James Qin

6.4k total citations · 1 hit paper
9 papers, 2.1k citations indexed

About

James Qin is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, James Qin has authored 9 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Signal Processing and 1 paper in Computer Networks and Communications. Recurrent topics in James Qin's work include Speech Recognition and Synthesis (8 papers), Speech and Audio Processing (6 papers) and Music and Audio Processing (5 papers). James Qin is often cited by papers focused on Speech Recognition and Synthesis (8 papers), Speech and Audio Processing (6 papers) and Music and Audio Processing (5 papers). James Qin collaborates with scholars based in United States. James Qin's co-authors include Ruoming Pang, Chung‐Cheng Chiu, Yonghui Wu, Wei Han, Yu Zhang, Anmol Gulati, Jiahui Yu, Zhengdong Zhang, Niki Parmar and Shibo Wang and has published in prestigious journals such as .

In The Last Decade

James Qin

9 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Conformer: Convolution-augmented Transformer for Speech Recognition

2020 1.7k citations Anmol Gulati, James Qin et al. profile →

Peers

James Qin

AI

SP

CVPR

ECP

CSE

Anmol Gulati United States

Niki Parmar United States

Hagen Soltau United States

George Saon United States

Nanxin Chen United States

Xiaodong Cui United States

Vijayaditya Peddinti United States

Xiong Xiao Singapore

J.-L. Gauvain France

Anmol Gulati United States

James Qin

1.6k ×1.0

AI

1.1k ×1.0

SP

272 ×0.9

CVPR

96 ×1.0

ECP

70 ×1.0

CSE

Citations per year, relative to James Qin James Qin (= 1×) peers Anmol Gulati

Countries citing papers authored by James Qin

Since Specialization

Citations

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

Fields of papers citing papers by James Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Qin

This figure shows the co-authorship network connecting the top 25 collaborators of James Qin. A scholar is included among the top collaborators of James Qin 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 James Qin. James Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wang, Weiran, Rohit Prabhavalkar, Zhong Meng, et al.. (2024). Massive End-to-end Speech Recognition Models with Time Reduction. 6206–6217. 1 indexed citations

2.

Allauzen, Cyril, Ke Hu, James Qin, et al.. (2024). Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. 13306–13310. 2 indexed citations

3.

Chung, Yu-An, Yu Zhang, Wei Han, et al.. (2021). w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. 244–250. 168 indexed citations

4.

Li, Bo, Anmol Gulati, Jiahui Yu, et al.. (2021). A Better and Faster end-to-end Model for Streaming ASR. 5634–5638. 67 indexed citations

5.

Sainath, Tara N., Arun Narayanan, Ruoming Pang, et al.. (2021). An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. 1777–1781. 31 indexed citations

6.

Li, Bo, Ruoming Pang, Tara N. Sainath, et al.. (2021). Scaling End-to-End Models for Large-Scale Multilingual ASR. 1011–1018. 41 indexed citations

7.

Gulati, Anmol, James Qin, Chung‐Cheng Chiu, et al.. (2020). Conformer: Convolution-augmented Transformer for Speech Recognition. 5036–5040. 1668 indexed citations breakdown →

8.

Han, Wei, Zhengdong Zhang, Yu Zhang, et al.. (2020). ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. 3610–3614. 162 indexed citations

9.

Li, Wei, James Qin, Chung‐Cheng Chiu, Ruoming Pang, & Yanzhang He. (2020). Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition. 2122–2126. 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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