Zhongfu Ye

2.4k total citations
135 papers, 1.7k citations indexed

About

Zhongfu Ye is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Zhongfu Ye has authored 135 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Signal Processing, 32 papers in Computer Vision and Pattern Recognition and 29 papers in Computational Mechanics. Recurrent topics in Zhongfu Ye's work include Speech and Audio Processing (59 papers), Direction-of-Arrival Estimation Techniques (45 papers) and Advanced Adaptive Filtering Techniques (28 papers). Zhongfu Ye is often cited by papers focused on Speech and Audio Processing (59 papers), Direction-of-Arrival Estimation Techniques (45 papers) and Advanced Adaptive Filtering Techniques (28 papers). Zhongfu Ye collaborates with scholars based in China, Pakistan and Bangladesh. Zhongfu Ye's co-authors include Chao Liu, Xu Xu, Jisheng Dai, Xiaopei Wu, Xu Xu, Huichao Yang, Yufeng Zhang, Chong Wang, Yong Zhang and Yufeng Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Zhongfu Ye

124 papers receiving 1.6k citations

Peers

Zhongfu Ye
Harvey F. Silverman United States
Murat Torlak United States
Yili Xia China
M.H. Er Singapore
Sheng Tan United States
Zhongfu Ye
Citations per year, relative to Zhongfu Ye Zhongfu Ye (= 1×) peers Zhongfu Ye

Countries citing papers authored by Zhongfu Ye

Since Specialization
Citations

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

Fields of papers citing papers by Zhongfu Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongfu Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongfu Ye. A scholar is included among the top collaborators of Zhongfu Ye 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 Zhongfu Ye. Zhongfu Ye 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.
Hossain, Md. Alamgir, et al.. (2025). GAVA: Spatial awareness in image captioning with geometric-aware visual attention. Digital Signal Processing. 167. 105435–105435.
2.
Ye, Zhongfu, et al.. (2024). Attribute-Driven Filtering: A new attributes predicting approach for fine-grained image captioning. Engineering Applications of Artificial Intelligence. 137. 109134–109134. 8 indexed citations
4.
Ye, Zhongfu, et al.. (2024). Decoupling-style monaural speech enhancement with a triple-branch cross-domain fusion network. Applied Acoustics. 217. 109839–109839. 2 indexed citations
5.
Ye, Zhongfu, et al.. (2024). An Attention-Based Denoising Neural Network for mmWave RIS-Assisted SIMO Channel Estimation. IEEE Wireless Communications Letters. 13(7). 1933–1937. 1 indexed citations
6.
Ye, Zhongfu, et al.. (2024). MA-Net: Resource-efficient multi-attentional network for end-to-end speech enhancement. Neurocomputing. 619. 129150–129150.
8.
Ye, Zhongfu, et al.. (2024). GVA: guided visual attention approach for automatic image caption generation. Multimedia Systems. 30(1). 16 indexed citations
9.
Ye, Zhongfu, et al.. (2023). Compact deep neural networks for real-time speech enhancement on resource-limited devices. Speech Communication. 156. 103008–103008. 17 indexed citations
10.
Chen, Wenzhuo, et al.. (2023). A novel target decoupling framework based on waveform-spectrum fusion network for monaural speech enhancement. Digital Signal Processing. 141. 104150–104150. 6 indexed citations
11.
Ye, Zhongfu, et al.. (2023). QISampling: An Effective Sampling Strategy for Event-Based Sign Language Recognition. IEEE Signal Processing Letters. 30. 768–772. 6 indexed citations
12.
Ye, Zhongfu, et al.. (2022). NumCap: A Number-controlled Multi-caption Image Captioning Network. ACM Transactions on Multimedia Computing Communications and Applications. 19(4). 1–24. 15 indexed citations
13.
Ji, Chen, et al.. (2022). Sparse Channel Estimation With Surface Clustering for IRS-Assisted OFDM Systems. IEEE Transactions on Communications. 71(2). 1083–1095. 14 indexed citations
14.
Ye, Zhongfu, et al.. (2022). PFRNet: Dual-Branch Progressive Fusion Rectification Network for Monaural Speech Enhancement. IEEE Signal Processing Letters. 29. 2358–2362. 17 indexed citations
16.
Ye, Zhongfu, et al.. (2019). First Order Statistic Based Fast Blind Calibration of Time Skews for Time-Interleaved ADCs. IEEE Transactions on Circuits & Systems II Express Briefs. 67(1). 162–166. 33 indexed citations
17.
18.
Huang, Lei, Bo Zhang, & Zhongfu Ye. (2015). Robust adaptive beamforming using a new projection approach. 1181–1185. 11 indexed citations
19.
Dai, Jisheng & Zhongfu Ye. (2009). DOA Estimation for Uniform Linear Array in the Presence of Unknown Mutual Coupling. JUSTC. 39(11). 1152–1157. 1 indexed citations
20.
Wu, Xiaopei & Zhongfu Ye. (2005). Online Infomax Algorithm and its Application to Remove EEG Artifacts. PubMed. 2005. 4203–4207. 3 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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