Yunan Wu

673 total citations
34 papers, 334 citations indexed

About

Yunan Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yunan Wu has authored 34 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yunan Wu's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Advanced MRI Techniques and Applications (5 papers). Yunan Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Advanced MRI Techniques and Applications (5 papers). Yunan Wu collaborates with scholars based in United States, China and Spain. Yunan Wu's co-authors include Aggelos K. Katsaggelos, Jie Deng, Mark Supanich, Ramsey M. Wehbe, Bradley D. Allen, Donald R. Cantrell, Rishi Agrawal, Hatice Savas, Nicholas Xiao and Gregory White and has published in prestigious journals such as Scientific Reports, Radiology and Food Chemistry.

In The Last Decade

Yunan Wu

26 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunan Wu United States 9 184 95 50 49 30 34 334
Talha Anwar Pakistan 10 88 0.5× 90 0.9× 19 0.4× 25 0.5× 12 0.4× 26 291
Ahmet Saygılı Türkiye 9 118 0.6× 104 1.1× 15 0.3× 16 0.3× 11 0.4× 29 264
Yu Guan China 11 238 1.3× 36 0.4× 14 0.3× 6 0.1× 13 0.4× 49 524
Myungeun Lee South Korea 11 63 0.3× 45 0.5× 11 0.2× 2 0.0× 20 0.7× 54 362
Sungmin Lim South Korea 13 102 0.6× 73 0.8× 6 0.1× 21 0.4× 25 0.8× 43 623
Jin Uk Heo United States 4 199 1.1× 139 1.5× 2 0.0× 45 0.9× 22 0.7× 5 280
Nataly Ilyasova Russia 12 240 1.3× 107 1.1× 16 0.3× 3 0.1× 11 0.4× 68 419
Khalid El Asnaoui Portugal 6 273 1.5× 177 1.9× 2 0.0× 51 1.0× 46 1.5× 16 359
Sameh Abd El-Ghany Saudi Arabia 10 83 0.5× 83 0.9× 2 0.0× 13 0.3× 14 0.5× 29 236

Countries citing papers authored by Yunan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yunan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yunan Wu. A scholar is included among the top collaborators of Yunan Wu 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 Yunan Wu. Yunan Wu 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.
Morales-Álvarez, Pablo, et al.. (2025). Probabilistic smooth attention for deep multiple instance learning in medical imaging. Pattern Recognition. 171. 112097–112097.
3.
Wu, Yunan, et al.. (2025). MCPS: A multispectral composite projection stealth technology for invisibility under multispectral camera detection. Optics & Laser Technology. 189. 112994–112994.
4.
Wu, Yunan, James Zhang, Donald R. Cantrell, et al.. (2024). Precise Image-level Localization of Intracranial Hemorrhage on Head CT Scans with Deep Learning Models Trained on Study-level Labels. Radiology Artificial Intelligence. 6(6). e230296–e230296. 2 indexed citations
5.
Wu, Yunan, et al.. (2024). Multispectral composite projection system based on novel spectral time-division encoding technology. Optics & Laser Technology. 183. 112313–112313. 1 indexed citations
6.
Morales-Álvarez, Pablo, et al.. (2024). Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artificial Intelligence. 331. 104115–104115. 2 indexed citations
7.
Wu, Yunan, et al.. (2023). Cognitive and Emotional Monitoring with Inexpensive Wrist-Worn Consumer-Grade Wearables. 665–670. 1 indexed citations
8.
Wu, Yunan, et al.. (2023). An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. Expert Systems with Applications. 240. 122296–122296. 5 indexed citations
9.
Wu, Yunan, Bruno Rocha, Evangelos Kaimakamis, et al.. (2023). A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters. Expert Systems with Applications. 235. 121089–121089. 8 indexed citations
10.
Chang, Jun, et al.. (2023). Multilevel holographic encryption based on the Tiger Amulet concept. Optics Express. 31(24). 39396–39396.
11.
12.
Li, Jiaxin, Yiwen Bao, Zhiying Li, et al.. (2023). Dual-function β-cyclodextrin/starch-based intelligent film with reversible responsiveness and sustained bacteriostat-releasing for food preservation and monitoring. International Journal of Biological Macromolecules. 253(Pt 5). 127168–127168. 6 indexed citations
13.
Cui, Huijun, Zhihuan Zang, Qiao Jiang, et al.. (2023). Utilization of ultrasound and glycation to improve functional properties and encapsulated efficiency of proteins in anthocyanins. Food Chemistry. 419. 135899–135899. 40 indexed citations
14.
Cui, Huijun, Qiao Jiang, Ningxuan Gao, et al.. (2023). Complexes of glycated casein and carboxymethyl cellulose enhance stability and control release of anthocyanins. Food Research International. 176. 113804–113804. 14 indexed citations
15.
Wu, Yunan, Junchi Liu, Gregory White, & Jie Deng. (2022). Image-based motion artifact reduction on liver dynamic contrast enhanced MRI. Physica Medica. 105. 102509–102509. 5 indexed citations
16.
Wu, Yunan, Pierre Besson, S. Kathleen Bandt, et al.. (2022). A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction. Scientific Reports. 12(1). 17760–17760. 5 indexed citations
18.
Wu, Yunan, et al.. (2022). Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. Computer Methods and Programs in Biomedicine. 219. 106783–106783. 22 indexed citations
19.
Wehbe, Ramsey M., Yunan Wu, Donald R. Cantrell, et al.. (2020). DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set. Radiology. 299(1). E167–E176. 119 indexed citations
20.
Wu, Yunan, et al.. (2020). Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors. Annals of Translational Medicine. 8(11). 701–701. 43 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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