World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
16349
World Ranking
2602
National Ranking
352

Overview

Qi Wang is affiliated with Northwestern Polytechnical University in China. Their research contributions span across computer science and engineering, focusing specifically on subfields such as computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and biomedical engineering.

The scientist's work encompasses a variety of topics related to image analysis, machine learning, and multimedia processing. Key research areas include video surveillance and tracking methods, remote-sensing image classification, advanced image and video retrieval techniques, advanced neural network applications, anomaly detection techniques and applications, advanced image fusion techniques, and human pose and action recognition.

Qi Wang has authored numerous papers published in a range of reputable venues. Their recent notable publications include:

  • A Comprehensive Survey of Loss Functions in Machine Learning, 2020, Annals of Data Science
  • NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Current Advances and Future Perspectives of Additive Manufacturing for Functional Polymeric Materials and Devices, 2021, SusMat
  • ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • SSR-NET: Spatial-Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion, 2020, IEEE Transactions on Geoscience and Remote Sensing

The scientist frequently collaborates with other researchers, with regular coauthors including:

  • Junyu Gao (44 publications)
  • Xuelong Li (42 publications)
  • Qiang Li (40 publications)
  • Yuan Yuan (37 publications)
  • Mulin Chen (19 publications)

Qi Wang's research has been published extensively in several outlets, highlighting a strong presence in geoscience and multimedia fields. Frequent publication venues include:

  • arXiv (Cornell University) with 66 publications
  • IEEE Transactions on Geoscience and Remote Sensing with 64 publications
  • IEEE Geoscience and Remote Sensing Letters with 12 publications
  • IEEE Transactions on Multimedia with 10 publications
  • IEEE Transactions on Neural Networks and Learning Systems with 9 publications

Best Publications

  • A Comprehensive Survey of Loss Functions in Machine Learning

    Qi Wang;Yue Ma;Kun Zhao;Yingjie Tian

  • Scene Classification With Recurrent Attention of VHR Remote Sensing Images

    Qi Wang;Shaoteng Liu;Jocelyn Chanussot;Xuelong Li

  • Learning From Synthetic Data for Crowd Counting in the Wild

    Qi Wang;Junyu Gao;Wei Lin;Yuan Yuan

  • Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking

    Qi Wang;Jianzhe Lin;Yuan Yuan

  • GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection.

    Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li

  • GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection

    Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li

  • NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

    Qi Wang;Junyu Gao;Wei Lin;Xuelong Li

  • Optimal Clustering Framework for Hyperspectral Band Selection

    Qi Wang;Fahong Zhang;Xuelong Li

  • Detecting Coherent Groups in Crowd Scenes by Multiview Clustering

    Qi Wang;Mulin Chen;Feiping Nie;Xuelong Li

  • Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

    Qi Wang;Junyu Gao;Yuan Yuan

  • PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

    Junyu Gao;Qi Wang;Xuelong Li

  • SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion

    Xueting Zhang;Wei Huang;Qi Wang;Xuelong Li

  • An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition

    Yuan Yuan;Zhitong Xiong;Qi Wang

  • Online Anomaly Detection in Crowd Scenes via Structure Analysis

    Yuan Yuan;Jianwu Fang;Qi Wang

  • SCAR: Spatial-/channel-wise attention regression networks for crowd counting

    Junyu Gao;Qi Wang;Yuan Yuan

  • Embedding structured contour and location prior in siamesed fully convolutional networks for road detection

    Junyu Gao;Qi Wang;Yuan Yuan

  • Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification

    Qi Wang;Xiang He;Xuelong Li

  • Hyperspectral Image Classification via Multitask Joint Sparse Representation and Stepwise MRF Optimization

    Yuan Yuan;Jianzhe Lin;Qi Wang

  • Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes

    Qi Wang;Junyu Gao;Xuelong Li

  • Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis

    Yuan Yuan;Jianzhe Lin;Qi Wang

  • NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting.

    Qi Wang;Junyu Gao;Wei Lin;Xuelong Li

Frequent Co-Authors

Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Xuelong Li
Xuelong Li China Telecom (China)
Shiping Wang
Shiping Wang Chinese Academy of Sciences
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Yingjie Tian
Yingjie Tian University of Chinese Academy of Sciences
Qian Du
Qian Du Mississippi State University
Dawei Du
Dawei Du ByteDance
Longyin Wen
Longyin Wen ByteDance
Ning Wang
Ning Wang Hong Kong University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens numerous flexible study and career options. Many students consider 1 year associate degree programs online to quickly build foundational tech skills. These accelerated programs can get you job-ready in less time, making them ideal for career changers or those seeking an affordable start.

For budget-conscious learners, cheap online colleges offer opportunities to earn recognized degrees without incurring heavy student debt. It’s important to compare tuition, fees, and financial aid to find the right balance between cost and quality.

Academic challenges don’t have to be a barrier. Many online colleges that accept 2.0 gpa provide supportive pathways for students at all academic levels, opening doors to further education in computer science and related fields.

The skills gained through computer science can also lead to interdisciplinary careers. For example, those with a tech background may pursue high-paying jobs with environmental science degree by specializing in areas like environmental data analysis, sustainability technology, or green software development.

Best Scientists Citing Qi Wang

Trending Scientists