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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
90
Citations
36232
World Ranking
605
National Ranking
86

Hai Jin 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 Hai Jin 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: 1,613 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Hai Jin 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 Hai Jin 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: 90 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2019 - IEEE Fellow For contributions to peer-to-peer and cloud computing systems

Overview

Hai Jin is affiliated with Huazhong University of Science and Technology in China. Their research spans primarily the field of Computer Science, with notable contributions across multiple subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The scientist's main research topics include:

  • Advanced Graph Neural Networks
  • Graph Theory and Algorithms
  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Parallel Computing and Optimization Techniques

Hai Jin has frequently collaborated with several researchers. Some of the prominent co-authors include:

  • Xiaofei Liao
  • Haikun Liu
  • Deqing Zou
  • Qiang He
  • Xuanhua Shi

They have contributed extensively to a number of publication venues. The most frequent outlets for their work are:

  • arXiv (Cornell University)
  • IEEE Transactions on Computers
  • ACM Transactions on Architecture and Code Optimization
  • IEEE Transactions on Parallel and Distributed Systems
  • Frontiers of Computer Science

Examples of recent papers authored or co-authored by Hai Jin include:

  • Online Collaborative Data Caching in Edge Computing, 2020, IEEE Transactions on Parallel and Distributed Systems
  • A deep learning system for predicting time to progression of diabetic retinopathy, 2024, Nature Medicine
  • A blockchain-based Roadside Unit-assisted authentication and key agreement protocol for Internet of Vehicles, 2020, Journal of Parallel and Distributed Computing
  • Ethereum smart contract security research: survey and future research opportunities, 2020, Frontiers of Computer Science
  • Cost-Effective App Data Distribution in Edge Computing, 2020, IEEE Transactions on Parallel and Distributed Systems

Hai Jin has also contributed to book publications, including a title published by Springer Science+Business Media:

  • Computer Networks and IoT, 2024

In recognition of their work, Hai Jin was awarded the title of IEEE Fellow in 2019 for contributions to peer-to-peer and cloud computing systems.

Best Publications

  • VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

    Zhen Li;Deqing Zou;Shouhuai Xu;Xinyu Ou

  • SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities

    Zhen Li;Deqing Zou;Shouhuai Xu;Hai Jin

  • Performance and energy modeling for live migration of virtual machines

    Haikun Liu;Cheng-Zhong Xu;Hai Jin;Jiayu Gong

  • Performance and energy modeling for live migration of virtual machines

    Haikun Liu;Hai Jin;Cheng-Zhong Xu;Xiaofei Liao

  • Color Image Segmentation Based on Mean Shift and Normalized Cuts

    Wenbing Tao;Hai Jin;Yimin Zhang

  • Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications

    Fangming Liu;Peng Shu;Hai Jin;Linjie Ding

  • AnySee: Peer-to-Peer Live Streaming

    X. Liao;H. Jin;Y. Liu;L. M. Ni

  • Live virtual machine migration with adaptive, memory compression

    Hai Jin;Li Deng;Song Wu;Xuanhua Shi

  • A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

    Rajkumar Buyya;Satish Narayana Srirama;Giuliano Casale;Rodrigo Calheiros

  • Computation Offloading Toward Edge Computing

    Li Lin;Xiaofei Liao;Hai Jin;Peng Li

  • A Game-Theoretical Approach for User Allocation in Edge Computing Environment

    Qiang He;Guangming Cui;Xuyun Zhang;Feifei Chen

  • Live migration of virtual machine based on full system trace and replay

    Haikun Liu;Hai Jin;Xiaofei Liao;Liting Hu

  • CloudThings: A common architecture for integrating the Internet of Things with Cloud Computing

    Jiehan Zhou;Teemu Leppanen;Erkki Harjula;Mika Ylianttila

  • Public-Key Encryption with Fuzzy Keyword Search: A Provably Secure Scheme under Keyword Guessing Attack

    Peng Xu;Hai Jin;Qianhong Wu;Wei Wang

  • Managing Performance Overhead of Virtual Machines in Cloud Computing: A Survey, State of the Art, and Future Directions

    Fei Xu;Fangming Liu;Hai Jin;Athanasios V. Vasilakos

  • Milvus: A Purpose-Built Vector Data Management System

    Unknown

  • iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud

    Fei Xu;Fangming Liu;Linghui Liu;Hai Jin

  • Object segmentation using ant colony optimization algorithm and fuzzy entropy

    Wenbing Tao;Hai Jin;Liman Liu

  • LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud

    Shadi Ibrahim;Hai Jin;Lu Lu;Song Wu

  • VulPecker: an automated vulnerability detection system based on code similarity analysis

    Zhen Li;Deqing Zou;Shouhuai Xu;Hai Jin

  • A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on a Cloud Computing Platform

    Ke Liu;Hai Jin;Jinjun Chen;Xiao Liu

  • RAID-x: a new distributed disk array for I/O-centric cluster computing

    Kai Hwang;Hai Jin;Roy Ho

Frequent Co-Authors

Deqing Zou
Deqing Zou Huazhong University of Science and Technology
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Fangming Liu
Fangming Liu Huazhong University of Science and Technology
Chen Yu
Chen Yu The University of Texas at Austin
Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Bingsheng He
Bingsheng He National University of Singapore
Qiang He
Qiang He Swinburne University of Technology
Song Guo
Song Guo Hong Kong University of Science and Technology
Bo Li
Bo Li Hong Kong University of Science and Technology
Yun Yang
Yun Yang Swinburne University of Technology

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