Bin Yu

10.3k total citations · 2 hit papers
157 papers, 6.8k citations indexed

About

Bin Yu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Bin Yu has authored 157 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 24 papers in Computer Vision and Pattern Recognition and 18 papers in Artificial Intelligence. Recurrent topics in Bin Yu's work include Machine Learning in Bioinformatics (50 papers), RNA and protein synthesis mechanisms (26 papers) and Genomics and Phylogenetic Studies (18 papers). Bin Yu is often cited by papers focused on Machine Learning in Bioinformatics (50 papers), RNA and protein synthesis mechanisms (26 papers) and Genomics and Phylogenetic Studies (18 papers). Bin Yu collaborates with scholars based in China, United States and Saudi Arabia. Bin Yu's co-authors include Martin Vetterli, Shih-Fu Chang, Qin Ma, Peter Bühlmann, Peng Zhao, Cheng Chen, Qingmei Zhang, Cheng Chen, Minghui Wang and Zhaomin Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Bin Yu

150 papers receiving 6.4k 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.

Adaptive wavelet thresholding for image denoising and compression

2000 2.1k citations Bin Yu, Martin Vetterli et al. profile →
Analyzing bagging

2002 371 citations Bin Yu et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bin Yu	2.2k	2.2k	1.2k	976	590	157	6.8k
Olivier Bousquet	3.1k 1.4×	650 0.3×	485 0.4×	3.6k 3.7×	406 0.7×	139	8.4k
Edward R. Dougherty	2.3k 1.0×	7.4k 3.4×	420 0.4×	2.7k 2.7×	1.5k 2.5×	489	13.6k
Shichao Zhang	3.3k 1.5×	574 0.3×	611 0.5×	4.7k 4.8×	706 1.2×	242	9.3k
Massimiliano Pontil	3.7k 1.6×	1.2k 0.6×	386 0.3×	4.8k 5.0×	550 0.9×	139	10.7k
Chen Ding	2.4k 1.1×	1.7k 0.8×	535 0.5×	3.4k 3.4×	557 0.9×	125	9.0k
Andrew K. C. Wong	2.7k 1.2×	956 0.4×	855 0.7×	2.9k 2.9×	569 1.0×	161	7.8k
Michel Verleysen	2.5k 1.1×	594 0.3×	437 0.4×	4.1k 4.2×	413 0.7×	287	8.7k
Mika Sirén	2.8k 1.2×	578 0.3×	576 0.5×	2.4k 2.4×	211 0.4×	17	5.9k
Alessandro Verri	3.5k 1.6×	396 0.2×	655 0.6×	1.0k 1.0×	244 0.4×	138	6.0k
Francis Bach	3.0k 1.4×	427 0.2×	500 0.4×	3.3k 3.4×	392 0.7×	99	7.0k

Countries citing papers authored by Bin Yu

Since Specialization

Citations

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

Fields of papers citing papers by Bin Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Yu. A scholar is included among the top collaborators of Bin Yu 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 Bin Yu. Bin Yu 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

Wang, Jianxin, Yongxin Zhu, Yushuang Liu, & Bin Yu. (2025). DTF-diffusion: A 3D equivariant diffusion generation model based on ligand-target information fusion. Computational Biology and Chemistry. 117. 108392–108392. 2 indexed citations

Wang, Xinyue, et al.. (2025). Graph convolutional network based on self-attention variational autoencoder and capsule contrastive learning for aspect-based sentiment analysis. Expert Systems with Applications. 279. 127172–127172. 2 indexed citations

Wang, Hua, et al.. (2024). Charging facility planning and scheduling problems for battery electric bus systems: A comprehensive review. Transportation Research Part E Logistics and Transportation Review. 183. 103463–103463. 32 indexed citations

Yan, Feng, et al.. (2024). Dynamic weighted knowledge distillation for brain tumor segmentation. Pattern Recognition. 155. 110731–110731. 10 indexed citations

Lian, Haojie, et al.. (2024). A weighted integration method based on graph representation learning for drug repositioning. Applied Soft Computing. 161. 111763–111763. 3 indexed citations

Xu, Fei, et al.. (2024). ECA-PHV: Predicting human-virus protein-protein interactions through an interpretable model of effective channel attention mechanism. Chemometrics and Intelligent Laboratory Systems. 247. 105103–105103. 5 indexed citations

Lu, Yan, et al.. (2024). AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning. Biomedical Signal Processing and Control. 90. 105909–105909. 8 indexed citations

Wang, Yifei, et al.. (2024). ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks. Computers in Biology and Medicine. 170. 107944–107944. 10 indexed citations

Wang, Yifei, Xue Wang, Cheng Chen, et al.. (2023). RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network. Pattern Recognition. 141. 109626–109626. 21 indexed citations

10.

Wang, Yifei, et al.. (2023). DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network. Knowledge-Based Systems. 285. 111354–111354. 11 indexed citations

11.

Zheng, Zhouzhou, et al.. (2021). HLU²-Net: A Residual U-Structure Embedded U-Net With Hybrid Loss for Tire Defect Inspection. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 123 indexed citations

12.

Yu, Bin, et al.. (2021). Prediction of protein–protein interactions based on elastic net and deep forest. Expert Systems with Applications. 176. 114876–114876. 59 indexed citations

13.

Zheng, Zhouzhou, Sen Zhang, Bin Yu, Qingdang Li, & Yan Zhang. (2020). Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation. IEEE Access. 8. 112674–112687. 35 indexed citations

14.

Wang, Yu, Siqi Wu, & Bin Yu. (2020). Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning. Journal of Machine Learning Research. 21(63). 1–52. 9 indexed citations

15.

Raskutti, Garvesh, Martin J. Wainwright, & Bin Yu. (2010). Restricted Eigenvalue Properties for Correlated Gaussian Designs. Journal of Machine Learning Research. 11(78). 2241–2259. 189 indexed citations

16.

Yu, Bin. (2010). Research on road tunnel fire detection technologies. Fire Science and Technology. 1 indexed citations

17.

Yu, Bin. (2007). Main control factors of hydrocarbon accumulation of the fold-thrust zone in the southern Junggar foreland basin. Journal of Daqing Petroleum Institute. 2 indexed citations

18.

Yu, Bin. (2006). Analyzing and Modeling of Operational Activities. Fire Control and Command Control.

19.

Yu, Bin. (2005). Research and Improvement of Decision Tree’s Prune Algorithm. Jisuanji gongcheng. 4 indexed citations

20.

Yu, Bin, et al.. (1997). Bridging Compression to Wavelet Thresholding as a Denoising Method. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 568–573. 14 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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