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Engineering and Technology
China
2025

Jie Yang publications per year

The chart shows the history of publications by Jie Yang between 1999 and 2023, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jie Yang published across 25 years, from 1999 to 2023, averaging 1.2 papers a year. Output peaked at 6 publications in 2016. 2 of the 31 publications appeared in the last two years.

No. of publications
2 4 6
Bar chart. Horizontal axis: year, 1999 to 2023. Vertical axis: number of publications, 0 to 6. Peak 6 publications in 2016. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 0 publications 2012: 0 publications 2013: 0 publications 2014: 1 publication 2015: 0 publications 2016: 6 publications 2017: 4 publications 2018: 5 publications 2019: 5 publications 2020: 6 publications 2021: 1 publication 2022: 0 publications 2023: 2 publications
1999 2023

31 publications in total across all disciplines

View publications per year as a table
Jie Yang: publications per year, 1999 to 2023
Year Publications
1999 1
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 0
2007 0
2008 0
2009 0
2010 0
2011 0
2012 0
2013 0
2014 1
2015 0
2016 6
2017 4
2018 5
2019 5
2020 6
2021 1
2022 0
2023 2
Total 31
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Jie Yang publications per year - data summary

  • Jie Yang, a Engineering and Technology scholar from Chinese University of Hong Kong, Shenzhen, has 31 publications recorded across 25 years, from 1999 to 2023.
  • The oldest publication on record dates to 1999 and the most recent to 2023.
  • The most productive years are 2016 and 2020, with 6 publications each.
  • The least productive years with any output are 1999, 2014 and 2021, with 1 publication each.
  • 16 of the 25 years in the span carry no publications at all (2000, 2001, 2002, 2003 and others).
  • The rate of publication averages 1.2 papers per year over the whole span, or 3.4 per year counting only the 9 years with at least one publication.
  • The last 5 years on the chart (2019-2023) hold 14 publications, 45% of the career total.
  • Split into equal eras - 1999-2007: 1 publication (0.1 per year); 2008-2016: 7 publications (0.8 per year); 2017-2023: 23 publications (3.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Jie Yang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jie Yang sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Jie Yang publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • The median of the discipline falls in the 198–207 publications range.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 804 publications or more, 100 scientists in all (1% of the field).

Jie Yang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jie Yang sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Jie Yang D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • The median of the discipline falls in the 47 D-Index range.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 107 D-Index or more, 99 scientists in all (1% of the field).

Research.com Recognitions

  • 2025 - Research.com Engineering and Technology in China Leader Award

Overview

Jie Yang is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in subfields such as Signal Processing, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Artificial Intelligence.

The scientist's main research topics include:

  • Indoor and Outdoor Localization Technologies
  • Speech and Audio Processing
  • Video Surveillance and Tracking Methods
  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Biometric Identification and Security
  • Wireless Networks and Protocols

Jie Yang has published extensively, with notable papers including:

  • Commodity WiFi Sensing in Ten Years: Status, Challenges, and Opportunities, 2022, IEEE Internet of Things Journal
  • Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks, 2024, arXiv (Cornell University)
  • EarDynamic, 2021, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • GoPose, 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Enabling Fine-Grained Finger Gesture Recognition on Commodity WiFi Devices, 2020, IEEE Transactions on Mobile Computing

The frequent co-authors of Jie Yang include:

  • Sheng Tan
  • Yili Ren
  • Yingying Chen
  • Linghan Zhang
  • Zi Wang

The scientist's work has appeared repeatedly in several publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

Best Publications

  • Feature selection based on rough sets and particle swarm optimization

    Xiangyang Wang;Jie Yang;Xiaolong Teng;Weijun Xia

  • Free and forced vibrations of functionally graded polymer composite plates reinforced with graphene nanoplatelets

    Mitao Song;Mitao Song;Sritawat Kitipornchai;Jie Yang

  • Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding

    Hongji Huang;Yiwei Song;Jie Yang;Guan Gui

  • On False Data-Injection Attacks against Power System State Estimation: Modeling and Countermeasures

    Qingyu Yang;Jie Yang;Wei Yu;Dou An

  • Letters: Linear local tangent space alignment and application to face recognition

    Tianhao Zhang;Jie Yang;Deli Zhao;Xinliang Ge

  • Postbuckling of piezoelectric FGM plates subject to thermo-electro-mechanical loading

    K.M. Liew;J. Yang;S. Kitipornchai

  • An E-learning Ecosystem Based on Cloud Computing Infrastructure

    Bo Dong;Qinghua Zheng;Jie Yang;Haifei Li

  • Bending and buckling analyses of functionally graded polymer composite plates reinforced with graphene nanoplatelets

    Mitao Song;Mitao Song;Jie Yang;Sritawat Kitipornchai

  • Multi-modal Curriculum Learning for Semi-supervised Image Classification.

    Chen Gong;Dacheng Tao;Stephen J Maybank;Wei Liu

  • Mechanical properties of confined recycled aggregate concrete under axial compression

    Jianzhuang Xiao;Yijie Huang;Jie Yang;Ch. Zhang

  • Buckling and postbuckling of biaxially compressed functionally graded multilayer graphene nanoplatelet-reinforced polymer composite plates

    Mitao Song;Mitao Song;Jie Yang;Sritawat Kitipornchai;Weidong Zhu

  • A three-dimensional finite element study on the biomechanical behavior of an FGBM dental implant in surrounding bone.

    Jie Yang;Hong-Jun Xiang;Hong-Jun Xiang

  • Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications

    Nikola Kasabov;Nathan Matthew Scott;Enmei Tu;Stefan Marks

  • Bending and vibration analysis of functionally graded trapezoidal nanocomposite plates reinforced with graphene nanoplatelets (GPLs)

    Zhan Zhao;Chuang Feng;Yu Wang;Jie Yang

  • Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal

    Jie Yang;Dong Gong;Lingqiao Liu;Qinfeng Shi

  • Semi-analytical solution for nonlinear vibration of laminated FGM plates with geometric imperfections

    S. Kitipornchai;J. Yang;K.M. Liew

  • Discriminative Locality Alignment

    Tianhao Zhang;Dacheng Tao;Jie Yang

  • Saliency propagation from simple to difficult

    Chen Gong;Dacheng Tao;Wei Liu;S.J. Maybank

  • BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing

    Bo Dong;Qinghua Zheng;Mu Qiao;Jian Shu

  • Mean shift blob tracking with kernel histogram filtering and hypothesis testing

    Ning Song Peng;Jie Yang;Zhi Liu

Frequent Co-Authors

Zachary C. Lipton
Zachary C. Lipton Carnegie Mellon University
Scott A. Small
Scott A. Small Columbia University
Meng Wang
Meng Wang University at Buffalo, State University of New York
Eugene R. Bleecker
Eugene R. Bleecker University of Arizona
Sverre Vedal
Sverre Vedal University of Washington
Lianne Sheppard
Lianne Sheppard University of Washington
Adam A. Szpiro
Adam A. Szpiro University of Washington
Patrick L. Kinney
Patrick L. Kinney Boston University
Mary Cushman
Mary Cushman University of Vermont
Prescott G. Woodruff
Prescott G. Woodruff University of California, San Francisco

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