Ren-Hua Wang

1.9k total citations · 1 hit paper
96 papers, 1.4k citations indexed

About

Ren-Hua Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ren-Hua Wang has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 44 papers in Signal Processing and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ren-Hua Wang's work include Speech Recognition and Synthesis (57 papers), Speech and Audio Processing (41 papers) and Music and Audio Processing (24 papers). Ren-Hua Wang is often cited by papers focused on Speech Recognition and Synthesis (57 papers), Speech and Audio Processing (41 papers) and Music and Audio Processing (24 papers). Ren-Hua Wang collaborates with scholars based in China, United States and Canada. Ren-Hua Wang's 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 and has published in prestigious journals such as Pattern Recognition, Neuroreport and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Ren-Hua Wang

87 papers receiving 1.2k citations

Hit Papers

AttentionFGAN: Infrared and Visible Image Fusion Using At... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks
    2020 285 citations Jing Li, Hongtao Huo et al. IEEE Transactions on Multimedia profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ren-Hua Wang China 17 737 561 371 312 161 96 1.4k
Brendan Klare United States 22 202 0.3× 1.2k 2.1× 67 0.2× 2.2k 7.0× 37 0.2× 34 2.5k
John Roach United States 11 136 0.2× 25 0.0× 33 0.1× 236 0.8× 108 0.7× 32 850
Gabriel Doyle United States 10 587 0.8× 111 0.2× 26 0.1× 1.2k 3.8× 27 0.2× 18 1.6k
D. Marshall United Kingdom 9 156 0.2× 83 0.1× 44 0.1× 300 1.0× 33 0.2× 25 802
M. Ortega United States 8 253 0.3× 169 0.3× 163 0.4× 1.3k 4.3× 7 0.0× 12 1.5k
Boon Low United Kingdom 5 67 0.1× 100 0.2× 62 0.2× 593 1.9× 19 0.1× 9 814
Yu-Ping Wang China 14 102 0.1× 87 0.2× 35 0.1× 183 0.6× 50 0.3× 68 794
Richard Guest United Kingdom 15 130 0.2× 237 0.4× 54 0.1× 371 1.2× 5 0.0× 96 834
Adam Janin United States 14 770 1.0× 439 0.8× 9 0.0× 226 0.7× 43 0.3× 40 1.1k
Kevin Tang United States 17 580 0.8× 134 0.2× 28 0.1× 966 3.1× 27 0.2× 54 1.5k

Countries citing papers authored by Ren-Hua Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zheng, Bowen, Ren-Hua Wang, Xiaowen Liu, & Jing Li. (2025). A multi-level detection guided and co-encoding network for infrared and visible image fusion. Pattern Recognition. 168. 111778–111778. 1 indexed citations
2.
Liu, Xiaowen, et al.. (2023). An attention-guided and wavelet-constrained generative adversarial network for infrared and visible image fusion. Infrared Physics & Technology. 129. 104570–104570. 15 indexed citations
3.
Wang, Ren-Hua, Tao Luo, Hanlin Zhang, & Pu-Feng Du. (2023). PLA-GNN: Computational inference of protein subcellular location alterations under drug treatments with deep graph neural networks. Computers in Biology and Medicine. 157. 106775–106775. 13 indexed citations
4.
Wang, Ren-Hua, et al.. (2021). Infrared and visible image fusion with multi-scale anisotropic guided filtering. Journal of Image and Graphics. 26(10). 2421–2432. 2 indexed citations
5.
Li, Jing, Hongtao Huo, Chang Li, Ren-Hua Wang, & Qi Feng. (2020). AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks. IEEE Transactions on Multimedia. 23. 1383–1396. 285 indexed citations breakdown →
6.
Wang, Ren-Hua, et al.. (2016). Silence in the second language classroom. International Journal of Bilingual Education and Bilingualism. 21(4). 510–513.
7.
Chen, Hongxi, et al.. (2015). The relationship between dizziness and cervical artery stenosis. Neuroreport. 26(18). 1112–1118. 4 indexed citations
8.
Wang, Ren-Hua. (2008). Speaker verification based on improved updates to the SVM. Journal of Tsinghua University(Science and Technology). 1 indexed citations
9.
Ling, Zhen-Hua, Heng Lu, Guoping Hu, Li-Rong Dai, & Ren-Hua Wang. (2008). The USTC System for Blizzard Challenge 2008. 29 indexed citations
10.
Wei, Si, et al.. (2008). Tone Evaluation of Chinese Continuous Speech Based on Prosodic Words. 1–4. 2 indexed citations
11.
12.
Wang, Ren-Hua. (2007). The Linguistic Knowledge Based Improvement in Automatic Putonghua Pronunciation Quality Assessment Algorithm. Zhongwen xinxi xuebao. 1 indexed citations
13.
Du, Jun, Peng Liu, Hui Jiang, Frank K. Soong, & Ren-Hua Wang. (2007). A New Minimum Divergence Approach to Discriminative Training. IV–677. 2 indexed citations
14.
Liu, Cong, et al.. (2007). A Constrained Line Search Optimization for Discriminative Training in Speech Recognition. IV–329. 6 indexed citations
15.
Wang, Ren-Hua. (2006). Precise Content Extraction from News Web Page Based on Decisions of Two Layers. Zhongwen xinxi xuebao. 3 indexed citations
16.
Wang, Ren-Hua. (2006). New Prosody Phrase Prediction Model Based on Whole Sentence Similarity Computing. Journal of Chinese Computer Systems.
17.
Wang, Ren-Hua. (2005). Polynomial Regression Model for Duration Prediction in Mandarin. Zhongwen xinxi xuebao. 2 indexed citations
18.
Wang, Ren-Hua. (2004). Prosody Phrase Break Prediction Based on Maximum Entropy Model. Zhongwen xinxi xuebao. 3 indexed citations
19.
Wang, Ren-Hua, et al.. (2000). A corpus-based Chinese speech synthesis with contextual dependent unit selection. vol. 2, 391–394. 9 indexed citations
20.

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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