World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6236
World Ranking
9347
National Ranking
288

Jingling Xue 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 Jingling Xue 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: 284 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Jingling Xue 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 Jingling Xue 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Jingling Xue is affiliated with the University of New South Wales in Australia. The primary field of study is Computer Science, with a focus across several subfields including Artificial Intelligence, Signal Processing, Software, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

Their research explores diverse topics, encompassing Advanced Malware Detection Techniques, Security and Verification in Computing, Software Testing and Debugging Techniques, Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Software Engineering Research, and Graph Theory and Algorithms.

They have contributed multiple papers to notable publication venues, with frequent appearances in the following journals and conference proceedings:

  • ACM Transactions on Architecture and Code Optimization
  • Proceedings of the ACM on Programming Languages
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Software Engineering and Methodology
  • arXiv (Cornell University)

Examples of recent published works include:

  • "Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning", 2022, Journal of Systems Architecture
  • "Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices", 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "The driving factors and buffering mechanism regulating cropland soil acidification across the Sichuan Basin of China", 2022, CATENA
  • "ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks", 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Eagle", 2021, ACM Transactions on Software Engineering and Methodology

Frequent co-authors in their research include Dongjie He, Hai Jin, Jingbo Lu, Xiaobing Feng, and Xiaofei Liao. The number of collaborations with these colleagues ranges from six to eleven coauthored works, indicating ongoing partnerships within their research community.

Best Publications

  • SVF: interprocedural static value-flow analysis in LLVM

    Yulei Sui;Jingling Xue

  • Loop tiling for parallelism

    Jingling Xue

  • Data cache locking for higher program predictability

    Xavier Vera;Björn Lisper;Jingling Xue

  • Static memory leak detection using full-sparse value-flow analysis

    Yulei Sui;Ding Ye;Jingling Xue

  • Memory coloring: a compiler approach for scratchpad memory management

    Lian Li;Lin Gao;Jingling Xue

  • Level by level: making flow- and context-sensitive pointer analysis scalable for millions of lines of code

    Hongtao Yu;Jingling Xue;Wei Huo;Xiaobing Feng

  • Detecting Memory Leaks Statically with Full-Sparse Value-Flow Analysis

    Yulei Sui;Ding Ye;Jingling Xue

  • On Tiling as a Loop Transformation

    Jingling Xue

  • Communication-Minimal Tiling of Uniform Dependence Loops

    Jingling Xue

  • Data caches in multitasking hard real-time systems

    X. Vera;B. Lisper;Jingling Xue

  • Let's study whole-program cache behaviour analytically

    X. Vera;Jingling Xue

  • On-demand dynamic summary-based points-to analysis

    Lei Shang;Xinwei Xie;Jingling Xue

  • The Reliability Wall for Exascale Supercomputing

    Xuejun Yang;Zhiyuan Wang;Jingling Xue;Yun Zhou

  • Acculock: Accurate and efficient detection of data races

    Xinwei Xie;Jingling Xue

  • Comparison of quantum dots immunofluorescence histochemistry and conventional immunohistochemistry for the detection of caveolin-1 and PCNA in the lung cancer tissue microarray

    Honglei Chen;Jingling Xue;Yuxia Zhang;Xiaobo Zhu

  • On-demand strong update analysis via value-flow refinement

    Yulei Sui;Jingling Xue

  • Efficient and precise points-to analysis: modeling the heap by merging equivalent automata

    Tian Tan;Yue Li;Jingling Xue

  • An incremental points-to analysis with CFL-Reachability

    Yi Lu;Lei Shang;Xinwei Xie;Jingling Xue

  • Spatio-temporal context reduction: a pointer-analysis-based static approach for detecting use-after-free vulnerabilities

    Hua Yan;Yulei Sui;Shiping Chen;Jingling Xue

  • Data cache locking for tight timing calculations

    Xavier Vera;Björn Lisper;Jingling Xue

  • Understanding and detecting evolution-induced compatibility issues in Android apps

    Dongjie He;Lian Li;Lei Wang;Hengjie Zheng

Frequent Co-Authors

Yulei Sui
Yulei Sui University of New South Wales
Xiangke Liao
Xiangke Liao National University of Defense Technology
Hai Jin
Hai Jin Huazhong University of Science and Technology
Zili Shao
Zili Shao Chinese University of Hong Kong
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Thambipillai Srikanthan
Thambipillai Srikanthan Nanyang Technological University
Christian Lengauer
Christian Lengauer University of Passau
Chip-Hong Chang
Chip-Hong Chang Nanyang Technological University
Yang Xiang
Yang Xiang Swinburne University of Technology
Pen-Chung Yew
Pen-Chung Yew University of Minnesota

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