Yao Wu

533 total citations
18 papers, 381 citations indexed

About

Yao Wu is a scholar working on Computer Vision and Pattern Recognition, Neurology and Computer Networks and Communications. According to data from OpenAlex, Yao Wu has authored 18 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Neurology and 4 papers in Computer Networks and Communications. Recurrent topics in Yao Wu's work include Medical Image Segmentation Techniques (7 papers), Brain Tumor Detection and Classification (5 papers) and Distributed and Parallel Computing Systems (4 papers). Yao Wu is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Brain Tumor Detection and Classification (5 papers) and Distributed and Parallel Computing Systems (4 papers). Yao Wu collaborates with scholars based in China, United States and India. Yao Wu's co-authors include Wei Yang, Wufan Chen, Qianjin Feng, Jun Jiang, Meiyan Huang, Zhentai Lu, Yu Zhang, Guoqing Liu, Qun Wu and Yang Gao and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Yao Wu

16 papers receiving 362 citations

Peers

Yao Wu

CVPR

NEURO

AI

RNMI

BE

P. Sriramakrishnan India

Nelly Gordillo Mexico

Ezequiel Geremia France

Muhammad Umer Mushtaq China

P. Kalavathi India

Andaç Hamamcı Türkiye

Jainy Sachdeva India

Shuangliang Cao China

Marko Barjaktarović Serbia

Mostefa Ben Naceur Algeria

P. Sriramakrishnan India

Yao Wu

184 ×0.6

CVPR

188 ×0.7

NEURO

93 ×1.0

AI

74 ×1.3

RNMI

26 ×0.7

BE

Citations per year, relative to Yao Wu Yao Wu (= 1×) peers P. Sriramakrishnan

Countries citing papers authored by Yao Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yao Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Wu, Yao, et al.. (2020). Learning Models for Semantic Classification of Insufficient Plantar Pressure Images.. International Journal of Interactive Multimedia and Artificial Intelligence. 6(1). 51–61. 13 indexed citations

2.

Zhong, Liming, Liyan Lin, Zhentai Lu, et al.. (2016). Predict CT image from MRI data using KNN-regression with learned local descriptors. 743–746. 13 indexed citations

3.

Wu, Yao, et al.. (2016). HAMR: A dataflow-based real-time in-memory cluster computing engine. The International Journal of High Performance Computing Applications. 31(5). 361–374. 2 indexed citations

4.

Wu, Yao, Guorong Wu, Li Wang, et al.. (2015). Hierarchical and symmetric infant image registration by robust longitudinal‐example‐guided correspondence detection. Medical Physics. 42(7). 4174–4189. 6 indexed citations

5.

Wu, Yao, et al.. (2015). Design and evaluation of a novel dataflow based bigdata solution. 40–48.

6.

Huang, Meiyan, Wei Yang, Yao Wu, et al.. (2014). Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images. PLoS ONE. 9(7). e102754–e102754. 31 indexed citations

7.

Huang, Meiyan, Wei Yang, Jun Jiang, et al.. (2014). Brain extraction based on locally linear representation-based classification. NeuroImage. 92. 322–339. 26 indexed citations

8.

Wu, Yao, Guoqing Liu, Meiyan Huang, et al.. (2014). Prostate Segmentation Based on Variant Scale Patch and Local Independent Projection. IEEE Transactions on Medical Imaging. 33(6). 1290–1303. 25 indexed citations

9.

Wu, Yao, Guoqing Liu, Meiyan Huang, et al.. (2014). Prostate segmentation based on variant scale patch and local independent projection. 1144–1147. 3 indexed citations

10.

Huang, Meiyan, Wei Yang, Yao Wu, et al.. (2014). Brain Tumor Segmentation Based on Local Independent Projection-Based Classification. IEEE Transactions on Biomedical Engineering. 61(10). 2633–2645. 160 indexed citations

11.

Jiang, Jun, Yao Wu, Meiyan Huang, et al.. (2013). 3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets. Computerized Medical Imaging and Graphics. 37(7-8). 512–521. 73 indexed citations

12.

Wu, Yao, et al.. (2013). Towards Memory-Load Balanced Fast Fourier Transformations in Fine-Grain Execution Models. 27. 1607–1617.

13.

Wu, Yao, et al.. (2013). Semi-automatic Segmentation of Brain Tumors Using Population and Individual Information. Journal of Digital Imaging. 26(4). 786–796. 18 indexed citations

14.

Hu, Jianzhong, et al.. (2013). A fault diagnosis method using Hyper-Ellipsoidal learning based Locally Linear Embedding. 48. 1103–1107. 2 indexed citations

15.

Wu, Yao, et al.. (2013). Automatic Locality Exploitation in the Codelet Model. 23. 853–862. 4 indexed citations

16.

Wu, Yao & Gonzalo R. Arce. (2011). Snapshot spectral imaging via compressive random convolution. 7076. 1465–1468. 3 indexed citations

17.

Wu, Yao. (2010). A Study of the Electric Bicycle Capacity. Science and Technology Information. 1 indexed citations

18.

Wu, Yao, et al.. (2009). Optical calibration of a digital micromirror device (DMD)-based compressive imaging (CI) system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7210. 72100F–72100F. 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.

Explore authors with similar magnitude of impact