Wenao Ma

506 total citations
9 papers, 147 citations indexed

About

Wenao Ma is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Wenao Ma has authored 9 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Artificial Intelligence. Recurrent topics in Wenao Ma's work include Advanced Neural Network Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Retinal Imaging and Analysis (2 papers). Wenao Ma is often cited by papers focused on Advanced Neural Network Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Retinal Imaging and Analysis (2 papers). Wenao Ma collaborates with scholars based in China, Hong Kong and United States. Wenao Ma's co-authors include Xinghao Ding, Yue Huang, Liyan Sun, Dong Liang, John Paisley, Qi Dou, Chenxin Li, Jingyang Zhang, Pheng‐Ann Heng and Guisheng Wang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, The Analyst and Medical Image Analysis.

In The Last Decade

Wenao Ma

8 papers receiving 141 citations

Peers

Wenao Ma

CVPR

RNMI

AI

NEURO

BE

Petru-Daniel Tudosiu United Kingdom

Dinggang Shen United States

Tehreem Masood Pakistan

Mohammad Hamghalam Iran

Varghese Alex India

Zhengqing Xu China

Barbara Villarini United Kingdom

László Lefkovits Romania

Yiyun Wu China

Petru-Daniel Tudosiu United Kingdom

Wenao Ma

72 ×0.8

CVPR

73 ×1.4

RNMI

93 ×2.4

AI

40 ×1.1

NEURO

12 ×0.7

BE

Citations per year, relative to Wenao Ma Wenao Ma (= 1×) peers Petru-Daniel Tudosiu

Countries citing papers authored by Wenao Ma

Since Specialization

Citations

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

Fields of papers citing papers by Wenao Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenao Ma

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

All Works

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9 of 9 papers shown

1.

Zheng, Shuang, Wenao Ma, Lin Mu, et al.. (2025). CT-based artificial intelligence system complementing deep learning model and radiologist for liver fibrosis staging. iScience. 28(4). 112224–112224.

2.

Gong, Yuqi, et al.. (2024). Segmentation of Tiny Intracranial Hemorrhage Via Learning-to-Rank Local Feature Enhancement. 1–5. 2 indexed citations

3.

Ma, Wenao, et al.. (2024). 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation. Medical Image Analysis. 98. 103324–103324. 37 indexed citations

4.

Lau, Carol, Wenao Ma, Maribel D. Lacambra, et al.. (2022). Development of deep learning algorithms to discriminate giant cell tumors of bone from adjacent normal tissues by confocal Raman spectroscopy. The Analyst. 147(7). 1425–1439. 12 indexed citations

5.

Ma, Wenao, et al.. (2022). Rapid Model Transfer for Medical Image Segmentation Via Iterative Human-in-the-Loop Update: from Labelled Public to Unlabelled Clinical Datasets for Multi-Organ Segmentation in CT. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 4 indexed citations

6.

Li, Chenxin, Wenao Ma, Liyan Sun, et al.. (2021). Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. Neural Computing and Applications. 34(4). 3151–3164. 30 indexed citations

7.

Li, Chenxin, et al.. (2021). Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery/Vein Classification. 61–65. 6 indexed citations

8.

Sun, Liyan, Wenao Ma, Xinghao Ding, et al.. (2019). A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI. IEEE Transactions on Medical Imaging. 39(4). 898–909. 54 indexed citations

9.

Ma, Wenao, et al.. (2018). Bindctnet: A Simple Binary Dct Network for Image Classification. 1278–1282. 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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