Guirong Weng

1.3k total citations
60 papers, 875 citations indexed

About

Guirong Weng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Molecular Biology. According to data from OpenAlex, Guirong Weng has authored 60 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 28 papers in Media Technology and 6 papers in Molecular Biology. Recurrent topics in Guirong Weng's work include Medical Image Segmentation Techniques (44 papers), Image and Object Detection Techniques (22 papers) and Image Retrieval and Classification Techniques (18 papers). Guirong Weng is often cited by papers focused on Medical Image Segmentation Techniques (44 papers), Image and Object Detection Techniques (22 papers) and Image Retrieval and Classification Techniques (18 papers). Guirong Weng collaborates with scholars based in China, Canada and Australia. Guirong Weng's co-authors include Keyan Ding, Linfang Xiao, Yiyang Chen, Bin Dong, Guina Wang, Lei Yu, Hongtian Chen, Fuzheng Zhang, Yiming Qian and Jingen Ni and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Guirong Weng

52 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guirong Weng China 17 690 278 83 73 60 60 875
Zhanghan Ke Hong Kong 6 542 0.8× 140 0.5× 89 1.1× 69 0.9× 206 3.4× 10 858
Tao Sheng China 3 524 0.8× 88 0.3× 65 0.8× 50 0.7× 131 2.2× 4 655
Oğuzhan Urhan Türkiye 16 502 0.7× 86 0.3× 57 0.7× 32 0.4× 57 0.9× 82 666
Jiachen Li China 11 500 0.7× 112 0.4× 38 0.5× 35 0.5× 179 3.0× 21 694
Yingtian Zou Singapore 3 616 0.9× 103 0.4× 72 0.9× 125 1.7× 390 6.5× 4 881
Pengfei Xiong China 11 756 1.1× 106 0.4× 52 0.6× 24 0.3× 175 2.9× 21 912
Francisco Massa 2 368 0.5× 91 0.3× 26 0.3× 67 0.9× 204 3.4× 2 658
Wei Ke China 12 454 0.7× 57 0.2× 40 0.5× 109 1.5× 156 2.6× 39 659
Duo Li China 7 299 0.4× 123 0.4× 23 0.3× 24 0.3× 106 1.8× 11 485

Countries citing papers authored by Guirong Weng

Since Specialization
Citations

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

Fields of papers citing papers by Guirong Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guirong Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Guirong Weng. A scholar is included among the top collaborators of Guirong Weng 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 Guirong Weng. Guirong Weng 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.
Wang, Guina, Zhen Li, Guirong Weng, & Yiyang Chen. (2025). An overview of industrial image segmentation using deep learning models. 5(1). 143–80. 6 indexed citations
3.
Chen, Yiyang, Fuzheng Zhang, Guina Wang, Guirong Weng, & Daniele Fontanelli. (2025). An Active Contour Model Based on Fuzzy Superpixel Centers and Nonlinear Diffusion Filter for Instance Segmentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 2 indexed citations
4.
Wan, Minjie, et al.. (2025). A hybrid active contour model using local region-based K-medoids for infrared image segmentation. Expert Systems with Applications. 290. 128325–128325.
5.
Zhang, Fuzheng, et al.. (2025). Anisotropic edge-enhanced active contour model with Gaussian difference for robust multi-category image segmentation. The Visual Computer. 41(12). 10153–10170.
6.
Yuan, Hao, et al.. (2024). A Laplace operator-based active contour model with improved image edge detection performance. Digital Signal Processing. 151. 104550–104550. 8 indexed citations
7.
Chen, Yiyang, et al.. (2024). An active contour model based on Jeffreys divergence and clustering technology for image segmentation. Journal of Visual Communication and Image Representation. 99. 104069–104069. 6 indexed citations
8.
Chen, Yiyang, et al.. (2023). An overview of intelligent image segmentation using active contour models. 3(1). 23–55. 26 indexed citations
9.
Dong, Bin, et al.. (2023). An active contour model based on shadow image and reflection edge for image segmentation. Expert Systems with Applications. 238. 122330–122330. 18 indexed citations
10.
Weng, Guirong, et al.. (2023). Active contour model based on local Kullback–Leibler divergence for fast image segmentation. Engineering Applications of Artificial Intelligence. 123. 106472–106472. 28 indexed citations
11.
Chen, Yiyang, et al.. (2022). A hybrid active contour model based on pre-fitting energy and adaptive functions for fast image segmentation. Pattern Recognition Letters. 158. 71–79. 42 indexed citations
12.
Weng, Guirong, et al.. (2021). An active contour model based on local pre-piecewise fitting image. Optik. 248. 168130–168130. 8 indexed citations
13.
Weng, Guirong, et al.. (2019). Active Contour Model Based on Adaptive Sign Function. 30(12). 3892–3906. 1 indexed citations
14.
Weng, Guirong, et al.. (2019). A robust active contour model driven by fuzzy c-means energy for fast image segmentation. Digital Signal Processing. 90. 100–109. 18 indexed citations
15.
Weng, Guirong. (2010). cDNA microarray image processing using mathematical morphological segmentation. Chinese Control Conference. 2660–2664. 1 indexed citations
16.
Ye, Ping & Guirong Weng. (2009). Microarray Image Segmentation Using Region Growing Algorithm and Mathematical Morphology. 270. 373–376. 2 indexed citations
17.
Hu, Yijun & Guirong Weng. (2009). Segmentation of cDNA Microarray Spots Using K-means Clustering Algorithm and Mathematical Morphology. 110–113. 4 indexed citations
18.
Weng, Guirong & Ping Ye. (2008). Image processing and classification of metal materials based on mathematical morphology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7130. 713045–713045. 2 indexed citations
19.
Weng, Guirong. (2004). The image edge-detection based on mathematics morphology. 2 indexed citations
20.
Weng, Guirong. (2002). Studies on the activation functions of BP algorithm. 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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