World's Best Scientists 2026 revealed!
Jianjun Zhao

Jianjun Zhao

D-Index & Metrics

Computer Science

D-Index
46
Citations
7707
World Ranking
6901
National Ranking
98

Jianjun Zhao 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 Jianjun Zhao 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Jianjun Zhao 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 Jianjun Zhao 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Jianjun Zhao is affiliated with Kyushu University in Japan and has an extensive publication record primarily in the fields of Computer Science and Engineering. Their research encompasses a variety of subfields, with a significant focus on Artificial Intelligence, Information Systems, Software, Control and Systems Engineering, and Mechanical Engineering.

The main topics covered in their work include Quantum Computing Algorithms and Architecture, Quantum Information and Cryptography, Software Testing and Debugging Techniques, Software Engineering Research, Adversarial Robustness in Machine Learning, Cloud Computing and Resource Management, and Software Reliability and Analysis Research.

Jianjun Zhao has contributed to numerous scientific venues, with a substantial number of publications appearing in:

  • arXiv (Cornell University)
  • Journal of Systems and Software
  • SSRN Electronic Journal
  • ACM Transactions on Software Engineering and Methodology
  • Zenodo (CERN European Organization for Nuclear Research)

Their recent published papers include:

  • Quantum Software Engineering: Landscapes and Horizons (2020) published in arXiv (Cornell University)
  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining (2021) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • xFuzz: Machine Learning Guided Cross-Contract Fuzzing (2022) published in IEEE Transactions on Dependable and Secure Computing
  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms (2020) published in arXiv (Cornell University)
  • Bugs4Q: A Benchmark of Real Bugs for Quantum Programs (2021) published in 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Frequent co-authors working closely with Jianjun Zhao include Lei Ma, Zhenya Zhang, Qing Guo, Felix Juefei-Xu, and Paolo Arcaini.

Jianjun Zhao has also contributed to book publications, including a title published by Frontiers Media: "Mechanistic Studies of Genome Integrity, Environmental Health, and Cancer Etiology" released in 2022.

Best Publications

  • DeepGauge: multi-granularity testing criteria for deep learning systems

    Lei Ma;Felix Juefei-Xu;Fuyuan Zhang;Jiyuan Sun

  • DeepHunter: a coverage-guided fuzz testing framework for deep neural networks

    Xiaofei Xie;Lei Ma;Felix Juefei-Xu;Minhui Xue

  • DeepMutation: Mutation Testing of Deep Learning Systems

    Lei Ma;Lei Ma;Fuyuan Zhang;Jiyuan Sun;Minhui Xue

  • CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E)

    Fei Lv;Hongyu Zhang;Jian-guang Lou;Shaowei Wang

  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

    Hua Qi;Qing Guo;Felix Juefei-Xu;Xiaofei Xie

  • Data-flow-based unit testing of aspect-oriented programs

    Jianjun Zhao

  • Coverage-directed differential testing of JVM implementations

    Yuting Chen;Ting Su;Chengnian Sun;Zhendong Su

  • DeepStellar: model-based quantitative analysis of stateful deep learning systems

    Xiaoning Du;Xiaofei Xie;Yi Li;Lei Ma

  • DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems

    Lei Ma;Felix Juefei-Xu;Minhui Xue;Bo Li

  • Automatic parameter recommendation for practical API usage

    Cheng Zhang;Juyuan Yang;Yi Zhang;Jing Fan

  • Spatial and Temporal Changes in Vegetation Phenology at Middle and High Latitudes of the Northern Hemisphere over the Past Three Decades

    Jianjun Zhao;Hongyan Zhang;Zhengxiang Zhang;Xiaoyi Guo

  • An empirical study towards characterizing deep learning development and deployment across different frameworks and platforms

    Qianyu Guo;Sen Chen;Xiaofei Xie;Lei Ma

  • Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data

    Siwen Feng;Jianjun Zhao;Tingting Liu;Hongyan Zhang

  • Slicing aspect-oriented software

    Jianjun Zhao

  • A framework and tool supports for generating test inputs of AspectJ programs

    Tao Xie;Jianjun Zhao

  • Quantum Software Engineering: Landscapes and Horizons.

    Jianjun Zhao

  • DeepMutation++: a mutation testing framework for deep learning systems

    Qiang Hu;Lei Ma;Xiaofei Xie;Bing Yu

  • Measuring Aspect Cohesion

    Jianjun Zhao;Baowen Xu

  • Slicing concurrent Java programs

    Jianjun Zhao

  • Static slicing of concurrent object-oriented programs

    Jianjun Zhao;Jingde Cheng;K. Ushijima

  • EfficientDeRain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

  • Change impact analysis to support architectural evolution

    Jianjun Zhao;Hongji Yang;Liming Xiang;Baowen Xu

Frequent Co-Authors

Xiaofei Xie
Xiaofei Xie Nanyang Technological University
Felix Juefei-Xu
Felix Juefei-Xu Facebook (United States)
Baowen Xu
Baowen Xu Nanjing University
Tao Xie
Tao Xie Peking University
Lingxiao Jiang
Lingxiao Jiang Singapore Management University
Wei Feng
Wei Feng Tianjin University
Chunyang Chen
Chunyang Chen Technical University of Munich
Cristina V. Lopes
Cristina V. Lopes University of California, Irvine
Darko Marinov
Darko Marinov University of Illinois at Urbana-Champaign

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