Pujin Cheng

708 total citations
23 papers, 229 citations indexed

About

Pujin Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Pujin Cheng has authored 23 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Ophthalmology. Recurrent topics in Pujin Cheng's work include Retinal Imaging and Analysis (13 papers), Retinal Diseases and Treatments (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Pujin Cheng is often cited by papers focused on Retinal Imaging and Analysis (13 papers), Retinal Diseases and Treatments (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Pujin Cheng collaborates with scholars based in China, Hong Kong and Australia. Pujin Cheng's co-authors include Li Lin, Xiaoying Tang, Yijin Huang, Junyan Lyu, Xiaoying Tang, Kai Wang, Meng Li, Roger Tam, Jin Yuan and Wenhan Luo and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Scientific Data.

In The Last Decade

Pujin Cheng

21 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pujin Cheng China 9 170 97 82 60 24 23 229
Yijin Huang China 8 169 1.0× 81 0.8× 96 1.2× 43 0.7× 17 0.7× 23 209
Xiaodong He China 4 127 0.7× 94 1.0× 58 0.7× 53 0.9× 18 0.8× 7 209
Junyan Lyu China 8 132 0.8× 73 0.8× 67 0.8× 51 0.8× 21 0.9× 23 205
Álvaro S. Hervella Spain 11 272 1.6× 125 1.3× 172 2.1× 51 0.8× 24 1.0× 21 318
Parham Khojasteh Australia 7 212 1.2× 104 1.1× 134 1.6× 35 0.6× 14 0.6× 8 292
Neha Gour India 9 253 1.5× 168 1.7× 160 2.0× 45 0.8× 34 1.4× 17 334
Khin Yadanar Win Thailand 11 223 1.3× 174 1.8× 107 1.3× 120 2.0× 23 1.0× 16 354
Jeong Gi Seo South Korea 5 281 1.7× 97 1.0× 205 2.5× 45 0.8× 28 1.2× 6 330

Countries citing papers authored by Pujin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Pujin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pujin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Pujin Cheng. A scholar is included among the top collaborators of Pujin Cheng 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 Pujin Cheng. Pujin Cheng 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.
Deng, Yuqing, Pujin Cheng, Hongliang Xue, et al.. (2025). Advanced and interpretable corneal staining assessment through fine grained knowledge distillation. npj Digital Medicine. 8(1). 303–303. 2 indexed citations
2.
Li, Sirui, Li Lin, Yijin Huang, Pujin Cheng, & Xiaoying Tang. (2024). Text-Guided Foundation Model Adaptation for Long-Tailed Medical Image Classification. 1–5. 1 indexed citations
3.
Lin, Li, et al.. (2024). Uni4Eye++: A General Masked Image Modeling Multi-Modal Pre-Training Framework for Ophthalmic Image Classification and Segmentation. IEEE Transactions on Medical Imaging. 43(12). 4419–4429. 8 indexed citations
4.
Lin, Li, et al.. (2024). ASLSEG: Adapting Sam in the Loop for Semi-Supervised Liver Tumor Segmentation. 1–5. 9 indexed citations
5.
Lyu, Junyan, et al.. (2024). LF-SynthSeg: Label-Free Brain Tissue-Assisted Tumor Synthesis and Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(2). 1101–1112. 3 indexed citations
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Lin, Li, Yixiang Liu, Jiewei Wu, et al.. (2024). FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(3). 1127–1139. 5 indexed citations
9.
Huang, Yijin, Li Lin, Pujin Cheng, et al.. (2023). Identifying the Key Components in ResNet-50 for Diabetic Retinopathy Grading from Fundus Images: A Systematic Investigation. Diagnostics. 13(10). 1664–1664. 19 indexed citations
10.
Cheng, Pujin, Li Lin, Junyan Lyu, et al.. (2023). PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 21304–21314. 28 indexed citations
11.
Lin, Li, Linkai Peng, Pujin Cheng, et al.. (2023). YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation. Medical Image Analysis. 90. 102937–102937. 12 indexed citations
12.
Lyu, Junyan, et al.. (2022). AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. IEEE Transactions on Medical Imaging. 41(12). 3699–3711. 41 indexed citations
13.
Huang, Yijin, Li Lin, Pujin Cheng, et al.. (2022). Identifying the Key Components in ResNet-50 for Diabetic Retinopathy Grading from Fundus Images: A Systematic Investigation. SSRN Electronic Journal. 7 indexed citations
14.
Peng, Linkai, et al.. (2022). Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 5 indexed citations
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16.
Cheng, Pujin, Li Lin, Yijin Huang, Junyan Lyu, & Xiaoying Tang. (2021). Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. 521–525. 9 indexed citations
17.
Lin, Li, Meng Li, Yijin Huang, et al.. (2020). The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading. Scientific Data. 7(1). 409–409. 30 indexed citations
18.
Cheng, Pujin, Junyan Lyu, Yijin Huang, & Xiaoying Tang. (2020). Probability distribution guided optic disc and cup segmentation from fundus images. PubMed. 2020. 1976–1979. 4 indexed citations
19.
Huang, Yijin, Li Lin, Meng Li, et al.. (2020). Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy. 1369–1372. 18 indexed citations
20.
Wang, Zhonghua, Yijin Huang, Junyan Lyu, Pujin Cheng, & Xiaoying Tang. (2020). Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images. 126–129. 2 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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