2026 Yuanqing Lin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	35	11463	11137	1422	1415	65	8525

Yuanqing Lin publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yuanqing Lin sits on this spectrum.

32 publications 991+

This scientist: 65 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yuanqing Lin D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yuanqing Lin sits on this spectrum.

30 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Yuanqing Lin is affiliated with Aibee Inc. in China and conducts research primarily in the fields of Engineering and Computer Science. Their work spans various subfields, with a focus on Civil and Structural Engineering, Geology, Mechanical Engineering, Ecology, and Molecular Medicine.

The scientist has contributed to several research topics, including:

Infrastructure Maintenance and Monitoring
3D Surveying and Cultural Heritage
Tree Root and Stability Studies
Bacteriophages and Microbial Interactions
Antibiotic Resistance in Bacteria
Vibrio Bacteria Research Studies
Wind and Air Flow Studies

Yuanqing Lin's recent publications cover a range of interdisciplinary subjects. Notable papers include:

"Automated structural design of shear wall residential buildings using generative adversarial networks," 2021, published in Automation in Construction
"Recent Progress in Phage Therapy to Modulate Multidrug-Resistant Acinetobacter baumannii, including in Human and Poultry," 2022, published in Antibiotics
"Intelligent Generative Design for Shear Wall Cross-Sectional Size Using Rule-Embedded Generative Adversarial Network," 2023, published in Journal of Structural Engineering
"Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters," 2022, published in arXiv (Cornell University)
"Comparison of seismic performance between typical structural steel buildings designed following the Chinese and United States codes," 2021, published in Advances in Structural Engineering

The research collaborations of Yuanqing Lin include repeated partnerships with several coauthors, specifically:

Wenjie Liao
Xinzheng Lu
Yuli Huang
Zhe Zheng
Yan Zhang

Frequent publication venues for Yuanqing Lin include Automation in Construction, Antibiotics, Journal of Structural Engineering, Advances in Structural Engineering, and arXiv (Cornell University). These venues reflect the multidisciplinary nature of their research output, ranging from structural engineering to microbiology and machine learning applications in engineering.

Best Publications

Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers

Fan Yang;Wongun Choi;Yuanqing Lin

671
Citations
The ApolloScape Dataset for Autonomous Driving

Xinyu Huang;Xinjing Cheng;Qichuan Geng;Binbin Cao

607
Citations
Deep Metric Learning with Angular Loss

Jian Wang;Feng Zhou;Shilei Wen;Xiao Liu

553
Citations
Large-scale image classification: Fast feature extraction and SVM training

Yuanqing Lin;Fengjun Lv;Shenghuo Zhu;Ming Yang

535
Citations
Regionlets for Generic Object Detection

Xiaoyu Wang;Ming Yang;Shenghuo Zhu;Yuanqing Lin

515
Citations
Regionlets for Generic Object Detection

Xiaoyu Wang;Ming Yang;Shenghuo Zhu;Yuanqing Lin

505
Citations
Data-driven 3D Voxel Patterns for object category recognition

Yu Xiang;Wongun Choi;Yuanqing Lin;Silvio Savarese

390
Citations
Multiplicative Updates for Nonnegative Quadratic Programming

Fei Sha;Yuanqing Lin;Lawrence K. Saul;Daniel D. Lee

375
Citations
Kernel Pooling for Convolutional Neural Networks

Yin Cui;Feng Zhou;Jiang Wang;Xiao Liu

347
Citations
Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection

Yu Xiang;Wongun Choi;Yuanqing Lin;Silvio Savarese

332
Citations
Learning image representations from the pixel level via hierarchical sparse coding

Kai Yu;Yuanqing Lin;John Lafferty

293
Citations
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop

Yin Cui;Feng Zhou;Yuanqing Lin;Serge Belongie

259
Citations
Object-Centric Spatial Pooling for Image Classification

Olga Russakovsky;Yuanqing Lin;Kai Yu;Li Fei-Fei

248
Citations
Embedding Label Structures for Fine-Grained Feature Representation

Xiaofan Zhang;Feng Zhou;Yuanqing Lin;Shaoting Zhang

231
Citations
Hyper-class augmented and regularized deep learning for fine-grained image classification

Saining Xie;Tianbao Yang;Xiaoyu Wang;Yuanqing Lin

221
Citations
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels

Feng Zhou;Yuanqing Lin

181
Citations
Fine-grained visual categorization via multi-stage metric learning

Qi Qian;Rong Jin;Shenghuo Zhu;Yuanqing Lin

176
Citations
Fully Convolutional Attention Networks for Fine-Grained Recognition

Xiao Liu;Tian Xia;Jiang Wang;Yi Yang

160
Citations
Semantic-Aware Co-Indexing for Image Retrieval

Shiliang Zhang;Ming Yang;Xiaoyu Wang;Yuanqing Lin

152
Citations
Dense Object Reconstruction with Semantic Priors

Sid Yingze Bao;Manmohan Chandraker;Yuanqing Lin;Silvio Savarese

152
Citations

Frequent Co-Authors

Feng Zhou University of Michigan–Ann Arbor

Shenghuo Zhu Aibee

Xiao Liu Baidu (China)

Silvio Savarese Stanford University

Britton Chance University of Pennsylvania

Kai Yu Horizon Robotics Inc.

Qi Tian Huawei Technologies (China)

Wen Shilei Baidu (China)

Peng Wang Baidu (China)

Ruigang Yang University of Kentucky

External Links

Google Scholar page

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