Wen-Jia Kuo

493 total citations
7 papers, 368 citations indexed

About

Wen-Jia Kuo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Wen-Jia Kuo has authored 7 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Wen-Jia Kuo's work include AI in cancer detection (4 papers), Image and Signal Denoising Methods (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Wen-Jia Kuo is often cited by papers focused on AI in cancer detection (4 papers), Image and Signal Denoising Methods (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Wen-Jia Kuo collaborates with scholars based in Taiwan and South Korea. Wen-Jia Kuo's co-authors include Ruey‐Feng Chang, Dar‐Ren Chen, Chien‐Chung Lin, Ming‐Chun Chen, Cheng Chun Lee and Woo Kyung Moon and has published in prestigious journals such as Breast Cancer Research and Treatment, Ultrasound in Medicine & Biology and Journal of information science and engineering.

In The Last Decade

Wen-Jia Kuo

6 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen-Jia Kuo Taiwan	5	190	168	122	71	37	7	368
Yanpeng Wu China	9	279 1.5×	157 0.9×	149 1.2×	14 0.2×	28 0.8×	19	465
Niyazi Kılıç Türkiye	13	220 1.2×	175 1.0×	75 0.6×	32 0.5×	59 1.6×	29	506
Nisreen I. R. Yassin Egypt	6	278 1.5×	155 0.9×	229 1.9×	26 0.4×	25 0.7×	12	431
Enas M. F. El Houby Egypt	11	347 1.8×	111 0.7×	270 2.2×	21 0.3×	51 1.4×	17	509
Yaozhong Luo China	6	394 2.1×	206 1.2×	326 2.7×	45 0.6×	11 0.3×	7	536
Yanlin Tan China	17	201 1.1×	135 0.8×	224 1.8×	16 0.2×	47 1.3×	36	633
Saqib Qamar China	10	119 0.6×	160 1.0×	86 0.7×	17 0.2×	35 0.9×	22	382
Wen-Jie Wu Taiwan	8	451 2.4×	320 1.9×	342 2.8×	67 0.9×	13 0.4×	8	625
Liangliang Liu China	8	160 0.8×	175 1.0×	117 1.0×	17 0.2×	28 0.8×	21	481
Chii-Jen Chen Taiwan	9	120 0.6×	166 1.0×	172 1.4×	29 0.4×	3 0.1×	21	370

Countries citing papers authored by Wen-Jia Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Wen-Jia Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Jia Kuo. 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 Wen-Jia Kuo. The network helps show where Wen-Jia Kuo may publish in the future.

Co-authorship network of co-authors of Wen-Jia Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Jia Kuo. A scholar is included among the top collaborators of Wen-Jia Kuo 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 Wen-Jia Kuo. Wen-Jia Kuo 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:

7 of 7 papers shown

1.

Kuo, Wen-Jia. (2018). Computer-aided diagnosis for feature selection and classification of liver tumors in computed tomography images. 2018 IEEE International Conference on Applied System Invention (ICASI). 7. 1207–1210. 6 indexed citations

2.

Kuo, Wen-Jia, et al.. (2017). Preliminary results of computer aided system with the 2nd-generation narrow-band imaging for endoscopic screening of colorectal neoplasms. 5099. 854–857.

3.

Kuo, Wen-Jia & Chien‐Chung Lin. (2007). Two-Stage Road Sign Detection and Recognition. 1427–1430. 82 indexed citations

4.

Chen, Dar‐Ren, Wen-Jia Kuo, Ruey‐Feng Chang, Woo Kyung Moon, & Cheng Chun Lee. (2002). Use of the bootstrap technique with small training sets for computer-aided diagnosis in breast ultrasound. Ultrasound in Medicine & Biology. 28(7). 897–902. 31 indexed citations

5.

Chen, Dar‐Ren, et al.. (2002). Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks. Ultrasound in Medicine & Biology. 28(10). 1301–1310. 160 indexed citations

6.

Kuo, Wen-Jia, Ruey‐Feng Chang, Dar‐Ren Chen, & Cheng Chun Lee. (2001). Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images. Breast Cancer Research and Treatment. 66(1). 51–57. 86 indexed citations

7.

Chang, Ruey‐Feng & Wen-Jia Kuo. (1999). Images Coding Using Two-Pass Side-Match Finite-State Vector Quantization. Journal of information science and engineering. 15(1). 41–51. 3 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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