World's Best Scientists 2026 revealed!
Changjun Jiang

Changjun Jiang

D-Index & Metrics

Computer Science

D-Index
47
Citations
7551
World Ranking
6581
National Ranking
882

Changjun Jiang 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 Changjun Jiang 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: 293 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Changjun Jiang 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 Changjun Jiang 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Changjun Jiang is a researcher affiliated with Tongji University in China, primarily working within the domain of Computer Science. Their scholarly activity includes a substantial number of publications, totaling 241 in this field, reflecting a focused research career.

Their contributions span several subfields of study, with particular emphasis on Artificial Intelligence, Information Systems, and Computer Networks and Communications. Additional areas of research interest include Computer Vision and Pattern Recognition, as well as Electrical and Electronic Engineering.

The main research topics covered by their work include:

  • Imbalanced Data Classification Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Graph Neural Networks
  • Privacy-Preserving Technologies in Data
  • Vehicular Ad Hoc Networks (VANETs)
  • Anomaly Detection Techniques and Applications
  • Business Process Modeling and Analysis

Changjun Jiang has co-authored numerous publications with recurring collaborators such as Guang Chen, Junli Wang, Zhijun Ding, Guanjun Liu, and Chungang Yan, indicating sustained research partnerships.

The researcher has published frequently in venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Social Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Neurocomputing

Some recent papers include:

  • "Explaining the black-box model: A survey of local interpretation methods for deep neural networks" (2020, Neurocomputing)
  • "A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection" (2021, Expert Systems with Applications)
  • "Deep Representation Learning With Full Center Loss for Credit Card Fraud Detection" (2020, IEEE Transactions on Computational Social Systems)
  • "Elastic Scheduling for Microservice Applications in Clouds" (2020, IEEE Transactions on Parallel and Distributed Systems)
  • "Improved TrAdaBoost and its Application to Transaction Fraud Detection" (2020, IEEE Transactions on Computational Social Systems)

Changjun Jiang is also an author of a book published by World Scientific titled Risk Control Theory of Online Transactions (2021).

Best Publications

  • Random forest for credit card fraud detection

    Unknown

  • Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets

    Lina Ni;Jinquan Zhang;Changjun Jiang;Chungang Yan

  • Composite Particle Swarm Optimizer With Historical Memory for Function Optimization

    Jie Li;JunQi Zhang;ChangJun Jiang;MengChu Zhou

  • Hadoop Performance Modeling for Job Estimation and Resource Provisioning

    Mukhtaj Khan;Yong Jin;Maozhen Li;Yang Xiang

  • Elastic Scheduling for Microservice Applications in Clouds

    Unknown

  • User Association for Load Balancing in Vehicular Networks: An Online Reinforcement Learning Approach

    Unknown

  • GAOM: Genetic Algorithm Based Ontology Matching

    Unknown

  • Transaction Fraud Detection Based on Total Order Relation and Behavior Diversity

    Unknown

  • Improving Performance of Heterogeneous MapReduce Clusters with Adaptive Task Tuning

    Dazhao Cheng;Jia Rao;Yanfei Guo;Changjun Jiang

  • A Transaction and QoS-Aware Service Selection Approach Based on Genetic Algorithm

    ZhiJun Ding;JunJun Liu;YouQing Sun;ChangJun Jiang

  • Improved TrAdaBoost and its Application to Transaction Fraud Detection

    Lutao Zheng;Guanjun Liu;Chungang Yan;Changjun Jiang

  • Two Simple Deadlock Prevention Policies for ${ m S}^{3}{ m PR}$ Based on Key-Resource/Operation-Place Pairs

    GuanJun Liu;ChangJun Jiang;MengChu Zhou

  • Modeling and Analysis of Real-Time Cooperative Systems Using Petri Nets

    Yu Yue Du;Chang Jun Jiang;Meng Chu Zhou

  • Modeling and Validating E-Commerce Business Process Based on Petri Nets

    WangYang Yu;ChunGang Yan;ZhiJun Ding;ChangJun Jiang

  • A Novel Method for Calculating Service Reputation

    Yan Wu;ChunGang Yan;ZhiJun Ding;GuanJun Liu

  • SDCoR: Software Defined Cognitive Routing for Internet of Vehicles

    Unknown

  • Constraint-Aware Approach to Web Service Composition

    PengWei Wang;ZhiJun Ding;ChangJun Jiang;MengChu Zhou

  • Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters

    Dazhao Cheng;Jia Rao;Changjun Jiang;Xiaobo Zhou

  • Improved Rule Installation for Real-Time Query Service in Software-Defined Internet of Vehicles

    Xin Wang;Cheng Wang;Junqi Zhang;Mengchu Zhou

  • FLEP: Enabling Flexible and Efficient Preemption on GPUs

    Bo Wu;Xu Liu;Xiaobo Zhou;Changjun Jiang

  • Automatic Web Service Composition Based on Uncertainty Execution Effects

    PengWei Wang;ZhiJun Ding;ChangJun Jiang;MengChu Zhou

  • A Petri Net-Based Model for Verification of Obligations and Accountability in Cooperative Systems

    YuYue Du;ChangJun Jiang;MengChu Zhou

  • Automatic Web service composition based on Horn clauses and Petri nets

    Xianfei Tang;Changjun Jiang;Mengchu Zhou

  • LASS: Local-Activity and Social-Similarity Based Data Forwarding in Mobile Social Networks

    Zhong Li;Cheng Wang;Siqian Yang;Changjun Jiang

  • Heterogeneity-Aware Workload Placement and Migration in Distributed Sustainable Datacenters

    Dazhao Cheng;Changjun Jiang;Xiaobo Zhou

  • Objectives and State-of-the-Art of Location-Based Social Network Recommender Systems

    Zhijun Ding;Xiaolun Li;Changjun Jiang;Mengchu Zhou

Frequent Co-Authors

Huaiqing Wang
Huaiqing Wang City University of Hong Kong
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology

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