Yi Hu

5.3k total citations · 2 hit papers
61 papers, 3.9k citations indexed

About

Yi Hu is a scholar working on Signal Processing, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Yi Hu has authored 61 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Signal Processing, 18 papers in Computational Mechanics and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Yi Hu's work include Speech and Audio Processing (21 papers), Advanced Adaptive Filtering Techniques (16 papers) and Hearing Loss and Rehabilitation (12 papers). Yi Hu is often cited by papers focused on Speech and Audio Processing (21 papers), Advanced Adaptive Filtering Techniques (16 papers) and Hearing Loss and Rehabilitation (12 papers). Yi Hu collaborates with scholars based in United States, China and United Kingdom. Yi Hu's co-authors include Philipos C. Loizou, P.C. Loizou, MA Jian-fen, Yang Lu, Gibak Kim, J.V. McCanny, Ning Li, Ben Chen, Dehong Gao and Hao Wang and has published in prestigious journals such as Applied Energy, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Yi Hu

57 papers receiving 3.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Evaluation of Objective Quality Measures for Speech Enhancement

2007 1.3k citations Yi Hu, Philipos C. Loizou profile →
Subjective comparison and evaluation of speech enhancement algorithms

2006 513 citations Yi Hu, Philipos C. Loizou profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi Hu United States	20	3.4k	2.0k	1.3k	940	467	61	3.9k
Rainer Martin Germany	28	3.9k 1.1×	2.7k 1.4×	1.1k 0.8×	1.0k 1.1×	446 1.0×	178	4.3k
Cees Taal Netherlands	15	2.8k 0.8×	1.3k 0.6×	1.1k 0.9×	1.1k 1.2×	342 0.7×	28	3.0k
Peter Vary Germany	32	3.5k 1.0×	2.3k 1.2×	980 0.8×	943 1.0×	497 1.1×	302	4.6k
Tomohiro Nakatani Japan	40	5.5k 1.6×	2.2k 1.1×	743 0.6×	3.1k 3.3×	355 0.8×	330	6.2k
Takuya Yoshioka Japan	33	4.7k 1.4×	1.4k 0.7×	542 0.4×	3.3k 3.5×	234 0.5×	150	5.3k
Li-Rong Dai China	34	4.3k 1.3×	1.1k 0.5×	576 0.5×	3.8k 4.1×	151 0.3×	323	5.9k
Marc Delcroix Japan	33	3.5k 1.0×	1.0k 0.5×	376 0.3×	2.6k 2.7×	170 0.4×	206	3.9k
Arun Narayanan United States	19	2.1k 0.6×	640 0.3×	361 0.3×	1.6k 1.7×	74 0.2×	69	2.4k
Anssi Klapuri Finland	35	3.9k 1.1×	248 0.1×	674 0.5×	513 0.5×	70 0.1×	85	4.2k

Countries citing papers authored by Yi Hu

Since Specialization

Citations

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

Fields of papers citing papers by Yi Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Hu. A scholar is included among the top collaborators of Yi Hu 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 Yi Hu. Yi Hu 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:

20 of 20 papers shown

Kim, Hyeonjin, et al.. (2025). ViT4LPA: A Vision Transformer for advanced smart meter Load Profile Analysis. Applied Energy. 382. 125243–125243. 1 indexed citations

Wang, Chao, et al.. (2024). Electrochemical Degradation of Textile Effluent Using PbO2 Electrode in Tube Electrolyzer. Journal of Electrochemical Science and Technology. 15(1). 190–197. 1 indexed citations

Zhang, Xiyang, et al.. (2024). Algorithm for Workpiece Recognition Under Complex Conditions Based on Enhanced YOLOv8. 181–187. 1 indexed citations

Hu, Yi, et al.. (2024). BERT-PIN: A BERT-Based Framework for Recovering Missing Data Segments in Time-Series Load Profiles. IEEE Transactions on Industrial Informatics. 20(10). 12241–12251. 8 indexed citations

Li, Xuefeng, et al.. (2024). Precursor of privacy leakage detection for individual user. Computers & Security. 142. 103879–103879. 1 indexed citations

Hu, Yi, et al.. (2024). MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations. 1–1. 2 indexed citations

Hu, Yi, Lifei Song, Zuyuan Liu, & Jianxi Yao. (2021). Identification of Ship Hydrodynamic Derivatives Based on LS-SVM with Wavelet Threshold Denoising. Journal of Marine Science and Engineering. 9(12). 1356–1356. 19 indexed citations

Hu, Yi. (2014). Vibration Fault Diagnosis for Hydroelectric Generating Units Using the Multi-class Relevance Vector Machine. Proceedings of the CSEE. 1 indexed citations

Xiao, Jin, et al.. (2014). A Transfer Learning Based Classifier Ensemble Model for Customer Credit Scoring. 64–68. 14 indexed citations

10.

Chen, Fei & Yi Hu. (2014). Objective quality evaluation of noise-suppressed speech: effects of temporal envelope and fine-structure cues. 2055–2058. 2 indexed citations

11.

Parsa, Vijay, et al.. (2009). On the use of Bayesian modeling for predicting noise reduction performance. 3873–3876. 3 indexed citations

12.

Kim, Gibak, Yang Lu, Yi Hu, & Philipos C. Loizou. (2009). An algorithm that improves speech intelligibility in noise for normal-hearing listeners. The Journal of the Acoustical Society of America. 126(3). 1486–1494. 251 indexed citations

13.

Hu, Yi, et al.. (2008). Place Modeling and Recognition using Distribution of Scale Invariant Features. Journal of the Korea Society of Computer and Information. 13(4). 51–58.

14.

Hu, Yi & P.C. Loizou. (2006). Subjective Comparison of Speech Enhancement Algorithms. 1. I–153. 164 indexed citations

15.

Hu, Yi, et al.. (2003). Image Matching Process on Images Taken by a Cellular Phone. The Journal of The Institute of Image Information and Television Engineers. 57(9). 1177–1186.

16.

Hu, Yi & P.C. Loizou. (2003). A generalized subspace approach for enhancing speech corrupted by colored noise. IEEE Transactions on Speech and Audio Processing. 11(4). 334–341. 280 indexed citations

17.

McCanny, J.V., et al.. (2002). Hierarchical VHDL libraries for DSP ASIC design. Research Portal (Queen's University Belfast). 1. 675–678. 15 indexed citations

18.

McCanny, J.V., et al.. (2002). Synthesisable FFT cores. 31. 351–363. 2 indexed citations

19.

Hu, Yi & Philipos C. Loizou. (2002). A subspace approach for enhancing speech corrupted by colored noise. IEEE International Conference on Acoustics Speech and Signal Processing. I–573. 42 indexed citations

20.

Wu, Bing‐Fei, et al.. (1999). Global minimum of scalar quantization errors by discrete wavelet transforms in image compression. 23(2). 223–234. 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.

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