World's Best Scientists 2026 revealed!
Nianyin Zeng

Nianyin Zeng

D-Index & Metrics

Computer Science

D-Index
50
Citations
13427
World Ranking
5516
National Ranking
737

Nianyin Zeng 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 Nianyin Zeng sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 140 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Nianyin Zeng 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 Nianyin Zeng sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

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
yurong liu
yurong liu Yangzhou 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
Yuan Yang
Yuan Yang Columbia University

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