Mengyang Pu

527 total citations
13 papers, 287 citations indexed

About

Mengyang Pu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Mengyang Pu has authored 13 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Surgery. Recurrent topics in Mengyang Pu's work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Medical Image Segmentation Techniques (2 papers). Mengyang Pu is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Medical Image Segmentation Techniques (2 papers). Mengyang Pu collaborates with scholars based in China and United States. Mengyang Pu's co-authors include Yaping Huang, Qingji Guan, Haibin Ling, Yuming Liu, Qi Zou, Runsheng Zhang, Li Huang, Jian Zhang, Songou Zhang and Ruoxi Deng and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Cellular and Molecular Life Sciences.

In The Last Decade

Mengyang Pu

11 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengyang Pu China 7 198 71 51 45 24 13 287
Yanting Pei China 6 220 1.1× 59 0.8× 59 1.2× 19 0.4× 13 0.5× 9 308
Guozhong Luo China 3 166 0.8× 57 0.8× 40 0.8× 17 0.4× 19 0.8× 5 251
Banghuai Li China 4 247 1.2× 166 2.3× 57 1.1× 38 0.8× 49 2.0× 5 363
Shengcao Cao United States 3 244 1.2× 108 1.5× 54 1.1× 19 0.4× 40 1.7× 5 319
Jia Xue United States 6 220 1.1× 56 0.8× 31 0.6× 28 0.6× 29 1.2× 12 326
Sergi Caelles Switzerland 2 208 1.1× 53 0.7× 24 0.5× 16 0.4× 33 1.4× 2 295
Jing Nie China 11 331 1.7× 69 1.0× 110 2.2× 28 0.6× 79 3.3× 35 413
Yukai Shi China 12 314 1.6× 62 0.9× 104 2.0× 10 0.2× 24 1.0× 45 442
Yueh-Cheng Liu Taiwan 6 151 0.8× 61 0.9× 23 0.5× 14 0.3× 52 2.2× 7 223
Ruoxi Deng China 6 138 0.7× 73 1.0× 35 0.7× 16 0.4× 7 0.3× 12 237

Countries citing papers authored by Mengyang Pu

Since Specialization
Citations

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

Fields of papers citing papers by Mengyang Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengyang Pu

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

All Works

13 of 13 papers shown
1.
Lü, Ying, et al.. (2025). A new method for Tomicus classification of forest pests based on improved ResNet50 algorithm. Scientific Reports. 15(1). 9665–9665. 1 indexed citations
2.
3.
Wang, Fei, Yifeng Wang, Songou Zhang, Mengyang Pu, & Ping Zhou. (2024). YTHDF2-dependent m6A modification of FOXO3 mRNA mediates TIMP1 expression and contributes to intervertebral disc degeneration following ROS stimulation. Cellular and Molecular Life Sciences. 81(1). 477–477. 4 indexed citations
4.
Huang, Yaping, et al.. (2024). MuGE: Multiple Granularity Edge Detection. 25952–25962. 6 indexed citations
5.
Wu, Hua, Hao Hong, Li Sun, Xiaojing Bai, & Mengyang Pu. (2024). Harnessing Response Consistency for Superior LLM Performance: The Promise and Peril of Answer-Augmented Prompting. Electronics. 13(23). 4581–4581.
6.
Bai, Xiaojing, et al.. (2023). SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic Segmentation Based on Drone LiDAR Data. Remote Sensing. 16(1). 92–92. 1 indexed citations
7.
Huang, Yaping, et al.. (2023). The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector. 15507–15517. 30 indexed citations
8.
Pu, Mengyang, Yaping Huang, Yuming Liu, Qingji Guan, & Haibin Ling. (2022). EDTER: Edge Detection with Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1392–1402. 131 indexed citations
9.
Huang, Yaping, et al.. (2021). Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation. IEEE Transactions on Image Processing. 31. 623–635. 20 indexed citations
10.
Pu, Mengyang, Yaping Huang, Qingji Guan, & Haibin Ling. (2021). RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6859–6868. 35 indexed citations
11.
Zhang, Runsheng, Yaping Huang, Mengyang Pu, et al.. (2020). Object Discovery From a Single Unlabeled Image by Mining Frequent Itemsets With Multi-Scale Features. IEEE Transactions on Image Processing. 29. 8606–8621. 20 indexed citations
12.
Zhang, Shengsheng, et al.. (2020). Detecting dense text in natural images. IET Computer Vision. 14(8). 597–604. 2 indexed citations
13.
Pu, Mengyang, Yaping Huang, Qingji Guan, & Qi Zou. (2018). GraphNet. 483–491. 37 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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