World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
12794
World Ranking
3451
National Ranking
464

Junfei Qiao 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 Junfei Qiao 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: 388 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Junfei Qiao 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 Junfei Qiao 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Junfei Qiao is affiliated with Beijing University of Technology in China, focusing on interdisciplinary research spanning computer science, engineering, and environmental science. Their work encompasses a range of fields with prominent contributions to artificial intelligence, control and systems engineering, and water science and technology.

Their research covers several subfields of study, including:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Water Science and Technology
  • Environmental Engineering

Junfei Qiao has published extensively on topics such as neural networks and applications, adaptive dynamic programming control, and advanced control systems optimization. Other key areas include machine learning and extreme learning machines (ELM), water quality monitoring technologies, fault detection and control systems, and air quality monitoring and forecasting.

Main topics of work identified are:

  • Neural Networks and Applications
  • Machine Learning and ELM
  • Adaptive Dynamic Programming Control
  • Advanced Control Systems Optimization
  • Water Quality Monitoring Technologies
  • Fault Detection and Control Systems
  • Air Quality Monitoring and Forecasting

They have contributed to numerous scholarly publications, frequently appearing in prominent venues, including:

  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Industrial Informatics
  • Neurocomputing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Automation Science and Engineering

Significant recent papers by Junfei Qiao include:

  • "Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant" (2020), published in IEEE Transactions on Industrial Electronics
  • "Artificial neural networks for water quality soft-sensing in wastewater treatment: a review" (2021), published in Artificial Intelligence Review
  • "Adaptive Fuzzy Fast Finite-Time Dynamic Surface Tracking Control for Nonlinear Systems" (2021), published in IEEE Transactions on Circuits and Systems I Regular Papers
  • "A multi-objective particle swarm optimization algorithm based on two-archive mechanism" (2022), published in Applied Soft Computing
  • "Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System" (2020), published in IEEE Transactions on Neural Networks and Learning Systems

Collaboration has been a significant aspect of Qiao's work. Frequent co-authors include:

  • Honggui Han
  • Ding Wang
  • Jian Tang
  • Mingming Zhao
  • Wenjing Li

The research conducted by Junfei Qiao integrates advanced computational methods and control strategies applied to environmental engineering and water treatment systems, reflecting a broad spectrum of interdisciplinary competencies.

Best Publications

  • Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

    Ke Gu;Dacheng Tao;Jun-Fei Qiao;Weisi Lin

  • An efficient self-organizing RBF neural network for water quality prediction

    Hong-Gui Han;Qi-li Chen;Jun-Fei Qiao

  • No-Reference Quality Assessment of Screen Content Pictures

    Ke Gu;Jun Zhou;Jun-Fei Qiao;Guangtao Zhai

  • Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network

    Hong-Gui Han;Jun-Fei Qiao;Qi-Li Chen

  • Growing Echo-State Network With Multiple Subreservoirs

    Junfei Qiao;Fanjun Li;Honggui Han;Wenjing Li

  • A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm

    Honggui Han;Junfei Qiao

  • Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant

    Ding Wang;Mingming Ha;Junfei Qiao

  • Deep Dual-Channel Neural Network for Image-Based Smoke Detection

    Ke Gu;Zhifang Xia;Junfei Qiao;Weisi Lin

  • Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process

    Honggui Han;Junfei Qiao

  • Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation

    Ding Wang;Mingming Ha;Junfei Qiao

  • Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network

    Hong-Gui Han;Lu Zhang;Ying Hou;Jun-Fei Qiao

  • A multi-objective particle swarm optimization algorithm based on two-archive mechanism

    Unknown

  • Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors

    Ke Gu;Junfei Qiao;Weisi Lin

  • Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

    Gongming Wang;Qing Shan Jia;Meng Chu Zhou;Jing Bi

  • Model-Based Referenceless Quality Metric of 3D Synthesized Images Using Local Image Description

    Ke Gu;Vinit Jakhetiya;Jun-Fei Qiao;Xiaoli Li

  • An Adaptive-PSO-Based Self-Organizing RBF Neural Network

    Hong-Gui Han;Wei Lu;Ying Hou;Jun-Fei Qiao

  • Highly Efficient Picture-Based Prediction of PM2.5 Concentration

    Ke Gu;Junfei Qiao;Xiaoli Li

  • Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation

    Jun-Fei Qiao;Ying Hou;Lu Zhang;Hong-Gui Han

  • TL-GDBN: Growing Deep Belief Network With Transfer Learning

    GongMing Wang;JunFei Qiao;Jing Bi;WenJing Li

  • Evaluating Quality of Screen Content Images Via Structural Variation Analysis

    Ke Gu;Junfei Qiao;Xiongkuo Min;Guanghui Yue

  • Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System

    Gongming Wang;Qing-Shan Jia;Junfei Qiao;Jing Bi

  • An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods

    Honggui Han;Wei Lu;Junfei Qiao

Frequent Co-Authors

Ke Gu
Ke Gu Beijing University of Technology
Weisi Lin
Weisi Lin Nanyang Technological University
Ding Wang
Ding Wang Beijing University of Technology
Wen Yu
Wen Yu CINVESTAV
Jing Bi
Jing Bi Beijing University of Technology
Qing-Shan Jia
Qing-Shan Jia Tsinghua University
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Xiao-Jun Zeng
Xiao-Jun Zeng University of Manchester
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Tianyou Chai
Tianyou Chai Northeastern University

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