Stephen M. Chu

1.9k total citations
56 papers, 1.2k citations indexed

About

Stephen M. Chu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephen M. Chu has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 26 papers in Signal Processing and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephen M. Chu's work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (19 papers) and Music and Audio Processing (13 papers). Stephen M. Chu is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (19 papers) and Music and Audio Processing (13 papers). Stephen M. Chu collaborates with scholars based in United States, China and Greece. Stephen M. Chu's co-authors include Junchi Yan, Hongyuan Zha, Xiaokang Yang, Thomas S. Huang, Shuai Xiao, Hao Tang, Daniel Povey, Minsu Cho, Xiaokang Yang and Dongsheng Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Stephen M. Chu

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen M. Chu United States 20 582 436 372 120 80 56 1.2k
Yuan Qi China 17 443 0.8× 204 0.5× 340 0.9× 214 1.8× 27 0.3× 96 1.3k
Jilian Zhang China 17 794 1.4× 333 0.8× 114 0.3× 268 2.2× 20 0.3× 42 1.2k
Cédric Archambeau United Kingdom 19 606 1.0× 234 0.5× 108 0.3× 63 0.5× 21 0.3× 49 1.1k
Mehrdad Farajtabar United States 19 368 0.6× 199 0.5× 65 0.2× 107 0.9× 16 0.2× 37 860
Michael Collins United States 15 1.3k 2.3× 391 0.9× 126 0.3× 122 1.0× 19 0.2× 27 1.7k
XuanLong Nguyen United States 20 823 1.4× 184 0.4× 151 0.4× 76 0.6× 28 0.3× 50 1.5k
Ji Ming United Kingdom 19 846 1.5× 431 1.0× 864 2.3× 152 1.3× 22 0.3× 136 1.6k
Aleksandar Ignjatović Australia 19 397 0.7× 186 0.4× 197 0.5× 227 1.9× 25 0.3× 71 1.3k
Lantao Yu United States 9 930 1.6× 664 1.5× 219 0.6× 230 1.9× 19 0.2× 27 1.6k
Ryohei Nakano Japan 14 887 1.5× 249 0.6× 200 0.5× 83 0.7× 11 0.1× 43 1.6k

Countries citing papers authored by Stephen M. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Chu. 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 Stephen M. Chu. The network helps show where Stephen M. Chu may publish in the future.

Co-authorship network of co-authors of Stephen M. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Chu. A scholar is included among the top collaborators of Stephen M. Chu 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 Stephen M. Chu. Stephen M. Chu 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.
Li, Dongsheng, et al.. (2021). NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. ACM Transactions on Knowledge Discovery from Data. 15(6). 1–20. 2 indexed citations
2.
Li, Dongsheng, Chao Chen, Tun Lu, Stephen M. Chu, & Ning Gu. (2019). Mixture Matrix Approximation for Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering. 33(6). 2640–2653. 9 indexed citations
3.
Xiao, Shuai, Junchi Yan, Xiaokang Yang, Hongyuan Zha, & Stephen M. Chu. (2017). Modeling the intensity function of point process via recurrent neural networkss. arXiv (Cornell University). 31(1). 1597–1603. 23 indexed citations
4.
Li, Dongsheng, Chao Chen, Wei Liu, et al.. (2017). Mixture-Rank Matrix Approximation for Collaborative Filtering. Neural Information Processing Systems. 30. 477–485. 14 indexed citations
5.
Liu, Xin, Junchi Yan, Shuai Xiao, et al.. (2017). On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 32 indexed citations
6.
Xiao, Shuai, Junchi Yan, Changsheng Li, et al.. (2016). On modeling and predicting individual paper citation count over time. International Joint Conference on Artificial Intelligence. 2676–2682. 44 indexed citations
7.
Li, Dongsheng, Chao Chen, Qin Lv, et al.. (2016). Low-rank matrix approximation with stability. International Conference on Machine Learning. 295–303. 24 indexed citations
8.
Yan, Junchi, Jun Wang, Hongyuan Zha, Xiaokang Yang, & Stephen M. Chu. (2015). Multi-View Point Registration via Alternating Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 13 indexed citations
9.
Yan, Junchi, Chao Zhang, Hongyuan Zha, et al.. (2015). Discrete hyper-graph matching. 1520–1528. 49 indexed citations
10.
Yan, Junchi, Minsu Cho, Hongyuan Zha, Xiaokang Yang, & Stephen M. Chu. (2015). Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(6). 1228–1242. 123 indexed citations
11.
Yan, Junchi, Hongteng Xu, Hongyuan Zha, et al.. (2015). A Matrix Decomposition Perspective to Multiple Graph Matching. 199–207. 13 indexed citations
12.
Yan, Junchi, et al.. (2013). Joint Optimization for Consistent Multiple Graph Matching. 1649–1656. 43 indexed citations
13.
Chu, Stephen M. & Brenda Molano‐Flores. (2012). Impacts of agricultural to urban land-use change on floristic quality assessment indicators in Northeastern Illinois wetlands. Urban Ecosystems. 16(2). 235–246. 12 indexed citations
14.
Chu, Stephen M. & Lidia Mangu. (2012). Improving arabic broadcast transcription using automatic topic clustering. 4449–4452. 2 indexed citations
15.
Mangu, Lidia, Hong-Kwang Jeff Kuo, Stephen M. Chu, et al.. (2011). The IBM 2011 GALE Arabic speech transcription system. 272–277. 25 indexed citations
16.
Saon, George, Hagen Soltau, Upendra V. Chaudhari, et al.. (2010). The IBM 2008 GALE Arabic speech transcription system. 4378–4381. 22 indexed citations
17.
Tang, Hao, Stephen M. Chu, Mark Hasegawa‐Johnson, & Thomas S. Huang. (2009). Emotion recognition from speech VIA boosted Gaussian mixture models. 294–297. 33 indexed citations
18.
Chu, Stephen M. & Thomas S. Huang. (2007). Audio-Visual Speech Fusion Using Coupled Hidden Markov Models. 1–2.
19.
Scanlon, Patricia, et al.. (2004). Mutual information based visual feature selection for lipreading. 2037–2040. 15 indexed citations
20.
Chu, Stephen M. & Yunxin Zhao. (1998). Robust speech recognition using discriminative stream weighting and parameter interpolation. paper 0690–0. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yuan Qi Breakdown of academic impact, for papers by Jilian Zhang Breakdown of academic impact, for papers by Cédric Archambeau Breakdown of academic impact, for papers by Mehrdad Farajtabar Breakdown of academic impact, for papers by Michael Collins Breakdown of academic impact, for papers by XuanLong Nguyen Breakdown of academic impact, for papers by Ji Ming Breakdown of academic impact, for papers by Aleksandar Ignjatović Breakdown of academic impact, for papers by Lantao Yu Breakdown of academic impact, for papers by Ryohei Nakano
Rankless by CCL
2026