Ren-Hua Wang
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Media Technology top 1%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Topics
- Speech Recognition and Synthesis (57 papers)Speech and Audio Processing (41 papers)Music and Audio Processing (24 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ren-Hua Wang
87 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 737
- Signal Processing 561
- Media Technology 371
- Computer Vision and Pattern Recognition 312
- Aerospace Engineering 161
Countries citing papers authored by Ren-Hua Wang
This map shows the geographic impact of Ren-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 Ren-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 Ren-Hua Wang more than expected).
Fields of papers citing papers by Ren-Hua Wang
This network shows the impact of papers produced by Ren-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 Ren-Hua Wang. The network helps show where Ren-Hua Wang may publish in the future.
Co-authorship network of co-authors of Ren-Hua Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ren-Hua Wang. A scholar is included among the top collaborators of Ren-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 Ren-Hua Wang. Ren-Hua Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networksbreakdown → | 285 |
| 6 | 0 | |
| 7 | 4 | |
| 8 | Speaker verification based on improved updates to the SVM | 1 |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | The Linguistic Knowledge Based Improvement in Automatic Putonghua Pronunciation Quality Assessment Algorithm | 1 |
| 13 | 2 | |
| 14 | 6 | |
| 15 | Precise Content Extraction from News Web Page Based on Decisions of Two Layers | 3 |
| 16 | New Prosody Phrase Prediction Model Based on Whole Sentence Similarity Computing | 0 |
| 17 | Polynomial Regression Model for Duration Prediction in Mandarin | 2 |
| 18 | Prosody Phrase Break Prediction Based on Maximum Entropy Model | 3 |
| 19 | 9 | |
| 20 | 0 |
About Ren-Hua Wang
Ren-Hua Wang is a scholar working on Signal Processing, Artificial Intelligence and Human Factors and Ergonomics, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (57 papers), Speech and Audio Processing (41 papers) and Music and Audio Processing (24 papers). The work is most often cited by research in Signal Processing (561 citations), Media Technology (371 citations) and Artificial Intelligence (737 citations). Ren-Hua Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhen-Hua Ling, Hongtao Huo, Chang Li, Jing Li, Qi Feng, Yi-Jian Wu, Junichi Yamagishi, Korin Richmond, Yu Hu and Si Wei. Their work appears in journals such as Pattern Recognition, Neuroreport and IEEE Transactions on Instrumentation and Measurement.
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.