Chenglin Xu

1.1k total citations
41 papers, 670 citations indexed

About

Chenglin Xu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chenglin Xu has authored 41 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 31 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chenglin Xu's work include Speech Recognition and Synthesis (30 papers), Speech and Audio Processing (29 papers) and Music and Audio Processing (18 papers). Chenglin Xu is often cited by papers focused on Speech Recognition and Synthesis (30 papers), Speech and Audio Processing (29 papers) and Music and Audio Processing (18 papers). Chenglin Xu collaborates with scholars based in Singapore, China and Germany. Chenglin Xu's co-authors include Haizhou Li, Eng Siong Chng, Wei Rao, Longbiao Wang, Jianwu Dang, Meng Ge, Xiong Xiao, Jibin Wu, Lei Xie and Kay Chen Tan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Engineering Journal and Neural Networks.

In The Last Decade

Chenglin Xu

40 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenglin Xu Singapore 16 493 463 94 85 47 41 670
Nagendra Kumar India 5 306 0.6× 266 0.6× 29 0.3× 46 0.5× 20 0.4× 11 424
Marco Matassoni Italy 13 441 0.9× 656 1.4× 62 0.7× 104 1.2× 171 3.6× 65 764
Shinji Takaki Japan 16 817 1.7× 823 1.8× 59 0.6× 29 0.3× 111 2.4× 50 1.0k
Jeih-weih Hung Taiwan 12 361 0.7× 464 1.0× 35 0.4× 20 0.2× 106 2.3× 88 556
Nengheng Zheng China 10 164 0.3× 246 0.5× 90 1.0× 14 0.2× 22 0.5× 42 318
Mohammed Senoussaoui Canada 13 394 0.8× 386 0.8× 46 0.5× 105 1.2× 27 0.6× 20 622
Chengzhu Yu United States 16 597 1.2× 633 1.4× 35 0.4× 17 0.2× 64 1.4× 36 759
Bruce Denby France 15 317 0.6× 364 0.8× 74 0.8× 41 0.5× 16 0.3× 26 596
K. K. Chin United Kingdom 10 423 0.9× 426 0.9× 35 0.4× 24 0.3× 71 1.5× 26 569

Countries citing papers authored by Chenglin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Chenglin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenglin Xu. A scholar is included among the top collaborators of Chenglin Xu 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 Chenglin Xu. Chenglin Xu 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.
Hao, Xiang, Chenglin Xu, Chen Zhang, & Lei Xie. (2024). A neural network approach for speech enhancement and noise-robust bandwidth extension. Computer Speech & Language. 89. 101709–101709.
2.
Wen, Song, Yanyan Li, Chenglin Xu, et al.. (2024). The Relationship Between Computerized Face and Tongue Image Segmentation and Metabolic Parameters in Patients with Type 2 Diabetes Based on Machine Learning. Diabetes Metabolic Syndrome and Obesity. Volume 17. 4049–4068. 2 indexed citations
3.
Xu, Chenglin, et al.. (2024). ProteinsPlatform constructed from biofuctionalized-magnetized nano-chitosan for efficient separation of multi-tagged fusion proteins. Chemical Engineering Journal. 496. 154077–154077. 6 indexed citations
4.
Yu, Guochen, Chenglin Xu, Nan Li, et al.. (2024). Ks-Net: Multi-Band Joint Speech Restoration and Enhancement Network for 2024 ICASSP SSI Challenge. 33–34. 3 indexed citations
5.
6.
Hao, Xiang, Chenglin Xu, & Lei Xie. (2022). Neural speech enhancement with unsupervised pre-training and mixture training. Neural Networks. 158. 216–227. 12 indexed citations
7.
Ge, Meng, Chenglin Xu, Longbiao Wang, et al.. (2022). L-SpEx: Localized Target Speaker Extraction. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7287–7291. 16 indexed citations
8.
Hao, Xiang, Chenglin Xu, Lei Xie, & Haizhou Li. (2022). Optimizing the Perceptual Quality of Time-Domain Speech Enhancement with Reinforcement Learning. Tsinghua Science & Technology. 27(6). 939–947. 5 indexed citations
9.
Xu, Chenglin, et al.. (2021). Neural Speaker Extraction with Speaker-Speech Cross-Attention Network. 3535–3539. 16 indexed citations
10.
Liu, Xiaochen, et al.. (2021). An Automatic HFO Detection Method Combining Visual Inspection Features with Multi-Domain Features. Neuroscience Bulletin. 37(6). 777–788. 9 indexed citations
12.
Xiang, Hao, et al.. (2020). Time-Domain Neural Network Approach for Speech Bandwidth Extension. IEEE Conference Proceedings. 2020. 866–870. 1 indexed citations
13.
Ge, Meng, Chenglin Xu, Longbiao Wang, et al.. (2020). SpEx+: A Complete Time Domain Speaker Extraction Network. 1406–1410. 90 indexed citations
14.
Rao, Wei, Chenglin Xu, Eng Siong Chng, & Haizhou Li. (2019). Target Speaker Extraction for Multi-Talker Speaker Verification. 1273–1277. 20 indexed citations
15.
Xu, Chenglin, Wei Rao, Eng Siong Chng, & Haizhou Li. (2018). A Shifted Delta Coefficient Objective for Monaural Speech Separation Using Multi-task Learning. 3479–3483. 8 indexed citations
16.
Xu, Chenglin, Lei Xie, & Xiong Xiao. (2017). A Bidirectional LSTM Approach with Word Embeddings for Sentence Boundary Detection. Journal of Signal Processing Systems. 90(7). 1063–1075. 16 indexed citations
17.
Rao, Wei, Xiong Xiao, Chenglin Xu, et al.. (2016). Neural networks based channel compensation for i-vector speaker verification. 1–5. 2 indexed citations
18.
Lee, Kong Aik, Haizhou Li, Li Deng, et al.. (2016). The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. SPIRE - Sciences Po Institutional REpository. 3211–3215. 17 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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