World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8955
World Ranking
6200
National Ranking
2780

Hong 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 Hong 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: 367 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Hong 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 Hong 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Hong Jiang is affiliated with The University of Texas at Arlington in the United States. Their research contributions are primarily situated within the field of Computer Science, encompassing a total of 123 publications. The subfields of study in which they have made notable contributions include Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, and Hardware and Architecture.

The scientist's work covers a range of topics mostly centered on Advanced Data Storage Technologies, Caching and Content Delivery, Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Cloud Data Security Solutions, Graph Theory and Algorithms, and Distributed and Parallel Computing Systems.

Hong Jiang has a record of publishing frequently in several scholarly venues. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Computers
  • ACM Transactions on Storage
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Their recent papers demonstrate a focus on data storage, system performance optimization, and computing models. Key publications include:

  • "The Design of Fast Content-Defined Chunking for Data Deduplication Based Storage Systems" (2020) in IEEE Transactions on Parallel and Distributed Systems
  • "Evolutionary game analysis and simulation with system dynamics for behavioral strategies of participants in crowd logistics" (2020) in Transportation Letters
  • "A Fast Filtering Mechanism to Improve Efficiency of Large-Scale Video Analytics" (2020) in IEEE Transactions on Computers
  • "A Black-Box Fork-Join Latency Prediction Model for Data-Intensive Applications" (2020) in IEEE Transactions on Parallel and Distributed Systems
  • "Improving the Performance of Deduplication-Based Storage Cache via Content-Driven Cache Management Methods" (2020) in IEEE Transactions on Parallel and Distributed Systems

Frequent collaborative partners include Dan Feng, Yongli Cheng, Xianghao Xu, Qiang Cao, and Fang Wang, with collaborative counts ranging from six to fourteen joint works.

Best Publications

  • Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity

    Yang Hu;Hong Jiang;Dan Feng;Lei Tian

  • A Comprehensive Study of the Past, Present, and Future of Data Deduplication

    Wen Xia;Hong Jiang;Dan Feng;Fred Douglis

  • Dynamic-Hash-Table Based Public Auditing for Secure Cloud Storage

    Hui Tian;Yuxiang Chen;Chin-Chen Chang;Hong Jiang

  • SiLo: a similarity-locality based near-exact deduplication scheme with low RAM overhead and high throughput

    Wen Xia;Hong Jiang;Dan Feng;Yu Hua

  • A novel fault-tolerant scheduling algorithm for precedence constrained tasks in real-time heterogeneous systems

    Xiao Qin;Hong Jiang

  • Exploring and Exploiting the Multilevel Parallelism Inside SSDs for Improved Performance and Endurance

    Yang Hu;Hong Jiang;Dan Feng;Lei Tian

  • A dynamic and reliability-driven scheduling algorithm for parallel real-time jobs executing on heterogeneous clusters

    Xiao Qin;Hong Jiang

  • An efficient fault-tolerant scheduling algorithm for real-time tasks with precedence constraints in heterogeneous systems

    Xiao Qin;Hong Jiang;D.R. Swanson

  • PRO: a popularity-based multi-threaded reconstruction optimization for RAID-structured storage systems

    Lei Tian;Dan Feng;Hong Jiang;Ke Zhou

  • MAD2: A scalable high-throughput exact deduplication approach for network backup services

    Jiansheng Wei;Hong Jiang;Ke Zhou;Dan Feng

  • HPDA: A hybrid parity-based disk array for enhanced performance and reliability

    Bo Mao;Hong Jiang;Dan Feng;Suzhen Wu

  • P-Code: a new RAID-6 code with optimal properties

    Chao Jin;Hong Jiang;Dan Feng;Lei Tian

  • DEBAR: A scalable high-performance de-duplication storage system for backup and archiving

    Tianming Yang;Hong Jiang;Dan Feng;Zhongying Niu

  • HBA: Distributed Metadata Management for Large Cluster-Based Storage Systems

    Yifeng Zhu;Hong Jiang;Jun Wang;Feng Xian

  • WorkOut: I/O workload outsourcing for boosting RAID reconstruction performance

    Suzhen Wu;Hong Jiang;Dan Feng;Lei Tian

  • SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup

    Yujuan Tan;Hong Jiang;Dan Feng;Lei Tian

  • AA-Dedupe: An Application-Aware Source Deduplication Approach for Cloud Backup Services in the Personal Computing Environment

    Yinjin Fu;Hong Jiang;Nong Xiao;Lei Tian

  • Dynamic, reliability-driven scheduling of parallel real-time jobs in heterogeneous systems

    X. Qin;H. Jiang

  • Middleware infrastructure for parallel and distributed programming models in heterogeneous systems

    J. Al-Jaroodi;N. Mohamed;H. Jiang;D. Swanson

  • SmartStore: a new metadata organization paradigm with semantic-awareness for next-generation file systems

    Yu Hua;Hong Jiang;Yifeng Zhu;Dan Feng

  • FastCDC: a fast and efficient content-defined chunking approach for data deduplication

    Wen Xia;Yukun Zhou;Hong Jiang;Dan Feng

  • MatrixKV: Reducing Write Stalls and Write Amplification in LSM-tree Based {KV} Stores with Matrix Container in {NVM}

    Ting Yao;Yiwen Zhang;Jiguang Wan;Qiu Cui

Frequent Co-Authors

Dan Feng
Dan Feng Huazhong University of Science and Technology
Xiao Qin
Xiao Qin Auburn University
Jameela Al-Jaroodi
Jameela Al-Jaroodi Robert Morris University
Nader Mohamed
Nader Mohamed California University of Pennsylvania
Changsheng Xie
Changsheng Xie Huazhong University of Science and Technology
Laxmi N. Bhuyan
Laxmi N. Bhuyan University of California, Riverside
Jun Wang
Jun Wang University of Central Florida
Dipak Ghosal
Dipak Ghosal University of California, Davis
Song Jiang
Song Jiang The University of Texas at Arlington
Xue Liu
Xue Liu McGill University

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