Yuanhan Mo

1.2k total citations
7 papers, 91 citations indexed

About

Yuanhan Mo is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yuanhan Mo has authored 7 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Artificial Intelligence. Recurrent topics in Yuanhan Mo's work include Medical Image Segmentation Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Imaging and Analysis (2 papers). Yuanhan Mo is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Imaging and Analysis (2 papers). Yuanhan Mo collaborates with scholars based in United Kingdom, United States and Hong Kong. Yuanhan Mo's co-authors include Sophia Ananiadou, Georgios Kontonatsios, Yike Guo, Bartłomiej W. Papież, Hao Dong, Gregory Ligozio, Shuo Wang, Simiao Yu, Yao Chen and Thibaud Coroller and has published in prestigious journals such as Scientific Reports, Medical Image Analysis and Systematic Reviews.

In The Last Decade

Yuanhan Mo

7 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanhan Mo United Kingdom 4 28 17 16 13 10 7 91
Soham Sarkar India 8 51 1.8× 27 1.6× 4 0.3× 8 0.6× 18 145
Katherine A. Keith United States 5 101 3.6× 20 1.2× 9 0.6× 7 0.7× 9 250
Minta Thomas United States 4 15 0.5× 10 0.6× 6 0.4× 8 52
Tom Rainforth United Kingdom 4 31 1.1× 12 0.7× 3 0.2× 14 1.1× 14 76
Alberto Corvò Netherlands 5 16 0.6× 15 0.9× 8 0.5× 10 61
Mehul Gupta Canada 5 93 3.3× 12 0.7× 7 0.4× 30 2.3× 1 0.1× 7 202
Rakesh Ramakrishnan United States 6 18 0.6× 20 1.2× 18 1.1× 16 115
Ruilong Dan China 2 153 5.5× 22 1.3× 9 0.6× 2 0.2× 2 0.2× 2 251

Countries citing papers authored by Yuanhan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yuanhan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanhan Mo

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

All Works

7 of 7 papers shown
1.
Mo, Yuanhan, et al.. (2024). Spinal Osteophyte Detection Via Robust Patch Extraction on Minimally Annotated X-Rays. arXiv (Cornell University). 1–5. 1 indexed citations
2.
Mo, Yuanhan, Fangde Liu, Guang Yang, et al.. (2024). Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. Medical Image Analysis. 95. 103196–103196. 2 indexed citations
3.
Chen, Yao, Yuanhan Mo, Aimee Readie, et al.. (2024). VertXNet: an ensemble method for vertebral body segmentation and identification from cervical and lumbar spinal X-rays. Scientific Reports. 14(1). 3341–3341. 11 indexed citations
4.
Dai, Chengliang, Shuo Wang, Yuanhan Mo, et al.. (2022). Suggestive annotation of brain MR images with gradient-guided sampling. Medical Image Analysis. 77. 102373–102373. 7 indexed citations
5.
Yu, Simiao, et al.. (2019). SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 734–738. 7 indexed citations
6.
Mo, Yuanhan, Fangde Liu, Jingqing Zhang, et al.. (2017). Deep Poincare Map For Robust Medical Image Segmentation.. arXiv (Cornell University). 1 indexed citations
7.
Mo, Yuanhan, Georgios Kontonatsios, & Sophia Ananiadou. (2015). Supporting systematic reviews using LDA-based document representations. Systematic Reviews. 4(1). 172–172. 62 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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