Cheng Wan

759 total citations
43 papers, 440 citations indexed

About

Cheng Wan is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Biomedical Engineering. According to data from OpenAlex, Cheng Wan has authored 43 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Ophthalmology and 8 papers in Biomedical Engineering. Recurrent topics in Cheng Wan's work include Retinal Imaging and Analysis (28 papers), Retinal Diseases and Treatments (17 papers) and Glaucoma and retinal disorders (13 papers). Cheng Wan is often cited by papers focused on Retinal Imaging and Analysis (28 papers), Retinal Diseases and Treatments (17 papers) and Glaucoma and retinal disorders (13 papers). Cheng Wan collaborates with scholars based in China, Singapore and Germany. Cheng Wan's co-authors include Weihua Yang, Jianxin Shen, Jiang Liu, Jing Sun, Jun Cheng, Qin Jiang, Annan Li, Bo Zheng, Guo-Fan Cao and Qiuli Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Frontiers in Neuroscience.

In The Last Decade

Cheng Wan

39 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Wan China 12 325 234 128 72 38 43 440
Faraz Oloumi Canada 13 357 1.1× 232 1.0× 143 1.1× 92 1.3× 8 0.2× 30 458
Juan Morales‐Sánchez Spain 10 188 0.6× 74 0.3× 177 1.4× 55 0.8× 99 2.6× 49 381
Sajib Saha Australia 12 434 1.3× 287 1.2× 161 1.3× 91 1.3× 1 0.0× 58 603
Fedra Hajizadeh Iran 16 575 1.8× 557 2.4× 193 1.5× 211 2.9× 2 0.1× 29 776
V. Thulasi Bai India 10 45 0.1× 32 0.1× 49 0.4× 54 0.8× 21 0.6× 54 299
Ashutosh Richhariya India 11 351 1.1× 348 1.5× 47 0.4× 67 0.9× 6 0.2× 37 484
N. Barreira Spain 13 359 1.1× 332 1.4× 135 1.1× 54 0.8× 18 0.5× 49 521
John Galeotti United States 10 93 0.3× 36 0.2× 64 0.5× 85 1.2× 8 0.2× 42 299
Judith Mengelkamp Germany 5 325 1.0× 263 1.1× 77 0.6× 22 0.3× 7 421
Jordina Torrents‐Barrena Spain 10 112 0.3× 19 0.1× 44 0.3× 24 0.3× 8 0.2× 28 324

Countries citing papers authored by Cheng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Wan. A scholar is included among the top collaborators of Cheng Wan 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 Cheng Wan. Cheng Wan 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.
Wan, Cheng, et al.. (2025). DBMAE-Net: A dual branch multi-scale feature adaptive extraction network for retinal arteriovenous vessel segmentation. Biomedical Signal Processing and Control. 104. 107619–107619. 2 indexed citations
2.
3.
Wan, Cheng, et al.. (2024). A new segmentation algorithm for peripapillary atrophy and optic disk from ultra-widefield Photographs. Computers in Biology and Medicine. 172. 108281–108281. 5 indexed citations
4.
Shen, Jianxin, et al.. (2024). Automatic height measurement of central serous chorioretinopathy lesion using a deep learning and adaptive gradient threshold based cascading strategy. Computers in Biology and Medicine. 177. 108610–108610. 2 indexed citations
5.
Wan, Cheng, et al.. (2024). DBPF-net: dual-branch structural feature extraction reinforcement network for ocular surface disease image classification. Frontiers in Medicine. 10. 1309097–1309097. 4 indexed citations
6.
Shen, Jianxin, et al.. (2024). A fundus vessel segmentation method based on double skip connections combined with deep supervision. Frontiers in Cell and Developmental Biology. 12. 1477819–1477819.
7.
Wan, Cheng, et al.. (2023). Automatic Diagnosis of Different Types of Retinal Vein Occlusion Based on Fundus Images. International Journal of Intelligent Systems. 2023(1). 9 indexed citations
8.
Shen, Jianxin, et al.. (2023). An Automatic Image Processing Method Based on Artificial Intelligence for Locating the Key Boundary Points in the Central Serous Chorioretinopathy Lesion Area. Computational Intelligence and Neuroscience. 2023(1). 1839387–1839387. 5 indexed citations
9.
Wan, Cheng, et al.. (2023). Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition. Frontiers in Computational Neuroscience. 17. 1169464–1169464. 7 indexed citations
10.
Shen, Jianxin, et al.. (2022). An intelligent location method of key boundary points for assisting the diameter measurement of central serous chorioretinopathy lesion area. Computers in Biology and Medicine. 147. 105730–105730. 8 indexed citations
11.
Wan, Cheng, et al.. (2022). Retinal Image Enhancement Using Cycle-Constraint Adversarial Network. Frontiers in Medicine. 8. 793726–793726. 21 indexed citations
12.
Shen, Jianxin, et al.. (2022). A Few-Shot Learning-Based Retinal Vessel Segmentation Method for Assisting in the Central Serous Chorioretinopathy Laser Surgery. Frontiers in Medicine. 9. 821565–821565. 10 indexed citations
13.
Zhu, Yuting, Wenchao Xu, Cheng Wan, Yiyuan Chen, & Chun Zhang. (2022). Prediction model for the risk of ESKD in patients with primary FSGS. International Urology and Nephrology. 54(12). 3211–3219. 1 indexed citations
14.
Wan, Cheng, et al.. (2022). A Novel System for Measuring Pterygium's Progress Using Deep Learning. Frontiers in Medicine. 9. 819971–819971. 12 indexed citations
15.
Wang, Hui, Cheng Wan, Man Jiang, & Chun Zhang. (2022). Non-glomerular Tip Lesion Focal Segmental Glomerulosclerosis as a Negative Predictor in Idiopathic Membranous Nephropathy. Current Medical Science. 42(5). 1007–1014. 3 indexed citations
16.
Wan, Cheng, et al.. (2021). EAD-Net: A Novel Lesion Segmentation Method in Diabetic Retinopathy Using Neural Networks. Disease Markers. 2021. 1–13. 45 indexed citations
17.
Wan, Cheng, et al.. (2021). A novel multi-modal fundus image fusion method for guiding the laser surgery of central serous chorioretinopathy. Mathematical Biosciences & Engineering. 18(4). 4797–4816. 9 indexed citations
18.
Wan, Cheng, Jiasheng Wu, Han Li, et al.. (2021). Optimized-Unet: Novel Algorithm for Parapapillary Atrophy Segmentation. Frontiers in Neuroscience. 15. 758887–758887. 10 indexed citations
19.
Xu, Fabao, Yifan Xiang, Cheng Wan, et al.. (2021). Predicting subretinal fluid absorption with machine learning in patients with central serous chorioretinopathy. Annals of Translational Medicine. 9(3). 242–242. 10 indexed citations
20.
Wan, Cheng, et al.. (2019). Diabetic retinopathy fundus image generation based on generative adversarial networks. Zhonghua shiyan yanke zazhi. 37(8). 613–618. 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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