World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6972
World Ranking
10147
National Ranking
4278

Song 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 Song 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: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Song 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 Song 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Song Jiang is affiliated with The University of Texas at Arlington in the United States. Their research primarily spans the fields of Computer Science and Engineering, with substantial contributions in subfields such as Computer Networks and Communications, Aerospace Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, and Hardware and Architecture.

Their work addresses several main topics, including:

  • Advanced Data Storage Technologies
  • Caching and Content Delivery
  • Peer-to-Peer Network Technologies
  • Software-Defined Networks and 5G
  • Antenna Design and Analysis
  • Antenna Design and Optimization
  • Scheduling and Optimization Algorithms

Song Jiang has published in a variety of venues with interdisciplinary scope. Notable publication venues include:

  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Parallel and Distributed Systems
  • Frontiers of Computer Science
  • European Radiology
  • arXiv (Cornell University)

The following recent papers illustrate the range and diversity of their research topics and collaborations:

  • REMIX: Efficient Range Query for LSM-trees, 2020, arXiv (Cornell University)
  • Deterioration-Aware Collaborative Energy-Efficient Batch Scheduling and Maintenance for Unrelated Parallel Machines Based on Improved MOEA/D, 2025, IEEE Robotics and Automation Letters
  • WOBTree: a write-optimized B+-tree for non-volatile memory, 2021, Frontiers of Computer Science
  • TrieKV: A High-Performance Key-Value Store Design With Memory as Its First-Class Citizen, 2024, IEEE Transactions on Parallel and Distributed Systems
  • Rapid multiparametric quantitative MRI for predicting the activity of thyroid-associated ophthalmopathy: combination with clinical characteristics, 2025, European Radiology

Frequent co-authors collaborating with Song Jiang include Hui Sun, Yinliang Yue, Xiao Qin, Wen Wu, and Haixuan Wang.

Best Publications

  • Workload analysis of a large-scale key-value store

    Berk Atikoglu;Yuehai Xu;Eitan Frachtenberg;Song Jiang

  • LIRS: an efficient low inter-reference recency set replacement policy to improve buffer cache performance

    Song Jiang;Xiaodong Zhang

  • CLOCK-Pro: an effective improvement of the CLOCK replacement

    Song Jiang;Feng Chen;Xiaodong Zhang

  • SDF: software-defined flash for web-scale internet storage systems

    Jian Ouyang;Shiding Lin;Song Jiang;Zhenyu Hou

  • An efficient design and implementation of LSM-tree based key-value store on open-channel SSD

    Peng Wang;Guangyu Sun;Song Jiang;Jian Ouyang

  • DULO: an effective buffer cache management scheme to exploit both temporal and spatial locality

    Song Jiang;Xiaoning Ding;Feng Chen;Enhua Tan

  • LSM-trie: an LSM-tree-based ultra-large key-value store for small data

    Xingbo Wu;Yuehai Xu;Zili Shao;Song Jiang

  • DiskSeen: exploiting disk layout and access history to enhance I/O prefetch

    Xiaoning Ding;Song Jiang;Feng Chen;Kei Davis

  • Transparent, Incremental Checkpointing at Kernel Level: a Foundation for Fault Tolerance for Parallel Computers

    Roberto Gioiosa;Jose Carlos Sancho;Song Jiang;Fabrizio Petrini

  • SDA: Software-defined accelerator for large-scale DNN systems

    Jian Ouyang;Shiding Lin;Wei Qi;Yong Wang

  • Exploiting Lustre File Joining for Effective Collective IO

    Weikuan Yu;J. Vetter;R.S. Canon;Song Jiang

  • Atlas: Baidu's key-value storage system for cloud data

    Chunbo Lai;Song Jiang;Liqiong Yang;Shiding Lin

  • LightFlood: an efficient flooding scheme for file search in unstructured peer-to-peer systems

    S. Jiang;L. Guo;X. Zhang

  • LightFlood: Minimizing Redundant Messages and Maximizing Scope of Peer-to-Peer Search

    Song Jiang;Lei Guo;Xiaodong Zhang;Haodong Wang

  • SmartSaver: turning flash drive into a disk energy saver for mobile computers

    Feng Chen;Song Jiang;Xiaodong Zhang

  • PROP: a scalable and reliable P2P assisted proxy streaming system

    L. Guo;S. Chen;S. Ren;X. Chen

  • Making LRU friendly to weak locality workloads: a novel replacement algorithm to improve buffer cache performance

    S. Jiang;X. Zhang

  • LAMA: optimized locality-aware memory allocation for key-value cache

    Xiameng Hu;Xiaolin Wang;Yechen Li;Lan Zhou

  • S-FTL: An efficient address translation for flash memory by exploiting spatial locality

    Song Jiang;Lei Zhang;XinHao Yuan;Hao Hu

  • IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination

    Xuechen Zhang;Kei Davis;Song Jiang

  • LAMA: Optimized Locality-aware MemoryAllocation for Key-value Cache

    Xiameng Hu;Song Jiang;Yechen Li;Yingwei Luo

Frequent Co-Authors

Xiaodong Zhang
Xiaodong Zhang The Ohio State University
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau
Zili Shao
Zili Shao Chinese University of Hong Kong
Li Xiao
Li Xiao Michigan State University
Fabrizio Petrini
Fabrizio Petrini Intel (United States)
Hong Jiang
Hong Jiang The University of Texas at Arlington
Li Zhang
Li Zhang IBM (United States)
Jason Cong
Jason Cong University of California, Los Angeles
Hai Jin
Hai Jin Huazhong University of Science and Technology
Guangyu Sun
Guangyu Sun Peking University

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