World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 30 9780 9384 2793 2565 119 3565

Yan Jin publications per year

The chart shows the history of publications by Yan Jin between 1998 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yan Jin published across 29 years, from 1998 to 2026, averaging 4.6 papers a year. Output peaked at 17 publications in 2025. 21 of the 133 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1998 to 2026. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2025. 1998: 1 publication 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 0 publications 2004: 1 publication 2005: 2 publications 2006: 1 publication 2007: 4 publications 2008: 3 publications 2009: 2 publications 2010: 0 publications 2011: 0 publications 2012: 3 publications 2013: 4 publications 2014: 3 publications 2015: 15 publications 2016: 7 publications 2017: 8 publications 2018: 8 publications 2019: 14 publications 2020: 7 publications 2021: 13 publications 2022: 6 publications 2023: 2 publications 2024: 7 publications 2025: 17 publications 2026: 4 publications
1998 2026

133 publications in total across all disciplines

View publications per year as a table
Yan Jin: publications per year, 1998 to 2026
Year Publications
1998 1
1999 0
2000 0
2001 0
2002 1
2003 0
2004 1
2005 2
2006 1
2007 4
2008 3
2009 2
2010 0
2011 0
2012 3
2013 4
2014 3
2015 15
2016 7
2017 8
2018 8
2019 14
2020 7
2021 13
2022 6
2023 2
2024 7
2025 17
2026 4
Total 133
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Yan Jin 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 Yan Jin 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. The highlighted bar, 118–127 publications, is where this scientist sits. 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+

This scientist: 119 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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 This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341 119
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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Yan Jin 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 Yan Jin 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. The highlighted bar, 30 D-Index, is where this scientist sits. 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+

This scientist: 30 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

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 This scientist
30 59 30
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
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Research.com Recognitions

  • 2010 - Fellow of the American Society of Mechanical Engineers

Overview

Yan Jin is affiliated with the University of Southern California in the United States and specializes in engineering research, with a strong focus on hydraulic fracturing and reservoir analysis, drilling and well engineering, and seismic imaging and inversion techniques. Their work also covers rock mechanics and modeling, groundwater flow and contamination studies, hydrocarbon exploration and reservoir analysis, and reservoir engineering and simulation methods.

Yan Jin's publication record includes numerous papers in various scientific venues. Recent notable papers include:

  • Hydraulic fracture vertical propagation behavior in transversely isotropic layered shale formation with transition zone using XFEM-based CZM method, 2021, Engineering Fracture Mechanics
  • Investigation on fracture creation in hot dry rock geothermal formations of China during hydraulic fracturing, 2020, Renewable Energy
  • An integrated 3D fracture network reconstruction method based on microseismic events, 2021, Journal of Natural Gas Science and Engineering
  • A machine learning framework for low-field NMR data processing, 2022, Petroleum Science
  • A discontinuous discrete fracture model for coupled flow and geomechanics based on FEM, 2021, Journal of Petroleum Science and Engineering

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Journal of Petroleum Science and Engineering
  • Petroleum Science
  • IOP Conference Series Earth and Environmental Science
  • Computers and Geotechnics

Yan Jin collaborates regularly with several coauthors, including:

  • Yang Xia
  • Shiming Wei
  • Yunhu Lu
  • Huiwen Pang
  • Botao Lin

Their main fields of study are centered around engineering with subfields addressing ocean engineering, mechanical engineering, mechanics of materials, geophysics, and artificial intelligence.

Yan Jin has been recognized as a Fellow of the American Society of Mechanical Engineers since 2010.

Best Publications

  • Analysis of fracture propagation behavior and fracture geometry using a tri-axial fracturing system in naturally fractured reservoirs

    Jian Zhou;Mian Chen;Yan Jin;Guang-qing Zhang

  • Analysis of hydraulic fracture initiation and vertical propagation behavior in laminated shale formation

    Peng Tan;Yan Jin;Ke Han;Bing Hou

  • Experimental investigation of hydraulic fracturing in random naturally fractured blocks

    Jian Zhou;Yan Jin;Mian Chen

  • Indoor evaluation method for shale brittleness and improvement

    Qinghui Li;Qinghui Li;Mian Chen;Yan Jin;F. P. Wang

  • Theoretical analysis and experimental research on the energy dissipation of rock crushing based on fractal theory

    Yong Deng;Mian Chen;Yan Jin;Daiwu Zou

  • A criterion for identifying hydraulic fractures crossing natural fractures in 3D space

    Wan Cheng;Yan Jin;Mian Chen;Tong Xu

  • Reactivation mechanism of natural fractures by hydraulic fracturing in naturally fractured shale reservoirs

