 indexed citations
6.
Liu, Lei, et al.. (2023). Research on 3D reconstruction technology based on laser measurement. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(6). 8 indexed citations
7.
Yin, Wei, et al.. (2023). 基于VCSEL投影阵列的散斑结构光三维成像技术及其传感器设计. Laser & Optoelectronics Progress. 60(8). 811014–811014. 3 indexed citations
8.
Yin, Wei, Lu Cao, Hang Zhao, et al.. (2023). Real-time and accurate monocular 3D sensor using the reference plane calibration and an optimized SGM based on opencl acceleration. Optics and Lasers in Engineering. 165. 107536–107536. 7 indexed citations
9.
Zuo, Chao, Jiaming Qian, Shijie Feng, et al.. (2022). Deep learning in optical metrology: a review. Light Science & Applications. 11(1). 39–39. 446 indexed citations breakdown →
10.
Zuo, Chao, Jiaming Qian, Wei Yin, et al.. (2022). Correction: Deep learning in optical metrology: a review. Light Science & Applications. 11(1). 74–74. 5 indexed citations
11.
Yin, Wei, Yan Hu, Shijie Feng, et al.. (2021). Single-shot 3D shape measurement using an end-to-end stereo matching network for speckle projection profilometry. Optics Express. 29(9). 13388–13388. 49 indexed citations
12.
Feng, Shijie, Chao Zuo, Liang Zhang, Wei Yin, & Qian Chen. (2021). Generalized framework for non-sinusoidal fringe analysis using deep learning. Photonics Research. 9(6). 1084–1084. 94 indexed citations
13.
Yin, Wei, Chao Zuo, Shijie Feng, Tianyang Tao, & Qian Chen. (2021). An openCL-based speckle matching on the monocular 3D sensor using speckle projection. 1 indexed citations
14.
Yin, Wei, et al.. (2021). Fruit Detection and Pose Estimation for Grape Cluster–Harvesting Robot Using Binocular Imagery Based on Deep Neural Networks. Frontiers in Robotics and AI. 8. 626989–626989. 43 indexed citations
15.
Yin, Wei, Shijie Feng, Tianyang Tao, et al.. (2020). Composite deep learning framework for absolute 3D shape measurement based on single fringe phase retrieval and speckle correlation. Journal of Physics Photonics. 2(4). 45009–45009. 15 indexed citations
16.
Yin, Wei, Shijie Feng, Tianyang Tao, et al.. (2019). High-speed 3D shape measurement using the optimized composite fringe patterns and stereo-assisted structured light system. Optics Express. 27(3). 2411–2411. 97 indexed citations
17.
Yin, Wei, Shijie Feng, Tianyang Tao, et al.. (2019). Calibration method for panoramic 3D shape measurement with plane mirrors. Optics Express. 27(25). 36538–36538. 29 indexed citations
18.
Zhuang, Bohan, et al.. (2019). Training Compact Neural Networks via Auxiliary Overparameterization.. arXiv (Cornell University). 3 indexed citations
19.
Yin, Wei, Qian Chen, Shijie Feng, et al.. (2019). Temporal phase unwrapping using deep learning. Scientific Reports. 9(1). 20175–20175. 111 indexed citations
20.
Yin, Wei. (2012). Moving Target Detection Based on Improved Gaussian Mixture Model. Computer Technology and Development. 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.

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