Jung-Hua Wang

405 total citations
20 papers, 277 citations indexed

About

Jung-Hua Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jung-Hua Wang has authored 20 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Jung-Hua Wang's work include Neural Networks and Applications (9 papers), Face and Expression Recognition (4 papers) and Image and Signal Denoising Methods (3 papers). Jung-Hua Wang is often cited by papers focused on Neural Networks and Applications (9 papers), Face and Expression Recognition (4 papers) and Image and Signal Denoising Methods (3 papers). Jung-Hua Wang collaborates with scholars based in Taiwan and United States. Jung-Hua Wang's co-authors include Jinliang Chen, Chih‐Wen Wu, Shih‐Hung Chen, Ming‐Jer Chen, Yu‐Chiao Yi and Ming‐Chang Wu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Jung-Hua Wang

17 papers receiving 243 citations

Peers

Jung-Hua Wang
Karim El Moutaouakil Morocco
Haolei Chen China
Frédéric Vrins Belgium
Prajakta Nimbhorkar India
Ahlame Douzal-Chouakria France
Georges Hébrail France
Jaemin Yoo South Korea
Wang Bao-shu China
Karim El Moutaouakil Morocco
Jung-Hua Wang
Citations per year, relative to Jung-Hua Wang Jung-Hua Wang (= 1×) peers Karim El Moutaouakil

Countries citing papers authored by Jung-Hua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Hua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung-Hua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Hua Wang. A scholar is included among the top collaborators of Jung-Hua 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 Jung-Hua Wang. Jung-Hua 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.
Wang, Jung-Hua, et al.. (2025). Data cleaning for classification tasks based on iterative ensemble learning. Journal of Ambient Intelligence and Humanized Computing. 16(4-5). 577–588.
2.
Wang, Jung-Hua, et al.. (2024). Progressive Ensemble Learning for in-Sample Data Cleaning. IEEE Access. 12. 140643–140659. 1 indexed citations
3.
4.
Wu, Ming‐Chang, et al.. (2010). Retrospective tracking for barcode reading. 8. 114–119. 1 indexed citations
5.
Wang, Jung-Hua, et al.. (2006). Scale Equalized Higher-order Neural Networks. 1. 816–821. 1 indexed citations
6.
Chen, Shih‐Hung, et al.. (2005). Image Segmentation Based on Consensus Voting. 1–4. 2 indexed citations
7.
Wang, Jung-Hua, et al.. (2003). Two-stage clustering via neural networks. IEEE Transactions on Neural Networks. 14(3). 606–615. 16 indexed citations
8.
Chen, Jinliang & Jung-Hua Wang. (2003). A new robust clustering algorithm-density-weighted fuzzy c-means. 3. 90–94. 19 indexed citations
9.
Wang, Jung-Hua, et al.. (2003). Using self-creating neural network for surface reconstruction. 4. 886–890. 2 indexed citations
10.
Wang, Jung-Hua, et al.. (2002). Histogram-based fuzzy filter for image restoration. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 32(2). 230–238. 79 indexed citations
11.
Wang, Jung-Hua, et al.. (2002). Stereo matching by neural network that uses Sobel feature data. Proceedings of International Conference on Neural Networks (ICNN'96). 3. 1801–1806. 2 indexed citations
12.
Wang, Jung-Hua, et al.. (2002). Optimal clustering using neural networks. 2. 1625–1630. 3 indexed citations
13.
Wang, Jung-Hua, et al.. (2002). Stock trading decision support system using a rule selector based on sliding window. 1. 559–564. 7 indexed citations
14.
Wu, Chih‐Wen, et al.. (2002). Self-organizing mountain method for clustering. 4. 2434–2438. 5 indexed citations
15.
Wang, Jung-Hua, et al.. (2002). A fuzzy-based feature tuning algorithm applied to image segmentation. 4. 2140–2144.
16.
Wang, Jung-Hua, et al.. (2002). Stereo correspondence using Hopfield network with multiple constraints. 2. 1518–1523. 3 indexed citations
17.
Wang, Jung-Hua, et al.. (2002). Image compression using wavelet transform and self-development neural network. 4. 4104–4108. 3 indexed citations
18.
Wang, Jung-Hua, et al.. (2002). Stock market trend prediction using ARIMA-based neural networks. Proceedings of International Conference on Neural Networks (ICNN'96). 4. 2160–2165. 123 indexed citations
19.
Wang, Jung-Hua, et al.. (2002). Image restoration using parametric adaptive fuzzy filter. 198–202. 2 indexed citations
20.
Wang, Jung-Hua, et al.. (1999). Online learning vector quantization: a harmonic competition approach based on conservation network. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 29(5). 642–653. 8 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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