Hui Jiang

7.8k total citations · 2 hit papers
118 papers, 4.0k citations indexed

About

Hui Jiang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hui Jiang has authored 118 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Artificial Intelligence, 56 papers in Signal Processing and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hui Jiang's work include Speech Recognition and Synthesis (60 papers), Speech and Audio Processing (49 papers) and Music and Audio Processing (29 papers). Hui Jiang is often cited by papers focused on Speech Recognition and Synthesis (60 papers), Speech and Audio Processing (49 papers) and Music and Audio Processing (29 papers). Hui Jiang collaborates with scholars based in Canada, China and United States. Hui Jiang's co-authors include Ossama Abdel‐Hamid, Gerald Penn, Abdelrahman Mohamed, Dong Yu, Li Deng, Li-Rong Dai, Si Wei, Mingbin Xu, Yu Hu and Zhen-Hua Ling and has published in prestigious journals such as Construction and Building Materials, BMC Bioinformatics and Artificial Intelligence.

In The Last Decade

Hui Jiang

114 papers receiving 3.7k citations

Hit Papers

Convolutional Neural Networks for Speech Recognition 2012 2026 2016 2021 2014 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Jiang Canada 23 2.7k 1.7k 716 256 176 118 4.0k
Ossama Abdel‐Hamid Canada 12 1.8k 0.7× 1.4k 0.8× 581 0.8× 234 0.9× 171 1.0× 14 3.0k
Haşim Sak United States 25 3.4k 1.3× 2.1k 1.2× 690 1.0× 425 1.7× 210 1.2× 45 5.2k
Bhuvana Ramabhadran United States 34 4.4k 1.7× 2.7k 1.5× 938 1.3× 205 0.8× 135 0.8× 220 5.6k
Alexander Waibel United States 21 2.2k 0.8× 1.4k 0.8× 852 1.2× 205 0.8× 159 0.9× 95 3.3k
Françoise Beaufays United States 21 2.1k 0.8× 1.2k 0.7× 481 0.7× 419 1.6× 144 0.8× 65 3.5k
Mathew Magimai.-Doss Switzerland 25 2.2k 0.8× 1.9k 1.1× 727 1.0× 288 1.1× 169 1.0× 180 3.8k
Michael L. Seltzer United States 29 3.2k 1.2× 3.0k 1.7× 585 0.8× 240 0.9× 227 1.3× 99 4.4k
Faustino Gomez Switzerland 19 3.1k 1.1× 1.3k 0.8× 1.4k 1.9× 278 1.1× 185 1.1× 37 4.5k
Frank Seide China 24 3.5k 1.3× 2.1k 1.2× 765 1.1× 275 1.1× 81 0.5× 95 4.3k
Chung‐Cheng Chiu Taiwan 21 3.8k 1.4× 2.8k 1.6× 891 1.2× 161 0.6× 132 0.8× 74 5.3k

Countries citing papers authored by Hui Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Jiang. A scholar is included among the top collaborators of Hui Jiang 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 Hui Jiang. Hui Jiang 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.
Wang, Jinting, et al.. (2025). Effect analysis of 3D material randomness on seismic response of arch dams using a customizable code. Structures. 75. 108832–108832. 1 indexed citations
2.
Gao, Tao, et al.. (2025). MSDMAT-BTS: Multi-scale diffusion model and attention mechanism for brain tumor segmentation. Biomedical Signal Processing and Control. 104. 107505–107505. 3 indexed citations
3.
Jiang, Hui, et al.. (2024). Influence of the graphene oxide-coated steel fiber on the microstructure optimization of UHPC. Construction and Building Materials. 452. 138921–138921. 7 indexed citations
4.
Zhang, Lı, Qiqi Zhang, V.H. Escalona, et al.. (2024). Short‐term high‐light intensity and low temperature improve the quality and flavor of lettuce grown in plant factory. Journal of the Science of Food and Agriculture. 104(14). 9046–9055. 3 indexed citations
5.
Gao, Enting, Hui Jiang, Weifang Zhu, et al.. (2022). Automatic multi-tissue segmentation in pancreatic pathological images with selected multi-scale attention network. Computers in Biology and Medicine. 151(Pt A). 106228–106228. 9 indexed citations
6.
Jiang, Hui, Min Liu, Sheng Sun, Yuwei Wang, & Xiaobing Guo. (2022). FedSyL: Computation-Efficient Federated Synergy Learning on Heterogeneous IoT Devices. 1–10. 12 indexed citations
7.
Liu, Li, et al.. (2021). A study of regional homogeneity of resting-state Functional Magnetic Resonance Imaging in mild cognitive impairment. Behavioural Brain Research. 402. 113103–113103. 29 indexed citations
8.
Jiang, Hui, et al.. (2019). . 19 indexed citations
9.
Zhang, Shiliang, Hui Jiang, & Li-Rong Dai. (2016). Hybrid orthogonal projection and estimation (HOPE): a new framework to learn neural networks. Journal of Machine Learning Research. 17(1). 1286–1318. 9 indexed citations
10.
Liu, Dan, et al.. (2016). The USTC NELSLIP Systems for Trilingual Entity Detection and Linking Tasks at TAC KBP 2016.. Theory and applications of categories. 3 indexed citations
11.
Qian, Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, & Hui Jiang. (2016). Distraction-based neural networks for modeling documents. International Joint Conference on Artificial Intelligence. 2754–2760. 43 indexed citations
12.
Chen, Zhigang, Qian Chen, Xiaoping Chen, et al.. (2015). Revisiting Word Embedding for Contrasting Meaning. INFM-OAR (INFN Catania). 106–115. 24 indexed citations
13.
Zhou, Pan, Li-Rong Dai, & Hui Jiang. (2014). Sequence training of multiple deep neural networks for better performance and faster training speed. 5627–5631. 12 indexed citations
14.
Abdel‐Hamid, Ossama, et al.. (2014). Direct adaptation of hybrid DNN/HMM model for fast speaker adaptation in LVCSR based on speaker code. 6339–6343. 46 indexed citations
15.
Hu, Pingzhao, Hui Jiang, & Andrew Emili. (2010). Predicting protein functions by relaxation labelling protein interaction network. BMC Bioinformatics. 11(S1). S64–S64. 12 indexed citations
17.
Du, Jun, Peng Liu, Hui Jiang, Frank K. Soong, & Ren-Hua Wang. (2007). A New Minimum Divergence Approach to Discriminative Training. IV–677. 2 indexed citations
18.
Jiang, Hui, Keikichi Hirose, & Qiang Huo. (2002). Improving Viterbi Bayesian predictive classification via sequential Bayesian learning in robust speech recognition. The HKU Scholars Hub (University of Hong Kong). 1. 77–80. 1 indexed citations
19.
Jiang, Hui & Li Deng. (2001). A Bayesian Approach to Speaker Verification. IEEE Transactions on Speech and Audio Processing. 1 indexed citations
20.
Jiang, Hui, Keikichi Hirose, & Qiang Huo. (1997). Applying Viterbi Bayesian Predictive Classification to Robust Recognition of Continuous Speech. 1997(1). 35–36. 1 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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