Menglin Wu

473 total citations
17 papers, 327 citations indexed

About

Menglin Wu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Menglin Wu has authored 17 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Menglin Wu's work include Retinal Imaging and Analysis (5 papers), Optical Coherence Tomography Applications (5 papers) and Medical Image Segmentation Techniques (5 papers). Menglin Wu is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Optical Coherence Tomography Applications (5 papers) and Medical Image Segmentation Techniques (5 papers). Menglin Wu collaborates with scholars based in China, United States and South Korea. Menglin Wu's co-authors include Renjun Shuai, Wenjia Liu, Li Ma, Qiang Chen, Hyunjin Park, Wen Fan, Songtao Yuan, Die Hu, Zexuan Ji and Sijie Niu and has published in prestigious journals such as Optics Express, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Menglin Wu

17 papers receiving 322 citations

Peers

Menglin Wu

RNMI

OPHTH

CVPR

Mojdeh Rastgoo France

Yangqin Feng Singapore

Suman Sedai Australia

Alican Bozkurt United States

Joan Massich France

Sara Hosseinzadeh Kassani Canada

Seung Yeon Shin United States

Swamidoss Issac Niwas India

Khin Yadanar Win Thailand

Mojdeh Rastgoo France

Menglin Wu

281 ×1.6

RNMI

204 ×1.8

OPHTH

129 ×1.2

139 ×1.7

CVPR

101 ×1.3

Citations per year, relative to Menglin Wu Menglin Wu (= 1×) peers Mojdeh Rastgoo

Countries citing papers authored by Menglin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Menglin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menglin Wu

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

All Works

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17 of 17 papers shown

Zhang, Mingjie, et al.. (2025). A novel cross‐modal data augmentation method based on contrastive unpaired translation network for kidney segmentation in ultrasound imaging. Medical Physics. 52(6). 3877–3887. 2 indexed citations

Zhang, Yuhan, Mingchao Li, Miao Wang, et al.. (2025). Generalist medical foundation model improves prostate cancer segmentation from multimodal MRI images. npj Digital Medicine. 8(1). 372–372. 1 indexed citations

Wu, Menglin, et al.. (2024). Cross-modal Transfer Learning Based on an Improved CycleGAN Model for Accurate Kidney Segmentation in Ultrasound Images. Ultrasound in Medicine & Biology. 50(11). 1638–1645. 1 indexed citations

Wu, Menglin, et al.. (2023). Weakly supervised volumetric prostate registration for MRI-TRUS image driven by signed distance map. Computers in Biology and Medicine. 163. 107150–107150. 3 indexed citations

Shuai, Renjun, et al.. (2022). Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT. Multimedia Tools and Applications. 81(17). 24265–24300. 44 indexed citations

Shuai, Renjun, et al.. (2022). Segmentation of skin lesions image based on U-Net + +. Multimedia Tools and Applications. 81(6). 8691–8717. 19 indexed citations

Shuai, Renjun, et al.. (2021). Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt + +. Medical & Biological Engineering & Computing. 59(9). 1815–1832. 13 indexed citations

Shuai, Renjun, et al.. (2021). Dermoscopy Image Classification Based on StyleGAN and DenseNet201. IEEE Access. 9. 8659–8679. 75 indexed citations

Wu, Menglin, et al.. (2021). Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach. IEEE Journal of Biomedical and Health Informatics. 25(9). 3460–3472. 9 indexed citations

10.

Niu, Sijie, Zexuan Ji, Menglin Wu, et al.. (2019). Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images. Computer Methods and Programs in Biomedicine. 176. 69–80. 41 indexed citations

11.

Wu, Menglin, Xinxin Cai, Qiang Chen, et al.. (2019). Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging. Computer Methods and Programs in Biomedicine. 182. 105101–105101. 22 indexed citations

12.

Wu, Menglin, et al.. (2019). A level set method for brain MR image segmentation under asymmetric distributions. Signal Image and Video Processing. 13(7). 1421–1429. 4 indexed citations

13.

Wu, Menglin, Qiang Chen, Ping Li, et al.. (2017). Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging. IEEE Transactions on Biomedical Engineering. 65(1). 87–95. 37 indexed citations

14.

Wu, Menglin, et al.. (2017). Three-dimensional continuous max flow optimization-based serous retinal detachment segmentation in SD-OCT for central serous chorioretinopathy. Biomedical Optics Express. 8(9). 4257–4257. 31 indexed citations

15.

Wu, Menglin, et al.. (2015). Medical Image Retrieval based on Combination of Visual Semantic and Local Features. 3 indexed citations

16.

Wu, Menglin, Theodore Leng, Luís de Sisternes, Daniel L. Rubin, & Qiang Chen. (2015). Automated segmentation of optic disc in SD-OCT images and cup-to-disc ratios quantification by patch searching-based neural canal opening detection. Optics Express. 23(24). 31216–31216. 18 indexed citations

17.

Wu, Menglin, Qiang Chen, & Quansen Sun. (2014). Medical Image Retrieval with Relevance Feedback via Pairwise Constraint Propagation. KSII Transactions on Internet and Information Systems. 8(1). 249–268. 4 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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