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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 39 700 700 12 12 145 4813
Computer Science 40 9421 9151 122 122 145 5421

Xiaofei Xie publications per year

The chart shows the history of publications by Xiaofei Xie between 2012 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiaofei Xie published across 15 years, from 2012 to 2026, averaging 19.8 papers a year. Output peaked at 63 publications in 2025. 64 of the 297 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2012 to 2026. Vertical axis: number of publications, 0 to 63. Peak 63 publications in 2025. 2012: 1 publication 2013: 0 publications 2014: 2 publications 2015: 1 publication 2016: 2 publications 2017: 2 publications 2018: 6 publications 2019: 18 publications 2020: 36 publications 2021: 29 publications 2022: 38 publications 2023: 45 publications 2024: 53 publications 2025: 63 publications 2026: 1 publication
2012 2026

297 publications in total across all disciplines

View publications per year as a table
Xiaofei Xie: publications per year, 2012 to 2026
Year Publications
2012 1
2013 0
2014 2
2015 1
2016 2
2017 2
2018 6
2019 18
2020 36
2021 29
2022 38
2023 45
2024 53
2025 63
2026 1
Total 297
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Xiaofei Xie 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 Xiaofei Xie sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 142–151 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 145 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609 145
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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Xiaofei Xie 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 Xiaofei Xie sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 40–41 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907 40
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Xiaofei Xie is affiliated with Nanyang Technological University in Singapore and has an extensive body of work primarily in the field of Computer Science. Their research spans multiple subfields including Artificial Intelligence, Information Systems, Software, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The scientist's research topics cover a diverse range of areas, with a focus on:

  • Adversarial Robustness in Machine Learning
  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Anomaly Detection Techniques and Applications
  • Software System Performance and Reliability
  • Topic Modeling

Xiaofei Xie has contributed to several recent papers, demonstrating involvement in both theoretical and applied aspects of computer science and engineering. Notable publications include:

  • "A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices", 2020, IEEE Transactions on Information Forensics and Security
  • "Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Antibacterial hydrogel with pH-responsive microcarriers of slow-release VEGF for bacterial infected wounds repair", 2022, Journal of Material Science and Technology
  • "Retrieval-Augmented Generation for Code Summarization via Hybrid GNN", 2020, arXiv (Cornell University)

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Transactions on Software Engineering
  • IEEE Transactions on Dependable and Secure Computing
  • Proceedings of the AAAI Conference on Artificial Intelligence

Xiaofei Xie collaborates regularly with a number of coauthors, including:

  • Yang Liu
  • Lei Ma
  • Felix Juefei-Xu
  • Qing Guo
  • Maxime Cordy

Best Publications

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

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

  • Hawkeye: Towards a Desired Directed Grey-box Fuzzer

    Hongxu Chen;Yinxing Xue;Yuekang Li;Bihuan Chen

  • FakeSpotter: A simple yet robust baseline for spotting AI-synthesized fake faces

    Run Wang;Felix Juefei-Xu;Lei Ma;Xiaofei Xie

  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

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

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

    Xiaoning Du;Xiaofei Xie;Yi Li;Lei Ma

  • Wuji: automatic online combat game testing using evolutionary deep reinforcement learning

    Yan Zheng;Changjie Fan;Xiaofei Xie;Ting Su

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

    Qianyu Guo;Sen Chen;Xiaofei Xie;Lei Ma

  • DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices

    Run Wang;Felix Juefei-Xu;Yihao Huang;Qing Guo

  • A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

    Ruitao Feng;Sen Chen;Xiaofei Xie;Guozhu Meng

  • GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

    Unknown

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

    Qiang Hu;Lei Ma;Xiaofei Xie;Bing Yu

  • MemLock: memory usage guided fuzzing

    Cheng Wen;Haijun Wang;Yuekang Li;Shengchao Qin

  • Stealthy and efficient adversarial attacks against deep reinforcement learning

    Jianwen Sun;Tianwei Zhang;Xiaofei Xie;Lei Ma

  • Typestate-guided fuzzer for discovering use-after-free vulnerabilities

    Haijun Wang;Xiaofei Xie;Yi Li;Cheng Wen

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

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

  • FakeLocator: Robust Localization of GAN-Based Face Manipulations

    Yihao Huang;Felix Juefei-Xu;Run Wang;Qing Guo

  • Cerebro: context-aware adaptive fuzzing for effective vulnerability detection

    Yuekang Li;Yinxing Xue;Hongxu Chen;Xiuheng Wu

  • Audee: automated testing for deep learning frameworks

    Qianyu Guo;Xiaofei Xie;Yi Li;Xiaoyu Zhang

  • Diffchaser: Detecting disagreements for deep neural networks

    Xiaofei Xie;Lei Ma;Haijun Wang;Yuekang Li

  • SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking

    Qing Guo;Qing Guo;Xiaofei Xie;Felix Juefei-Xu;Lei Ma

  • Towards characterizing adversarial defects of deep learning software from the lens of uncertainty

    Xiyue Zhang;Xiaofei Xie;Lei Ma;Xiaoning Du

  • Cats are not fish: deep learning testing calls for out-of-distribution awareness

    David Berend;Xiaofei Xie;Lei Ma;Lingjun Zhou

  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

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

Frequent Co-Authors

Felix Juefei-Xu
Felix Juefei-Xu Facebook (United States)
Jianjun Zhao
Jianjun Zhao Kyushu University
Wei Feng
Wei Feng Tianjin University
Yan Zheng
Yan Zheng Southern University of Science and Technology
Tao Xiang
Tao Xiang University of Surrey
Xiaohong Guan
Xiaohong Guan Xi'an Jiaotong University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Weisi Lin
Weisi Lin Nanyang Technological University
Han Yu
Han Yu Nanyang Technological University
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University

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