World's Best Scientists 2026 revealed!
Nianyin Zeng

Nianyin Zeng

D-Index & Metrics

Computer Science

D-Index
50
Citations
13427
World Ranking
5515
National Ranking
737

Overview

Nianyin Zeng is affiliated with Xiamen University in China and has contributed extensively to the fields of Computer Science and Engineering. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, and Control and Systems Engineering. The volume of published work reflects a focus on both theoretical and applied aspects within these disciplines.

The scientist's research topics include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Industrial Vision Systems and Defect Detection
  • Advanced Neural Network Applications
  • EEG and Brain-Computer Interfaces
  • COVID-19 diagnosis using AI
  • Anomaly Detection Techniques and Applications

Notable published papers by Nianyin Zeng include:

  • "A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection," 2022, IEEE Transactions on Instrumentation and Measurement
  • "A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm," 2020, IEEE Transactions on Cybernetics

In addition to their own work, frequent co-authors have been:

  • Peishu Wu
  • Han Li
  • Zidong Wang
  • Fuad E. Alsaadi
  • Baoping Xiong

The primary venues where this scientist publishes include:

  • Neurocomputing
  • IEEE Transactions on Instrumentation and Measurement
  • Computers in Biology and Medicine
  • Expert Systems with Applications
  • IEEE Sensors Journal

Best Publications

  • A survey of deep neural network architectures and their applications

    Weibo Liu;Zidong Wang;Xiaohui Liu;Nianyin Zeng

  • Identification of rice diseases using deep convolutional neural networks

    Yang Lu;Yang Lu;Shujuan Yi;Nianyin Zeng;Yurong Liu;Yurong Liu

  • A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection

    Unknown

  • Facial expression recognition via learning deep sparse autoencoders

    Nianyin Zeng;Hong Zhang;Baoye Song;Weibo Liu

  • A review on transfer learning in EEG signal analysis

    Zitong Wan;Zitong Wan;Rui Yang;Mengjie Huang;Nianyin Zeng

  • A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer

    Weibo Liu;Zidong Wang;Yuan Yuan;Nianyin Zeng

  • A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer’s disease

    Nianyin Zeng;Hong Qiu;Zidong Wang;Zidong Wang;Weibo Liu

  • A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm.

    Nianyin Zeng;Zidong Wang;Weibo Liu;Hong Zhang

  • FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public

    Unknown

  • Position-Transitional Particle Swarm Optimization-incorporated Latent Factor Analysis

    Xin Luo;Ye Yuan;Sili Chen;Nianyin Zeng

  • Generative Adversarial Networks and Its Applications in Biomedical Informatics.

    Lan Lan;Lei You;Zeyang Zhang;Zhiwei Fan

  • A switching delayed PSO optimized extreme learning machine for short-term load forecasting

    Nianyin Zeng;Hong Zhang;Weibo Liu;Jinling Liang;Jinling Liang

  • A Fast Fractal Based Compression for MRI Images

    Shuai Liu;Weiling Bai;Nianyin Zeng;Shuihua Wang

  • AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion

    Unknown

  • Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip

    Nianyin Zeng;Zidong Wang;Zidong Wang;Hong Zhang;Weibo Liu

  • An Improved Particle Filter With a Novel Hybrid Proposal Distribution for Quantitative Analysis of Gold Immunochromatographic Strips

    Nianyin Zeng;Zidong Wang;Hong Zhang;Kee-Eung Kim

  • Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach

    Nianyin Zeng;Zidong Wang;Bachar Zineddin;Yurong Li

  • A Novel Switching Delayed PSO Algorithm for Estimating Unknown Parameters of Lateral Flow Immunoassay

    Nianyin Zeng;Zidong Wang;Zidong Wang;Hong Zhang;Fuad E. Alsaadi

  • A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments

    Weibo Liu;Zidong Wang;Xiaohui Liu;Nianyin Zeng

  • Predicting Alzheimer’s Disease Using LSTM

    Xin Hong;Rongjie Lin;Chenhui Yang;Nianyin Zeng

  • Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip

    Nianyin Zeng;Han Li;Zidong Wang;Zidong Wang;Weibo Liu

  • A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models

    Nianyin Zeng;Zidong Wang;Yurong Li;Min Du

  • An Intelligent Gear Fault Diagnosis Methodology Using a Complex Wavelet Enhanced Convolutional Neural Network

    Weifang Sun;Bin Yao;Nianyin Zeng;Binqiang Chen

  • Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography

    Chenxi Huang;Yisha Lan;Sirui Chen;Qing Liu

Frequent Co-Authors

Zidong Wang
Zidong Wang Brunel University London
Xiaohui Liu
Xiaohui Liu Brunel University London
Fuad E. Alsaadi
Fuad E. Alsaadi King Abdulaziz University
Jinling Liang
Jinling Liang Southeast University
Yudong Zhang
Yudong Zhang University of Leicester
Xin Luo
Xin Luo Chinese Academy of Sciences
Eddie Y. K. Ng
Eddie Y. K. Ng Nanyang Technological University
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston
Long Jin
Long Jin Lanzhou University
Yuan Yang
Yuan Yang Columbia University

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