2026 Xinggang Wang: 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	66	2253	2186	311	308	202	33131

Xinggang Wang 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 Xinggang Wang sits on this spectrum.

32 publications 991+

This scientist: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Xinggang Wang 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 Xinggang Wang sits on this spectrum.

30 D-Index 131+

This scientist: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Xinggang Wang is affiliated with Huazhong University of Science and Technology in China. Their research centers on computer science and engineering, with a significant focus on computer vision and pattern recognition.

Their publication record includes papers in prominent journals and conferences, covering a span from 2020 to 2024. Notable recent works include:

Deep High-Resolution Representation Learning for Visual Recognition, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label, 2020, bioRxiv (Cold Spring Harbor Laboratory)
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT, 2020, IEEE Transactions on Medical Imaging
CCNet: Criss-Cross Attention for Semantic Segmentation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model, 2024, arXiv (Cornell University)

Their research interests encompass several main topics and subfields, including:

Computer Vision and Pattern Recognition
Artificial Intelligence
Aerospace Engineering
Biomedical Engineering
Radiology, Nuclear Medicine and Imaging

Key research themes in their work involve:

Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Video Surveillance and Tracking Methods
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Advanced Vision and Imaging

Wang frequently collaborates with a group of coauthors, including:

Wenyu Liu
Tianheng Cheng
Jiemin Fang
Shaoyu Chen
Qian Zhang

Their research outputs appear predominantly in venues such as:

arXiv (Cornell University)
SSRN Electronic Journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image and Vision Computing
International Journal of Computer Vision

Their work contributes broadly to advancing methodologies in neural networks and image processing technologies, with applications spanning medical imaging and visual recognition tasks.

Best Publications

Deep High-Resolution Representation Learning for Visual Recognition

Jingdong Wang;Ke Sun;Tianheng Cheng;Borui Jiang

4420
Citations
CCNet: Criss-Cross Attention for Semantic Segmentation

Zilong Huang;Xinggang Wang;Lichao Huang;Chang Huang

2763
Citations
ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Unknown

2309
Citations
FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking

Yifu Zhang;Chunyu Wang;Xinggang Wang;Wenjun Zeng

1543
Citations
CCNet: Criss-Cross Attention for Semantic Segmentation

Zilong Huang;Xinggang Wang;Yunchao Wei;Lichao Huang

1328
Citations
Mask Scoring R-CNN

Zhaojin Huang;Lichao Huang;Yongchao Gong;Chang Huang

1036
Citations
TextBoxes: a fast text detector with a single deep neural network

Minghui Liao;Baoguang Shi;Xiang Bai;Xinggang Wang

986
Citations
ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

Baoguang Shi;Mingkun Yang;Xinggang Wang;Pengyuan Lyu

876
Citations
High-Resolution Representations for Labeling Pixels and Regions

Ke Sun;Yang Zhao;Borui Jiang;Tianheng Cheng

750
Citations
Robust Scene Text Recognition with Automatic Rectification

Baoguang Shi;Xinggang Wang;Pengyuan Lyu;Cong Yao

729
Citations
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection

Wei Shen;Xinggang Wang;Yan Wang;Xiang Bai

615
Citations
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

Unknown

602
Citations
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

Xinggang Wang;Xianbo Deng;Qing Fu;Qiang Zhou

600
Citations
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

Zilong Huang;Xinggang Wang;Jiasi Wang;Wenyu Liu

590
Citations
YOLO-World: Real-Time Open-Vocabulary Object Detection

Unknown

540
Citations
YOLOP: You Only Look Once for Panoptic Driving Perception

Unknown

511
Citations
Multiple Instance Detection Network with Online Instance Classifier Refinement

Peng Tang;Xinggang Wang;Xiang Bai;Wenyu Liu

508
Citations
Revisiting multiple instance neural networks

Xinggang Wang;Yongluan Yan;Peng Tang;Xiang Bai

479
Citations
Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification

Cheng Wang;Qian Zhang;Chang Huang;Wenyu Liu

447
Citations
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Peng Tang;Xinggang Wang;Song Bai;Wei Shen

404
Citations
Unsupervised Domain Adaptive Re-Identification: Theory and Practice

Liangchen Song;Cheng Wang;Lefei Zhang;Bo Du

374
Citations
Traffic sign detection and recognition using fully convolutional network guided proposals

Yingying Zhu;Chengquan Zhang;Duoyou Zhou;Xinggang Wang

243
Citations
Automated defect inspection of LED chip using deep convolutional neural network

Hui Lin;Bin Li;Xinggang Wang;Yufeng Shu

235
Citations
Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning

Xinggang Wang;Wei Yang;Jeffrey Weinreb;Juan Han

206
Citations

Frequent Co-Authors

Wenyu Liu Huazhong University of Science and Technology

Xiang Bai Huazhong University of Science and Technology

Chang Huang Horizon Robotics Inc.

Cong Yao Alibaba Group (China)

Zhuowen Tu University of California, San Diego

Song Bai ByteDance

Jingdong Wang Baidu (China)

Longin Jan Latecki Temple University

Wenjun Zeng Microsoft (United States)

Wei Shen Johns Hopkins University

External Links

Personal website of Xinggang Wang Google Scholar page

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