World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9332
World Ranking
9140
National Ranking
3887

Overview

Yan-Qing Zhang is affiliated with Georgia State University in the United States. Their primary research domains encompass engineering and computer science, with specific contributions totaling 37 publications in engineering and 31 in computer science.

The subfields of study where Yan-Qing Zhang has contributed include:

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Systems Engineering

Their research topics cover a range of specialized areas such as:

  • VLSI and FPGA Design Techniques
  • Advanced Memory and Neural Computing
  • Video Coding and Compression Technologies
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices
  • Embedded Systems Design Techniques
  • Advanced Wireless Communication Technologies

Yan-Qing Zhang has contributed to various noted publication venues, including:

  • Journal of Agricultural and Food Chemistry
  • IEEE Transactions on Vehicular Technology
  • IEEE Journal of Solid-State Circuits
  • IEEE Micro
  • Communications of the ACM

Among recent papers associated with Yan-Qing Zhang's research environment or collaborations, the following are notable:

  • "A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm" (2020), IEEE Journal of Solid-State Circuits
  • "Accelerating Chip Design With Machine Learning" (2020), IEEE Micro
  • "Enantioselective Bioactivity, Toxicity, and Degradation in Vegetables and Soil of Chiral Fungicide Mandipropamid" (2021), Journal of Agricultural and Food Chemistry
  • "Selectively Desirable Rapeseed and Corn Stalks Distinctive for Low-Cost Bioethanol Production and High-Active Biosorbents" (2020), Waste and Biomass Valorization
  • "Simba" (2021), Communications of the ACM

Frequent co-authors collaborating with Yan-Qing Zhang include:

  • Brucek Khailany
  • Haoxing Ren
  • Mohammed El-Hajjar
  • Lajos Hanzo
  • Rangharajan Venkatesan

Best Publications

  • Single Valued Neutrosophic Sets

    Haibin Wang;Florentin Smarandache;Yan-Qing Zhang;Rajshekhar Sunderraman

  • SVMs Modeling for Highly Imbalanced Classification

    Yuchun Tang;Yan-Qing Zhang;N.V. Chawla;S. Krasser

  • A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

    Yunan Luo;Xinbin Zhao;Jingtian Zhou;Jinglin Yang

  • Support vector machines and Word2vec for text classification with semantic features

    Joseph Lilleberg;Yun Zhu;Yanqing Zhang

  • A genetic algorithm-based method for feature subset selection

    Feng Tan;Xuezheng Fu;Yanqing Zhang;Anu G. Bourgeois

  • Using Word2Vec to process big text data

    Long Ma;Yanqing Zhang

  • Development of Two-Stage SVM-RFE Gene Selection Strategy for Microarray Expression Data Analysis

    Yuchun Tang;Yan-Qing Zhang;Zhen Huang

  • Parallel granular neural networks for fast credit card fraud detection

    M. Syeda;Yan-Qing Zhang;Yi Pan

  • Compensatory neurofuzzy systems with fast learning algorithms

    Yan-Qing Zhang;A. Kandel

  • Granular neural networks for numerical-linguistic data fusion and knowledge discovery

    Yan-Qing Zhang;M.D. Fraser;R.A. Gagliano;A. Kandel

  • Visual Sentiment Analysis for Social Images Using Transfer Learning Approach

    Unknown

  • Support vector machines with genetic fuzzy feature transformation for biomedical data classification

    Bo Jin;Y.C. Tang;Yan-Qing Zhang

  • A New Improved K-Means Algorithm with Penalized Term

    Zejin Ding;Jian Yu;Yan-Qing Zhang

  • Stability analysis of fuzzy control systems

    A. Kandel;Y. Luo;Y. Q Zhang

  • Granular support vector machines with association rules mining for protein homology prediction

    Yuchun Tang;Bo Jin;Yan-Qing Zhang

  • Machine Learning in Bioinformatics

    Yanqing Zhang;Jagath C. Rajapakse

  • Interval Neutrosophic Logics: Theory and Applications

    Haibin Wang;Florentin Smarandache;Yanqing Zhang;Rajshekhar Sunderraman

  • Statistical fuzzy interval neural networks for currency exchange rate time series prediction

    Yan-Qing Zhang;Xuhui Wan

  • Evolutionary fuzzy neural networks for hybrid financial prediction

    Lixin Yu;Yan-Qing Zhang

  • Compensatory Genetic Fuzzy Neural Networks and Their Applications

    Yan-Qing Zhang;Abraham Kandel

  • Granular support vector machines for medical binary classification problems

    Yuchun Tang;Bo Jin;Yi Sun;Yan-Qing Zhang

Frequent Co-Authors

Abraham Kandel
Abraham Kandel University of South Florida
Xiaohua Hu
Xiaohua Hu Drexel University
Alexander Zelikovsky
Alexander Zelikovsky Georgia State University
Tsau Young Lin
Tsau Young Lin San Jose State University
Florentin Smarandache
Florentin Smarandache University of New Mexico
Irene T. Weber
Irene T. Weber Georgia State University
Angela R. Laird
Angela R. Laird Florida International University
Peter T. Fox
Peter T. Fox The University of Texas Health Science Center at San Antonio
Jessica A. Turner
Jessica A. Turner The Ohio State University
David A. Washburn
David A. Washburn Georgia State University

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