Chuin-Mu Wang

735 total citations
41 papers, 510 citations indexed

About

Chuin-Mu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chuin-Mu Wang has authored 41 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Chuin-Mu Wang's work include Medical Image Segmentation Techniques (7 papers), AI in cancer detection (5 papers) and Remote-Sensing Image Classification (5 papers). Chuin-Mu Wang is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), AI in cancer detection (5 papers) and Remote-Sensing Image Classification (5 papers). Chuin-Mu Wang collaborates with scholars based in Taiwan, United States and China. Chuin-Mu Wang's co-authors include Ruey‐Maw Chen, Yung‐Kuan Chan, Shyr-Shen Yu, Ting-Cheng Chang, Chien-Shun Lo, Sheng-Chih Yang, Chein‐I Chang, Pau‐Choo Chung, Jian‐Hong Liu and Clayton Chi‐Chang Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and Applied Soft Computing.

In The Last Decade

Chuin-Mu Wang

41 papers receiving 471 citations

Peers

Chuin-Mu Wang
Marzieh Zarinbal Iran
K. Ganesan India
B. Karthikeyan India
Lixiang Xu China
André Luis Debiaso Rossi Brazil
Akey Sungheetha India
Manas Ranjan Senapati India
Salabat Khan Pakistan
Ajeet Ram Pathak India
Pundru Chandra Shaker Reddy India
Marzieh Zarinbal Iran
Chuin-Mu Wang
Citations per year, relative to Chuin-Mu Wang Chuin-Mu Wang (= 1×) peers Marzieh Zarinbal

Countries citing papers authored by Chuin-Mu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chuin-Mu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuin-Mu Wang. 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 Chuin-Mu Wang. The network helps show where Chuin-Mu Wang may publish in the future.

Co-authorship network of co-authors of Chuin-Mu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuin-Mu Wang. A scholar is included among the top collaborators of Chuin-Mu Wang 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 Chuin-Mu Wang. Chuin-Mu Wang 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.
Lin, Guo-Shiang, et al.. (2023). Classification of Helicobacter Pylori infection based on deep convolutional neural network with visual attention and self-supervised learning for endoscopic images. Multimedia Tools and Applications. 82(24). 37731–37754. 4 indexed citations
2.
Wang, Chuin-Mu, et al.. (2022). Deep Learning Used to Detect Gear Inspection. 216–219. 1 indexed citations
3.
Wang, Chuin-Mu, et al.. (2022). Combining OpenPose with BiLSTM for Violence Detection in Long-Term Care. 212–215. 2 indexed citations
4.
Huang, Zihan, et al.. (2020). Application of Vehicle Detection Based On Deep Learning in Headlight Control. 178–180. 3 indexed citations
5.
Wang, Chuin-Mu, et al.. (2019). Share Price Trend Prediction Using Attention with LSTM Structure. 208–211. 8 indexed citations
6.
Wang, Chuin-Mu, et al.. (2018). Share Price Trend Prediction Using CRNN with LSTM Structure. 10–13. 19 indexed citations
7.
Wang, Chuin-Mu, et al.. (2017). The establishment of human-computer interaction based on Word2Vec. 4 indexed citations
8.
Yang, Sheng-Chih, et al.. (2017). Foreground detection using texture-based codebook method for monitoring systems. Signal Image and Video Processing. 12(4). 693–701. 2 indexed citations
9.
Yu, Shyr-Shen, et al.. (2017). Two improved k-means algorithms. Applied Soft Computing. 68. 747–755. 136 indexed citations
10.
Wang, Chuin-Mu, et al.. (2015). Parasite and Infected-Erythrocyte Image Segmentation in Stained Blood Smears. Journal of Medical and Biological Engineering. 35(6). 803–815. 5 indexed citations
11.
Lo, Chien-Shun & Chuin-Mu Wang. (2012). Support vector machine for breast MR image classification. Computers & Mathematics with Applications. 64(5). 1153–1162. 50 indexed citations
12.
Wang, Su, et al.. (2010). Applications of Kalman Filtering to Single Hyperspectral Signature Analysis. IEEE Sensors Journal. 10(3). 547–563. 11 indexed citations
13.
Wang, Chuin-Mu, Tsung‐Hung Lin, Ruey‐Maw Chen, & Sheng-Chih Yang. (2010). APPLICATION OF GRAY SYSTEM THEORY IN MRI CLASSIFICATION. Biomedical Engineering Applications Basis and Communications. 22(2). 111–118. 1 indexed citations
14.
Ouyang, Yen‐Chieh, et al.. (2010). Adaptive Inverse Hyperbolic Tangent Algorithm for Dynamic Contrast Adjustment in Displaying Scenes. EURASIP Journal on Advances in Signal Processing. 2010(1). 17 indexed citations
15.
Yang, Sheng-Chih, Chuin-Mu Wang, Hsian‐He Hsu, et al.. (2009). Contrast enhancement and tissues classification of breast MRI using Kalman filter-based linear mixing method. Computerized Medical Imaging and Graphics. 33(3). 187–196. 9 indexed citations
16.
Wang, Chuin-Mu, et al.. (2009). Extension Neural Network Approach to Classification of Brain MRI. 1. 515–517. 8 indexed citations
17.
Wang, Chuin-Mu, et al.. (2008). Application of Artificial Immune System Approach in MRI Classification. EURASIP Journal on Advances in Signal Processing. 2008(1). 8 indexed citations
18.
Wang, Chuin-Mu, et al.. (2006). An Extenics Approach to MRI Classification. 1. 562–567. 2 indexed citations
19.
Chung, Pau‐Choo, Chuin-Mu Wang, Sheng-Chih Yang, & Hsian‐He Hsu. (2006). Tissues Classification for Breast MRI Contrast Enhancement Using Spectral Signature Detection Approach. 12. 3917–3921. 1 indexed citations
20.
Wang, Chuin-Mu, Clayton Chi‐Chang Chen, Sheng-Chih Yang, et al.. (2003). Detection of spectral signatures in multispectral MR images for classification. IEEE Transactions on Medical Imaging. 22(1). 50–61. 32 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

Breakdown of academic impact, for papers by Marzieh Zarinbal Breakdown of academic impact, for papers by K. Ganesan Breakdown of academic impact, for papers by B. Karthikeyan Breakdown of academic impact, for papers by Lixiang Xu Breakdown of academic impact, for papers by André Luis Debiaso Rossi Breakdown of academic impact, for papers by Akey Sungheetha Breakdown of academic impact, for papers by Manas Ranjan Senapati Breakdown of academic impact, for papers by Salabat Khan Breakdown of academic impact, for papers by Ajeet Ram Pathak Breakdown of academic impact, for papers by Pundru Chandra Shaker Reddy
Rankless by CCL
2026