World's Best Scientists 2026 revealed!
Qingsheng Zhu

Qingsheng Zhu

D-Index & Metrics

Computer Science

D-Index
37
Citations
5985
World Ranking
10739
National Ranking
1322

Qingsheng Zhu 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 Qingsheng Zhu 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Qingsheng Zhu 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 Qingsheng Zhu 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Qingsheng Zhu is affiliated with Chongqing University in China. Their research primarily focuses on computer science, with a significant number of publications in artificial intelligence and related subfields including electrical and electronic engineering, computer vision and pattern recognition, management science and operations research, and computer networks and communications.

Their work spans several main topics, reflecting diverse interests within computer science:

  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Text and Document Classification Technologies
  • Advanced Graph Neural Networks
  • Network Security and Intrusion Detection
  • Video Surveillance and Tracking Methods

Qingsheng Zhu has published several papers in notable journals, often collaborating with coauthors including Junnan Li, Quanwang Wu, Fan Zhu, Dongdong Cheng, and Mingqiang Zhou. The most frequent collaborator is Junnan Li, with whom they have co-authored nine papers.

Recent publications include:

  • "A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors" (2021), published in Information Sciences
  • "SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution" (2021), published in Knowledge-Based Systems
  • "An effective framework based on local cores for self-labeled semi-supervised classification" (2020), published in Knowledge-Based Systems
  • "A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor" (2020), published in Applied Intelligence
  • "A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors" (2020), published in Applied Intelligence

Frequent publication venues for Qingsheng Zhu include:

  • Applied Intelligence
  • Knowledge-Based Systems
  • SSRN Electronic Journal
  • Information Sciences
  • Pattern Recognition

Best Publications

  • An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems

    Xin Luo;Mengchu Zhou;Yunni Xia;Qingsheng Zhu

  • A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

    Xin Luo;MengChu Zhou;Shuai Li;Zhuhong You

  • Natural neighbor: A self-adaptive neighborhood method without parameter K

    Unknown

  • Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models

    Xin Luo;MengChu Zhou;Yunni Xia;Qingsheng Zhu

  • Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data

    Xin Luo;MengChu Zhou;Shuai Li;YunNi Xia

  • Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization

    Xin Luo;Yunni Xia;Qingsheng Zhu

  • Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds

    Quanwang Wu;Fuyuki Ishikawa;Qingsheng Zhu;Yunni Xia

  • A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors

    Junnan Li;Qingsheng Zhu;Quanwang Wu;Zhu Fan

  • A non-parameter outlier detection algorithm based on Natural Neighbor

    Jinlong Huang;Qingsheng Zhu;Lijun Yang;Ji Feng

  • Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds

    Yunni Xia;MengChu Zhou;Xin Luo;Qingsheng Zhu

  • Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters

    Quanwang Wu;Fuyuki Ishikawa;Qingsheng Zhu;Yunni Xia

  • An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization

    Xin Luo;MengChu Zhou;Zidong Wang;Yunni Xia

  • An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering

    Xin Luo;MengChu Zhou;Hareton Leung;Yunni Xia

  • MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows

    Quanwang Wu;MengChu Zhou;Qingsheng Zhu;Yunni Xia

  • Clustering with Local Density Peaks-Based Minimum Spanning Tree

    Dongdong Cheng;Qingsheng Zhu;Jinlong Huang;Quanwang Wu

  • Transactional and QoS-aware dynamic service composition based on ant colony optimization

    Quanwang Wu;Qingsheng Zhu

  • A novel outlier cluster detection algorithm without top-n parameter

    Jinlong Huang;Qingsheng Zhu;Lijun Yang;DongDong Cheng

  • An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems

    Xin Luo;Mengchu Zhou;Shuai Li;Yunni Xia

  • A Novel Cluster Validity Index Based on Local Cores

    Dongdong Cheng;Qingsheng Zhu;Jinlong Huang;Quanwang Wu

  • Fluctuation-Aware and Predictive Workflow Scheduling in Cost-Effective Infrastructure-as-a-Service Clouds

    Weiling Li;Yunni Xia;Mengchu Zhou;Xiaoning Sun

  • Applying the learning rate adaptation to the matrix factorization based collaborative filtering

    Xin Luo;Yunni Xia;Qingsheng Zhu

Frequent Co-Authors

Yunni Xia
Yunni Xia Indiana University
Xin Luo
Xin Luo Chinese Academy of Sciences
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Shuai Li
Shuai Li University of Oulu
Zhu-Hong You
Zhu-Hong You Chinese Academy of Sciences
Hareton Leung
Hareton Leung Hong Kong Polytechnic University
Ahmed Alabdulwahab
Ahmed Alabdulwahab King Abdulaziz University
Zidong Wang
Zidong Wang Brunel University London

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