Shen Huang

571 total citations
40 papers, 289 citations indexed

About

Shen Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Shen Huang has authored 40 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Shen Huang's work include Speech Recognition and Synthesis (18 papers), Natural Language Processing Techniques (12 papers) and Speech and Audio Processing (8 papers). Shen Huang is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Natural Language Processing Techniques (12 papers) and Speech and Audio Processing (8 papers). Shen Huang collaborates with scholars based in China, Hong Kong and Taiwan. Shen Huang's co-authors include Qi Ju, Bojie Hu, Houfeng Wang, Jingbo Zhu, Tong Xiao, Xu Chen, Zhen Yang, Shanshan Zhang, Bo Xu and Shijin Wang and has published in prestigious journals such as Food Chemistry, Optics Express and Sensors.

In The Last Decade

Shen Huang

39 papers receiving 278 citations

Peers

Shen Huang
Apoorv Vyas Switzerland
Seongkyu Mun South Korea
Pinar Akyazi Switzerland
Apoorv Vyas Switzerland
Shen Huang
Citations per year, relative to Shen Huang Shen Huang (= 1×) peers Apoorv Vyas

Countries citing papers authored by Shen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shen Huang. A scholar is included among the top collaborators of Shen Huang 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 Shen Huang. Shen Huang 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.
Huang, Shen, et al.. (2024). A one-pot loop-mediated isothermal amplification platform using fluorescent gold nanoclusters for rapid and naked-eye pathogen detection. Food Chemistry. 460(Pt 1). 140573–140573. 5 indexed citations
2.
Huang, Kevin, et al.. (2024). The NPU-TEA System Report for the CHiME-8 MMCSG Challenge. 37–39. 1 indexed citations
4.
Tang, Zhiyuan, et al.. (2024). Pinyin Regularization in Error Correction for Chinese Speech Recognition with Large Language Models. 1910–1914. 2 indexed citations
5.
Huang, Kuan‐Gen, Yue Li, Ziqian Wang, et al.. (2024). The NPU-TEA System for the CHiME-8 NOTSOFAR-1 Challenge. 45–48. 2 indexed citations
6.
Shen, Wei, et al.. (2023). Nonlinear mechanical behavior and stress amplification effect correction of thin plate welded structure considering initial deformation. Journal of Constructional Steel Research. 213. 108409–108409. 4 indexed citations
7.
Ma, Xinyue, Shanshan Zhang, Shen Huang, et al.. (2023). How to Boost Anti-Spoofing with X-Vectors. 2 indexed citations
8.
Tang, Xiangyun, Meng Shen, Liehuang Zhu, et al.. (2023). Confidence-Aware Sentiment Quantification via Sentiment Perturbation Modeling. IEEE Transactions on Affective Computing. 15(2). 736–750. 4 indexed citations
9.
Liu, Yiming, Yao Hu, Shen Huang, et al.. (2022). Virtual-real combination Ritchey-Common interferometry. Optics Express. 30(9). 15777–15777. 5 indexed citations
10.
Chen, Xu, Bojie Hu, Yanyang Li, et al.. (2021). Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders. 2619–2630. 49 indexed citations
11.
Chen, Xu, Bojie Hu, Yufan Jiang, et al.. (2020). Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. 3977–3989. 14 indexed citations
12.
Wang, Qiufeng, et al.. (2020). Residual attention-based multi-scale script identification in scene text images. Neurocomputing. 421. 222–233. 19 indexed citations
13.
Wu, Haiwei, Weicheng Cai, Ming Li, et al.. (2019). DKU-Tencent Submission to Oriental Language Recognition AP18-OLR Challenge. 7. 1646–1651. 2 indexed citations
14.
Lv, Zhiqiang, et al.. (2018). Low-resource Tibetan Dialect Acoustic Modeling Based on Transfer Learning. 6–10. 2 indexed citations
15.
Huang, Shen, Xu Sun, & Houfeng Wang. (2017). Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure. International Joint Conference on Natural Language Processing. 1. 184–193. 16 indexed citations
16.
Huang, Shen & Houfeng Wang. (2016). Bi-LSTM Neural Networks for Chinese Grammatical Error Diagnosis. International Conference on Computational Linguistics. 148–154. 6 indexed citations
17.
Huang, Shen, et al.. (2010). Automatic Mispronunciation Detection for English Learners by GMM-UBM and GLDS-SVM Methods. ACTA AUTOMATICA SINICA. 36(2). 332–336. 1 indexed citations
18.
Huang, Shen, et al.. (2009). Automatic assessment of speech fluency in computer aided speech grading systems. 49. 2 indexed citations
20.
Wang, Lei, et al.. (2008). Music Genre Classification Based on Multiple Classifier Fusion. 580–583. 12 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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