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, Zhaomin Yu and Minghui Wang 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

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 et al. profile →
Analyzing bagging

2002 371 citations Bin Yu et al. profile →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	DTF-diffusion: A 3D equivariant diffusion generation model based on ligand-target information fusion 2025 ·Computational Biology and Chemistry ·Jianxin Wang, Yongxin Zhu, Yushuang Liu, Bin Yu	2
2	Graph convolutional network based on self-attention variational autoencoder and capsule contrastive learning for aspect-based sentiment analysis 2025 ·Expert Systems with Applications ·Xinyue Wang, (unknown), (unknown), Haiyan Wang, Bin Yu	2
3	A weighted integration method based on graph representation learning for drug repositioning 2024 ·Applied Soft Computing ·Haojie Lian, (unknown), Chao Yu, (unknown), (unknown), Bin Yu	3
4	ECA-PHV: Predicting human-virus protein-protein interactions through an interpretable model of effective channel attention mechanism 2024 ·Chemometrics and Intelligent Laboratory Systems ·(unknown), (unknown), (unknown), Fei Xu, Hongyan Zhou, Bin Yu	5
5	AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning 2024 ·Biomedical Signal Processing and Control ·Yan Lu, Minghui Wang, Hongyan Zhou, (unknown), Bin Yu	8
6	ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks 2024 ·Computers in Biology and Medicine ·(unknown), Yifei Wang, (unknown), (unknown), Xu Yu, Bin Yu	10
7	Charging facility planning and scheduling problems for battery electric bus systems: A comprehensive review 2024 ·Transportation Research Part E Logistics and Transportation Review ·(unknown), Hua Wang, Yun Wang, Bin Yu, (unknown)	32
8	Dynamic weighted knowledge distillation for brain tumor segmentation 2024 ·Pattern Recognition ·(unknown), (unknown), Feng Yan, (unknown), (unknown), Bin Yu	10
9	RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network 2023 ·Pattern Recognition ·Yifei Wang, Xue Wang, Cheng Chen, Hongli Gao, Adil Salhi, Xin Gao, Bin Yu	21
10	DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network 2023 ·Knowledge-Based Systems ·(unknown), Yifei Wang, (unknown), (unknown), Adil Salhi, Bin Yu	11
11	A Comparative Study of Supervised Classification Methods for Investigating Landslide Evolution in the Mianyuan River Basin, China 2023 ·Journal of Earth Science ·(unknown), Weile Li, Runqiu Huang, Qiang Xu, Bin Yu, Gang Liu	20
12	HLU²-Net: A Residual U-Structure Embedded U-Net With Hybrid Loss for Tire Defect Inspection 2021 ·IEEE Transactions on Instrumentation and Measurement ·Zhouzhou Zheng, (unknown), (unknown), Bin Yu, Yan Zhang	123
13	Prediction of protein–protein interactions based on elastic net and deep forest 2021 ·Expert Systems with Applications ·Bin Yu, Cheng Chen, (unknown), Zhaomin Yu, Anjun Ma, Bingqiang Liu	59
14	Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation 2020 ·IEEE Access ·Zhouzhou Zheng, Sen Zhang, Bin Yu, Qingdang Li, Yan Zhang	35
15	Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning 2020 ·Journal of Machine Learning Research ·Yu Wang, Siqi Wu, Bin Yu	9
16	A Critique of Econometrics 2019 ·World Review of Political Economy ·Bin Yu	2
17	A Rule-Based Segmenting and Matching Method for Fuzzy Chinese Addresses 2011 ·Geography and Geo-Information Science ·Bin Yu	8
18	Restricted Eigenvalue Properties for Correlated Gaussian Designs 2010 ·Journal of Machine Learning Research ·Garvesh Raskutti, Martin J. Wainwright, Bin Yu	189
19	Main control factors of hydrocarbon accumulation of the fold-thrust zone in the southern Junggar foreland basin 2007 ·Journal of Daqing Petroleum Institute ·Bin Yu	2
20	Analyzing and Modeling of Operational Activities 2006 ·Fire Control and Command Control ·Bin Yu	0

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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