Yifan Gong

5.3k total citations · 1 hit paper
124 papers, 2.7k citations indexed

About

Yifan Gong is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yifan Gong has authored 124 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Artificial Intelligence, 77 papers in Signal Processing and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yifan Gong's work include Speech Recognition and Synthesis (91 papers), Speech and Audio Processing (68 papers) and Music and Audio Processing (56 papers). Yifan Gong is often cited by papers focused on Speech Recognition and Synthesis (91 papers), Speech and Audio Processing (68 papers) and Music and Audio Processing (56 papers). Yifan Gong collaborates with scholars based in United States, France and United Kingdom. Yifan Gong's co-authors include Jinyu Li, Jui-Ting Huang, Dong Yu, Jian Xue, Rui Zhao, Alex Acero, Li Deng, Zhong Meng, Michael L. Seltzer and Yong Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.

In The Last Decade

Yifan Gong

116 papers receiving 2.5k citations

Hit Papers

Recent advances in deep learning for speech research at M... 2013 2026 2017 2021 2013 100 200 300 400 500
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. Recent advances in deep learning for speech research at Microsoft
    2013 510 citations Li Deng, Jinyu Li 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
Yifan Gong United States 28 2.1k 1.6k 499 160 75 124 2.7k
Dong Yu United States 7 1.6k 0.7× 1.1k 0.7× 405 0.8× 117 0.7× 73 1.0× 11 2.2k
George Saon United States 29 2.8k 1.3× 2.0k 1.3× 385 0.8× 77 0.5× 69 0.9× 124 3.3k
Yifan Gong United States 23 2.1k 1.0× 1.9k 1.2× 288 0.6× 84 0.5× 55 0.7× 103 2.7k
Tomoki Hayashi Japan 25 2.8k 1.3× 2.2k 1.4× 414 0.8× 66 0.4× 54 0.7× 78 3.4k
Georg Heigold Germany 22 1.8k 0.8× 1.2k 0.8× 461 0.9× 83 0.5× 37 0.5× 59 2.2k
Xiaodong Cui United States 21 1.2k 0.5× 824 0.5× 238 0.5× 123 0.8× 37 0.5× 92 1.6k
Hagen Soltau United States 23 2.2k 1.1× 1.6k 1.0× 318 0.6× 67 0.4× 61 0.8× 64 2.7k
Zhizheng Wu China 31 3.2k 1.5× 2.9k 1.9× 488 1.0× 57 0.4× 50 0.7× 100 3.7k

Countries citing papers authored by Yifan Gong

Since Specialization
Citations

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

Fields of papers citing papers by Yifan Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yifan Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Yifan Gong. A scholar is included among the top collaborators of Yifan Gong 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 Yifan Gong. Yifan Gong 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.
Dong, Peiyan, Zhenglun Kong, Yifan Gong, et al.. (2025). Squat: Quant Small Language Models on the Edge. 1–9.
2.
Gong, Yifan, et al.. (2025). The interplay between trace element zinc and chronic liver diseases: Still water run deep. Journal of Functional Foods. 127. 106784–106784.
3.
Gong, Yifan, Zheng Zhan, Pu Zhao, et al.. (2024). LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. 1–6. 1 indexed citations
4.
5.
Gong, Yifan, et al.. (2024). Idiopathic aplastic anemia with concurrent complications of colonic perforation and mucormycosis: Case report. Heliyon. 10(13). e34091–e34091. 1 indexed citations
6.
Jia, Yan, Shuyi Liu, Yongqing Liu, et al.. (2024). Echo-Level SAR Imaging Simulation of Wakes Excited by a Submerged Body. Sensors. 24(4). 1094–1094. 2 indexed citations
7.
Gaur, Yashesh, et al.. (2023). Streaming, Fast and Accurate on-Device Inverse Text Normalization for Automatic Speech Recognition. abs/1611. 00068. 237–244. 2 indexed citations
8.
Gong, Yifan, Geng Yuan, Zheng Zhan, et al.. (2022). Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Transactions on Design Automation of Electronic Systems. 27(5). 1–26. 5 indexed citations
9.
Lu, Liang, Naoyuki Kanda, Jinyu Li, & Yifan Gong. (2021). Streaming End-to-End Multi-Talker Speech Recognition. IEEE Signal Processing Letters. 28. 803–807. 26 indexed citations
10.
Jian, Tong, Yifan Gong, Zheng Zhan, et al.. (2021). Radio Frequency Fingerprinting on the Edge. IEEE Transactions on Mobile Computing. 21(11). 4078–4093. 42 indexed citations
11.
Zhan, Zheng, Yifan Gong, Zhengang Li, et al.. (2020). A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.. arXiv (Cornell University). 2 indexed citations
12.
Dong, Peiyan, Wei Niu, Sheng Lin, et al.. (2020). RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. 1–6. 35 indexed citations
13.
Das, Amit, Jinyu Li, Guoli Ye, Rui Zhao, & Yifan Gong. (2019). Advancing Acoustic-to-Word CTC Model With Attention and Mixed-Units. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(12). 1880–1892. 19 indexed citations
14.
Liu, Chaojun, Yongqiang Wang, Kshitiz Kumar, & Yifan Gong. (2016). Investigations on speaker adaptation of LSTM RNN models for speech recognition. 38 indexed citations
15.
Huang, Jui-Ting, Jinyu Li, & Yifan Gong. (2015). An analysis of convolutional neural networks for speech recognition. 4989–4993. 91 indexed citations
16.
Li, Jinyu, Abdelrahman Mohamed, Geoffrey Zweig, & Yifan Gong. (2015). LSTM time and frequency recurrence for automatic speech recognition. 187–191. 72 indexed citations
17.
Zhao, Rui, Jinyu Li, & Yifan Gong. (2014). Variable-component deep neural network for robust speech recognition. 2719–2723. 2 indexed citations
18.
Deng, Li, Jinyu Li, Jui-Ting Huang, et al.. (2013). Recent advances in deep learning for speech research at Microsoft. 8604–8608. 510 indexed citations breakdown →
19.
Yu, Dong, Jasha Droppo, Jian Wu, et al.. (2008). Robust speech recognition using cepstral minimum-mean-square-error noise suppressor. 16(5). 5 indexed citations
20.
Yu, Dong, Li Deng, Yifan Gong, & Alex Acero. (2008). Discriminative training of variable-parameter HMMs for noise robust speech recognition. 285–288. 11 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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