World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
27425
World Ranking
2826
National Ranking
1397

Overview

James Z. Wang is affiliated with Pennsylvania State University in the United States and has contributed extensively to research in computer science and medicine. Their work spans several interrelated subfields including computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, neurology, and molecular biology.

The scientist's research covers a variety of topics with specific focus on domain adaptation and few-shot learning, advanced neural network applications, emotion and mood recognition, medical image segmentation techniques, video surveillance and tracking methods, human pose and action recognition, and glioma diagnosis and treatment.

Throughout their career, James Z. Wang has published numerous papers in notable venues. Some of the recent papers include:

  • IDseq-An open source cloud-based pipeline and analysis service for metagenomic pathogen detection and monitoring, 2020, GigaScience
  • Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion, 2023, Proceedings of the IEEE
  • Clinical utility of multigene analysis in over 25,000 patients with neuromuscular disorders, 2020, Neurology Genetics
  • IDseq - An Open Source Cloud-based Pipeline and Analysis Service for Metagenomic Pathogen Detection and Monitoring, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Attention-based CNN-LSTM for high-frequency multiple cryptocurrency trend prediction, 2023, Expert Systems with Applications

They have collaborated frequently with several co-authors, among them are Jeffrey A. Goldstein, Alison D. Gernand, John Volpi, Stephen T.C. Wong, and Xiaolei Huang.

James Z. Wang's publications have appeared predominantly in venues such as arXiv (Cornell University), Patterns, bioRxiv (Cold Spring Harbor Laboratory), Placenta, and proceedings of international scientific meetings in magnetic resonance in medicine.

In addition to journal articles, James Z. Wang has also contributed to book publications, including a book published by IntechOpen titled "Frontiers in Clinical Neurosurgery" in 2021.

Best Publications

  • Image retrieval: Ideas, influences, and trends of the new age

    Ritendra Datta;Dhiraj Joshi;Jia Li;James Z. Wang

  • SIMPLIcity: semantics-sensitive integrated matching for picture libraries

    J.Z. Wang;Jia Li;G. Wiederhold

  • Automatic Linguistic Indexing of Pictures by a statistical modeling approach

    Jia Li;J.Z. Wang

  • Studying aesthetics in photographic images using a computational approach

    Ritendra Datta;Dhiraj Joshi;Jia Li;James Z. Wang

  • Real-Time Computerized Annotation of Pictures

    Jia Li;J.Z. Wang

  • MILES: Multiple-Instance Learning via Embedded Instance Selection

    Yixin Chen;Jinbo Bi;J.Z. Wang

  • Image Categorization by Learning and Reasoning with Regions

    Yixin Chen;James Z. Wang

  • Content-based image retrieval: approaches and trends of the new age

    Ritendra Datta;Jia Li;James Z. Wang

  • A region-based fuzzy feature matching approach to content-based image retrieval

    Yixin Chen;J.Z. Wang

  • IRM: integrated region matching for image retrieval

    Jia Li;James Z. Wang;Gio Wiederhold

  • Content-based image indexing and searching using Daubechies' wavelets

    James Ze Wang;Gio Wiederhold;Oscar Firschein;Sha Xin Wei

  • Aesthetics and Emotions in Images

    D. Joshi;R. Datta;E. Fedorovskaya;Quang-Tuan Luong

  • RAPID: Rating Pictorial Aesthetics using Deep Learning

    Xin Lu;Zhe Lin;Hailin Jin;Jianchao Yang

  • CLUE: cluster-based retrieval of images by unsupervised learning

    Yixin Chen;J.Z. Wang;R. Krovetz

  • Image processing for artist identification

    C.R. Johnson;E. Hendriks;I.J. Berezhnoy;E. Brevdo

  • Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation

    Xin Lu;Zhe Lin;Xiaohui Shen;Radomir Mech

  • Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

    Jianbo Ye;Xin Lu;Zhe L. Lin;James Z. Wang

  • Support vector learning for fuzzy rule-based classification systems

    Yixin Chen;J.Z. Wang

  • Image-based captcha generation system

    James Z. Wang;Ritendra Datta;Jia Li

  • Microexpression Identification and Categorization Using a Facial Dynamics Map

    Feng Xu;Junping Zhang;James Z. Wang

Frequent Co-Authors

Jia Li
Jia Li Pennsylvania State University
Gio Wiederhold
Gio Wiederhold Stanford University
Lei Xing
Lei Xing Stanford University
C. Lee Giles
C. Lee Giles Pennsylvania State University
Michelle G. Newman
Michelle G. Newman Pennsylvania State University
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Nozha Boujemaa
Nozha Boujemaa French Institute for Research in Computer Science and Automation - INRIA
Zhe Lin
Zhe Lin Adobe Systems (United States)
Jiebo Luo
Jiebo Luo University of Rochester
Chen Li
Chen Li University of California, Irvine

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