Jia‐Ching Wang

2.6k total citations
181 papers, 1.7k citations indexed

About

Jia‐Ching Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jia‐Ching Wang has authored 181 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Signal Processing, 90 papers in Computer Vision and Pattern Recognition and 69 papers in Artificial Intelligence. Recurrent topics in Jia‐Ching Wang's work include Speech and Audio Processing (84 papers), Music and Audio Processing (68 papers) and Speech Recognition and Synthesis (32 papers). Jia‐Ching Wang is often cited by papers focused on Speech and Audio Processing (84 papers), Music and Audio Processing (68 papers) and Speech Recognition and Synthesis (32 papers). Jia‐Ching Wang collaborates with scholars based in Taiwan, Vietnam and United States. Jia‐Ching Wang's co-authors include Jhing-Fa Wang, Chien-Yao Wang, Chung‐Hsien Wu, An‐Chao Tsai, Anand Paul, Jar‐Ferr Yang, Jiing‐Yih Lai, I-Hui Hsieh, Bo‐Wei Chen and Ernestasia Siahaan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Jia‐Ching Wang

163 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia‐Ching Wang Taiwan 22 967 672 495 181 120 181 1.7k
David K. Han United States 22 289 0.3× 906 1.3× 292 0.6× 141 0.8× 49 0.4× 103 1.5k
Abdelmalik Taleb‐Ahmed France 18 322 0.3× 776 1.2× 360 0.7× 95 0.5× 42 0.3× 114 1.4k
Xi Zhou China 25 423 0.4× 1.2k 1.8× 641 1.3× 109 0.6× 44 0.4× 98 2.0k
Maheshkumar H. Kolekar India 26 424 0.4× 652 1.0× 291 0.6× 243 1.3× 408 3.4× 99 1.7k
Sriram Ganapathy India 27 1.1k 1.1× 382 0.6× 1.3k 2.6× 147 0.8× 116 1.0× 154 2.4k
Andrzej Czyżewski Poland 16 615 0.6× 447 0.7× 287 0.6× 150 0.8× 194 1.6× 281 1.4k
Bing‐Fei Wu Taiwan 25 287 0.3× 969 1.4× 240 0.5× 352 1.9× 72 0.6× 169 2.1k
Fatih Ertam Türkiye 18 339 0.4× 148 0.2× 492 1.0× 123 0.7× 96 0.8× 51 1.2k
Fatih Demir Türkiye 18 328 0.3× 195 0.3× 244 0.5× 95 0.5× 113 0.9× 37 1.1k

Countries citing papers authored by Jia‐Ching Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jia‐Ching Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia‐Ching 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 Jia‐Ching Wang. The network helps show where Jia‐Ching Wang may publish in the future.

Co-authorship network of co-authors of Jia‐Ching Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jia‐Ching Wang. A scholar is included among the top collaborators of Jia‐Ching 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 Jia‐Ching Wang. Jia‐Ching 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.
Chen, Zhisheng, et al.. (2025). A Hybrid Deep Learning and Feature Descriptor Approach for Partial Fingerprint Recognition. Electronics. 14(9). 1807–1807. 1 indexed citations
2.
3.
Luong, Huong Hoang, et al.. (2025). MLSS: Mandarin English Code-Switching Speech Recognition via Mutual Learning-Based Semi-Supervised Method. IEEE Signal Processing Letters. 32. 1510–1514. 2 indexed citations
4.
Chen, Shih‐Lun, et al.. (2024). Audio Pre-Processing and Beamforming Implementation on Embedded Systems. Electronics. 13(14). 2784–2784. 1 indexed citations
5.
Su, Ming-Hsiang, et al.. (2024). Few-Shot Image Segmentation Using Generating Mask with Meta-Learning Classifier Weight Transformer Network. Electronics. 13(13). 2634–2634. 1 indexed citations
6.
Su, Ming-Hsiang, et al.. (2024). Implementation of Sound Direction Detection and Mixed Source Separation in Embedded Systems. Sensors. 24(13). 4351–4351.
7.
Lai, Yen‐Ting, Phuong Thi Le, Zeyu Wang, et al.. (2024). Target Speaker Extraction Using Attention-Enhanced Temporal Convolutional Network. Electronics. 13(2). 307–307. 3 indexed citations
8.
Wang, Jia‐Ching, et al.. (2024). LCSL: Long-Tailed Classification via Self-Labeling. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 12048–12058. 4 indexed citations
9.
10.
Yang, Kailin, et al.. (2024). HAPiCLR: heuristic attention pixel-level contrastive loss representation learning for self-supervised pretraining. The Visual Computer. 40(11). 7945–7960. 1 indexed citations
11.
12.
Hsu, Yi‐Chiung, et al.. (2023). Electrocardiogram Heartbeat Classification for Arrhythmias and Myocardial Infarction. Sensors. 23(6). 2993–2993. 22 indexed citations
13.
Li, Yung‐Hui, et al.. (2022). Self-Supervised Learning Framework toward State-of-the-Art Iris Image Segmentation. Sensors. 22(6). 2133–2133. 5 indexed citations
14.
Wang, Chien-Yao, et al.. (2020). Spectral–Temporal Receptive Field-Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification. IEEE Transactions on Cybernetics. 52(5). 3684–3695. 7 indexed citations
15.
Wang, Chien-Yao, et al.. (2020). Sound Events Recognition and Retrieval Using Multi-Convolutional-Channel Sparse Coding Convolutional Neural Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1875–1887. 11 indexed citations
16.
Lai, Jiing‐Yih, et al.. (2020). Sanders classification of calcaneal fractures in CT images with deep learning and differential data augmentation techniques. Injury. 52(3). 616–624. 49 indexed citations
17.
Wang, Jia‐Ching, et al.. (2019). Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images. Computer Methods and Programs in Biomedicine. 171. 27–37. 112 indexed citations
18.
Wang, Jia‐Ching, et al.. (2008). Design and Implementation of Subspace-Based Speech Enhancement Under In-Car Noisy Environments. IEEE Transactions on Vehicular Technology. 57(3). 1466–1479. 11 indexed citations
19.
Wang, Jia‐Ching, et al.. (2007). Critical Band Subspace-Based Speech Enhancement Using SNR and Auditory Masking Aware Technique(Speech and Hearing). IEICE Transactions on Information and Systems. 90(7). 1055–1062. 1 indexed citations
20.
Wang, Jhing-Fa, et al.. (2002). VLSI architecture and implementation for speech recognizer based on discriminative Bayesian neural network. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(8). 1861–1869. 4 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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