Weiran Wang

3.4k total citations · 1 hit paper
56 papers, 1.1k citations indexed

About

Weiran Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weiran Wang has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 24 papers in Signal Processing and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weiran Wang's work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (15 papers). Weiran Wang is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (15 papers). Weiran Wang collaborates with scholars based in United States, China and Germany. Weiran Wang's co-authors include Karen Livescu, Raman Arora, Jeff Bilmes, Miguel Á. Carreira-Perpiñán, Herman Kamper, Qingming Tang, Kevin Gimpel, Mohit Bansal, Ming Sun and Yao He and has published in prestigious journals such as Sensors, IEEE Transactions on Mobile Computing and Vacuum.

In The Last Decade

Weiran Wang

49 papers receiving 1.0k citations

Hit Papers

On Deep Multi-View Representation Learning 2015 2026 2018 2022 2015 100 200 300
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. On Deep Multi-View Representation Learning
    2015 372 citations Weiran Wang, Karen Livescu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiran Wang United States 17 626 475 320 63 57 56 1.1k
Gabriel Synnaeve France 19 1.5k 2.4× 708 1.5× 546 1.7× 42 0.7× 24 0.4× 54 2.1k
Dzulkifli Mohamad Malaysia 17 249 0.4× 672 1.4× 111 0.3× 44 0.7× 100 1.8× 79 939
Vinay P. Namboodiri India 15 483 0.8× 864 1.8× 338 1.1× 42 0.7× 54 0.9× 93 1.3k
Chien-Hsing Chou Taiwan 13 492 0.8× 459 1.0× 95 0.3× 44 0.7× 116 2.0× 58 1.1k
Med Salim Bouhlel Tunisia 16 262 0.4× 577 1.2× 77 0.2× 110 1.7× 181 3.2× 178 1.0k
Haytham M. Fayek Australia 13 346 0.6× 190 0.4× 304 0.9× 27 0.4× 41 0.7× 39 881
Matthew Johnson United States 12 357 0.6× 776 1.6× 60 0.2× 34 0.5× 32 0.6× 37 1.2k
Konstantinos Bousmalis United Kingdom 9 783 1.3× 1.0k 2.1× 98 0.3× 82 1.3× 28 0.5× 16 1.5k
Andreas Savakis United States 17 274 0.4× 931 2.0× 92 0.3× 69 1.1× 91 1.6× 135 1.3k

Countries citing papers authored by Weiran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiran Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiran Wang. A scholar is included among the top collaborators of Weiran 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 Weiran Wang. Weiran 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
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2.
Wang, Weiran, Rohit Prabhavalkar, Zhong Meng, et al.. (2024). Massive End-to-end Speech Recognition Models with Time Reduction. 6206–6217. 1 indexed citations
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5.
Ding, Shaojin, Yanzhang He, Bo Li, et al.. (2024). USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. 10756–10760. 1 indexed citations
6.
Wu, Qinghua, et al.. (2023). Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming. IEEE Transactions on Mobile Computing. 23(5). 5799–5817. 4 indexed citations
7.
Sainath, Tara N., Rohit Prabhavalkar, Ankur Bapna, et al.. (2023). JOIST: A Joint Speech and Text Streaming Model for ASR. 52–59. 16 indexed citations
8.
Song, G. Hugh, Zelin Wu, Golan Pundak, et al.. (2023). Contextual Spelling Correction with Large Language Models. 1–8. 1 indexed citations
9.
Wang, Weiran, Qingming Tang, & Karen Livescu. (2020). Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. 6889–6893. 48 indexed citations
10.
Chen, Yang, Weiran Wang, & Chao Wang. (2020). Semi-Supervised ASR by End-to-End Self-Training. 2787–2791. 21 indexed citations
11.
Gao, Chao, Dan Garber, Nathan Srebro, Jialei Wang, & Weiran Wang. (2019). Stochastic Canonical Correlation Analysis. arXiv (Cornell University). 20(167). 1–46. 3 indexed citations
12.
Chen, Wei, et al.. (2019). Anti-disturbance grabbing of underwater robot based on retinex image enhancement. 41. 2157–2162. 7 indexed citations
13.
Kim, Tae-Hwan, Weiran Wang, Hao Tang, & Karen Livescu. (2016). Signer-independent fingerspelling recognition with deep neural network adaptation. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 6160–6164. 21 indexed citations
14.
Wang, Weiran & Karen Livescu. (2016). Large-Scale Approximate Kernel Canonical Correlation Analysis. arXiv (Cornell University). 12 indexed citations
15.
Michaeli, Tomer, Weiran Wang, & Karen Livescu. (2016). Nonparametric canonical correlation analysis. International Conference on Machine Learning. 1967–1976. 24 indexed citations
16.
Wang, Weiran & Miguel Á. Carreira-Perpiñán. (2014). The Role of Dimensionality Reduction in Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 22 indexed citations
17.
Wang, Weiran & Miguel Á. Carreira-Perpiñán. (2010). Manifold blurring mean shift algorithms for manifold denoising. 1759–1766. 33 indexed citations
18.
Wang, Weiran, et al.. (2006). Denoising lidar signal by combining wavelet improved threshold with wavelet domain spatial filtering. Chinese Optics Letters. 4(12). 694–696. 8 indexed citations
19.
Wang, Weiran, et al.. (2005). A Secure Watermarking Algorithm Based on Coupled Map Lattice. 1 indexed citations
20.
Wang, Weiran, et al.. (2004). Effect of Atmospheric Scintillation on SNR of Differential Absorption Lidar System. 1 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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