    Wan Cheng;Wan Cheng;Yan Jin;Mian Chen

  • Understanding hydraulic fracture propagation behavior in tight sandstone–coal interbedded formations: an experimental investigation

    Peng Tan;Yan Jin;Liang Yuan;Zhen-Yu Xiong

  • The Experimental Investigation of Fracture Propagation Behavior and Fracture Geometry in Hydraulic Fracturing through Oriented Perforations

    M. Chen;H. Jiang;G. Q. Zhang;Y. Jin

  • Wellbore stability model for shale gas reservoir considering the coupling of multi-weakness planes and porous flow

    Chuan Liang;Mian Chen;Yan Jin;Yunhu Lu

  • The effect of natural fracture dip and strike on hydraulic fracture propagation

    Ali Naghi Dehghan;Kamran Goshtasbi;Kaveh Ahangari;Yan Jin

  • Investigation on fracture creation in hot dry rock geothermal formations of China during hydraulic fracturing

    Zhou Zhou;Yan Jin;Yijin Zeng;Xudong Zhang

  • Vertical propagation behavior of hydraulic fractures in coal measure strata based on true triaxial experiment

    Peng Tan;Yan Jin;Ke Han;Xiaojin Zheng

  • Experimental investigation of hydraulic fracture propagation in fractured blocks

    Ali Naghi Dehghan;Kamran Goshtasbi;Kaveh Ahangari;Yan Jin

  • Reactivation mechanism of natural fractures by hydraulic fracturing in naturally fractured shale reservoirs

    Unknown

  • Experimental study of brittleness anisotropy of shale in triaxial compression

    Zhi Geng;Mian Chen;Yan Jin;Shuai Yang

  • Rock Mechanical Properties of Shale Gas Reservoir and their Influences on Hydraulic Fracture

    Qinghui Li;Mian Chen;Yan Jin;Yu Zhou

  • Determination of Rock Fracture Toughness KIIC and its Relationship with Tensile Strength

    Yan Jin;Jianbo Yuan;Mian Chen;Kangping Chen

  • 3D Numerical Modeling of the Propagation of Hydraulic Fracture at Its Intersection with Natural (Pre-existing) Fracture

    Ali Naghi Dehghan;Kamran Goshtasbi;Kaveh Ahangari;Yan Jin

  • Experimental study and numerical modeling of brittle fracture of carbonate rock under uniaxial compression

    Lichun Jia;Mian Chen;Wei Zhang;Tong Xu

  • Modelling temperature-influenced acidizing process in fractured carbonate rocks

    Guowei Ma;Guowei Ma;Yun Chen;Yan Jin;Huidong Wang

  • Influence of vugs in fractured-vuggy carbonate reservoirs on hydraulic fracture propagation based on laboratory experiments

    Baohua Liu;Yan Jin;Mian Chen

  • Mechanism of fracture initiation and propagation using a tri-axial hydraulic fracturing test system in naturally fractured reservoirs

    Ali Naghi Dehghan;Kamran Goshtasbi;Kaveh Ahangari;Yan Jin

  • Experiments and analysis on hydraulic sand fracturing by an improved true tri-axial cell

    Peng Tan;Yan Jin;Bing Hou;Xiaojin Zheng

  • Experimental study of step-displacement hydraulic fracturing on naturally fractured shale outcrops

    Wan Cheng;Wan Cheng;Yan Jin;Mian Chen

  • Experimental study on propagation of hydraulic fracture in volcanic rocks using industrial CT technology

    Lichun Jia;Mian Chen;Liangtian Sun;Zhiyu Sun

  • A new technique for synthetizing capillary pressure (Pc) curves using NMR logs in tight gas sandstone reservoirs

    Unknown

  • Productivity evaluation of unconventional reservoir development with three-dimensional fracture networks

    Yun Chen;Guowei Ma;Guowei Ma;Yan Jin;Huidong Wang;Huidong Wang

  • Quantitative study in shale gas behaviors using a coupled triple-continuum and discrete fracture model

    Shiming Wei;Yang Xia;Yan Jin;Mian Chen

Frequent Co-Authors

Paul M. Thompson
Paul M. Thompson University of Southern California
Raymond E. Levitt
Raymond E. Levitt Stanford University
Neda Jahanshad
Neda Jahanshad University of Southern California
Dan Sun
Dan Sun Queen's University Belfast
Dinggang Shen
Dinggang Shen ShanghaiTech University
Jia Zhu
Jia Zhu Nanjing University
Arthur W. Toga
Arthur W. Toga University of Southern California
Katie L. McMahon
Katie L. McMahon Queensland University of Technology
Margaret J. Wright
Margaret J. Wright University of Queensland
Weihai Chen
Weihai Chen Beihang University

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