Gaofeng Cheng

1.1k total citations · 1 hit paper
44 papers, 668 citations indexed

About

Gaofeng Cheng is a scholar working on Artificial Intelligence, Signal Processing and Immunology. According to data from OpenAlex, Gaofeng Cheng has authored 44 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 25 papers in Signal Processing and 3 papers in Immunology. Recurrent topics in Gaofeng Cheng's work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (21 papers) and Natural Language Processing Techniques (19 papers). Gaofeng Cheng is often cited by papers focused on Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (21 papers) and Natural Language Processing Techniques (19 papers). Gaofeng Cheng collaborates with scholars based in China, Singapore and Thailand. Gaofeng Cheng's co-authors include Yonghong Yan, Daniel Povey, Sanjeev Khudanpur, Pengyuan Zhang, Hainan Xu, Mahsa Yarmohammadi, Yiming Wang, Ke Li, Vimal Manohar and Vijayaditya Peddinti and has published in prestigious journals such as Electronics Letters, Fish & Shellfish Immunology and IEEE Signal Processing Letters.

In The Last Decade

Gaofeng Cheng

37 papers receiving 598 citations

Hit Papers

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Ne... 2018 2026 2020 2023 2018 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. Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks
    2018 275 citations Daniel Povey, Gaofeng Cheng 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
Gaofeng Cheng China 12 592 411 37 28 19 44 668
Raziel Álvarez United States 6 507 0.9× 345 0.8× 68 1.8× 14 0.5× 20 1.1× 6 601
Mengxiao Bi China 7 276 0.5× 255 0.6× 63 1.7× 13 0.5× 11 0.6× 13 397
K. K. Chin United Kingdom 10 423 0.7× 426 1.0× 34 0.9× 9 0.3× 10 0.5× 26 569
Suyoun Kim United States 12 1.1k 1.9× 804 2.0× 103 2.8× 48 1.7× 18 0.9× 24 1.3k
Eugene Weinstein United States 12 389 0.7× 326 0.8× 86 2.3× 12 0.4× 8 0.4× 24 531
Sining Sun China 9 357 0.6× 278 0.7× 35 0.9× 11 0.4× 26 1.4× 21 424
J. McDonough Germany 13 655 1.1× 556 1.4× 69 1.9× 48 1.7× 18 0.9× 24 767
Kishore Prahallad India 13 735 1.2× 556 1.4× 74 2.0× 88 3.1× 13 0.7× 54 811
Mohamad Hasan Bahari Belgium 13 321 0.5× 299 0.7× 45 1.2× 41 1.5× 33 1.7× 31 465
Guangsen Wang China 12 389 0.7× 275 0.7× 55 1.5× 7 0.3× 31 1.6× 49 484

Countries citing papers authored by Gaofeng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Gaofeng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaofeng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Gaofeng Cheng. A scholar is included among the top collaborators of Gaofeng Cheng 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 Gaofeng Cheng. Gaofeng Cheng 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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Cheng, Gaofeng, et al.. (2024). Conversational Short-Phrase Speaker Diarization via Self-Adjusting Speech Segmentation and Embedding Extraction. IEEE Signal Processing Letters. 31. 2340–2344. 2 indexed citations
6.
Chen, Yifan, et al.. (2024). Interrelate Training and Clustering for Online Speaker Diarization. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1352–1364. 2 indexed citations
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Cheng, Gaofeng, et al.. (2024). EC-BERT: A BERT Language Model with Error Correction for Mandarin Chinese Speech Recognition. Journal of Shanghai Jiaotong University (Science).
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Cheng, Gaofeng, et al.. (2023). ASQ: An Ultra-Low Bit Rate ASR-Oriented Speech Quantization Method. IEEE Signal Processing Letters. 31. 221–225. 1 indexed citations
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Cheng, Gaofeng, et al.. (2022). ETEH: Unified Attention-Based End-to-End ASR and KWS Architecture. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 1360–1373. 13 indexed citations
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Chen, Yifan, Yifan Guo, Qingxuan Li, et al.. (2022). Interrelate Training and Searching: A Unified Online Clustering Framework for Speaker Diarization. Interspeech 2022. 1456–1460. 5 indexed citations
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Li, Qingxuan, et al.. (2022). Sequence Distribution Matching for Unsupervised Domain Adaptation in ASR. 21–25. 2 indexed citations
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Li, Chengfei, Jinfeng Bai, Qingqing Zhang, et al.. (2022). Summary On The ISCSLP 2022 Chinese-English Code-Switching ASR Challenge. 527–531.
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Li, Zehan, et al.. (2022). Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning. Interspeech 2022. 2633–2637. 2 indexed citations
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Wang, Li, et al.. (2022). Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR. Interspeech 2022. 5 indexed citations
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Xue, Yuan, Jiawei Ren, Gaofeng Cheng, & Xu Ji. (2021). Toward Alleviating the Data Sparsity Problem of Deep Learning Based Underwater Target Classification. OCEANS 2021: San Diego – Porto. 1–4. 1 indexed citations
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Cheng, Gaofeng, et al.. (2020). Online Hybrid CTC/Attention End-to-End Automatic Speech Recognition Architecture. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1452–1465. 39 indexed citations
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Cheng, Gaofeng, Pengyuan Zhang, & Xu Ji. (2019). Automatic Speech Recognition System with Output-Gate Projected Gated Recurrent Unit. IEICE Transactions on Information and Systems. E102.D(2). 355–363. 5 indexed citations
19.
Povey, Daniel, Gaofeng Cheng, Yiming Wang, et al.. (2018). Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks. 3743–3747. 275 indexed citations breakdown →
20.
Cheng, Gaofeng, Daniel Povey, Lu Huang, et al.. (2018). Output-Gate Projected Gated Recurrent Unit for Speech Recognition. 1793–1797. 10 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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