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Jie Tian
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Engineering and Technology
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 104 118 111 16 15 1001 41088
Medicine 119 3850 3605 35 33 1196 61163

Jie Tian publications per year

The chart shows the history of publications by Jie Tian between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jie Tian published across 34 years, from 1992 to 2025, averaging 42.5 papers a year. Output peaked at 174 publications in 2019. 23 of the 1,445 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 174. Peak 174 publications in 2019. 1992: 1 publication 1993: 1 publication 1994: 1 publication 1995: 0 publications 1996: 1 publication 1997: 3 publications 1998: 2 publications 1999: 1 publication 2000: 3 publications 2001: 3 publications 2002: 9 publications 2003: 18 publications 2004: 19 publications 2005: 19 publications 2006: 31 publications 2007: 27 publications 2008: 25 publications 2009: 57 publications 2010: 74 publications 2011: 72 publications 2012: 84 publications 2013: 79 publications 2014: 61 publications 2015: 73 publications 2016: 84 publications 2017: 95 publications 2018: 118 publications 2019: 174 publications 2020: 155 publications 2021: 101 publications 2022: 14 publications 2023: 17 publications 2024: 9 publications 2025: 14 publications
1992 2025

1,445 publications in total across all disciplines

View publications per year as a table
Jie Tian: publications per year, 1992 to 2025
Year Publications
1992 1
1993 1
1994 1
1995 0
1996 1
1997 3
1998 2
1999 1
2000 3
2001 3
2002 9
2003 18
2004 19
2005 19
2006 31
2007 27
2008 25
2009 57
2010 74
2011 72
2012 84
2013 79
2014 61
2015 73
2016 84
2017 95
2018 118
2019 174
2020 155
2021 101
2022 14
2023 17
2024 9
2025 14
Total 1,445
Download as CSV

Jie Tian 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 Tian 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, 804+ 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: 1,001 publications — 100th percentile

100% 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
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 1,001
Download as CSV

Jie Tian 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 Tian 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, 104 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: 104 D-Index — 99th percentile

99% 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
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 9 104
105 6
106 9
107+ 99
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in China Leader Award
  • 2025 - Research.com Engineering and Technology in China Leader Award
  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - OSA Fellows Jie  Tian Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, China “for the outstanding contributions to the theory and application of the optical molecular imaging, and especially for the Biological Luminescence Tomography and Fluorescence Molecular Tomography” (Engineering and Science Research)
  • 2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to fingerprint recognition and medical imaging
  • 2014 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2013 - SPIE Fellow
  • 2010 - IEEE Fellow For contributions to medical image processing, pattern recognition, and molecular imaging

Overview

Jie Tian is affiliated with the Chinese Academy of Sciences in China, focusing research primarily within the fields of Immunology and Microbiology, Medicine, and Biochemistry, Genetics and Molecular Biology. Their work spans several subfields, including Immunology, Molecular Biology, Oncology, Atmospheric Science, and Cancer Research.

Their research explores major topics such as Immune Cell Function and Interaction, Immune cells in cancer, T-cell and B-cell Immunology, Extracellular vesicles in disease, Atmospheric chemistry and aerosols, Air Quality and Health Impacts, and IL-33, ST2, and ILC Pathways.

Recent publications showcase Jie Tian's contributions to immunological studies and cellular therapy, with notable papers including:

  • "Effects of Mesenchymal Stem Cell-Derived Exosomes on Autoimmune Diseases" (2021, Frontiers in Immunology)
  • "The RNA m6A writer METTL14 in cancers: Roles, structures, and applications" (2021, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer)
  • "Olfactory ecto-mesenchymal stem cell-derived exosomes ameliorate murine Sjögren's syndrome by modulating the function of myeloid-derived suppressor cells" (2021, Cellular and Molecular Immunology)
  • "Olfactory Ecto-Mesenchymal Stem Cell-Derived Exosomes Ameliorate Experimental Colitis via Modulating Th1/Th17 and Treg Cell Responses" (2020, Frontiers in Immunology)
  • "The Role of GITR/GITRL Interaction in Autoimmune Diseases" (2020, Frontiers in Immunology)

The most frequent publication venues in which Jie Tian has contributed include:

  • Frontiers in Immunology
  • Cellular and Molecular Immunology
  • Inflammation Research
  • Atmospheric chemistry and physics
  • Research Square (Research Square)

Collaborations are a significant aspect of Jie Tian's research, with frequent coauthors comprising:

  • Shengjun Wang
  • Ke Rui
  • Liwei Lu
  • Fan Xiao
  • Huaxi Xu

Their research contributions have been recognized through several awards and fellowships:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • OSA Fellow, 2017, for contributions to optical molecular imaging including Biological Luminescence Tomography and Fluorescence Molecular Tomography
  • Fellow of the International Association for Pattern Recognition (IAPR), 2014, for work in fingerprint recognition and medical imaging
  • Fellow of the Indian National Academy of Engineering (INAE), 2014
  • SPIE Fellow, 2013
  • IEEE Fellow, 2010, for contributions to medical image processing, pattern recognition, and molecular imaging

Best Publications

  • Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

    Yan-qi Huang;Chang-hong Liang;Lan He;Jie Tian

  • First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows

    Zhenhua Hu;Cheng Fang;Bo Li;Zeyu Zhang;Zeyu Zhang

  • The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.

    Zhenyu Liu;Shuo Wang;Di Dong;Jingwei Wei

  • Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer.

    Yanqi Huang;Zaiyi Liu;Lan He;Xin Chen

  • DNA Origami as an In Vivo Drug Delivery Vehicle for Cancer Therapy

    Qian Zhang;Qiao Jiang;Na Li;Luru Dai

  • Multi-scale Convolutional Neural Networks for Lung Nodule Classification

    Wei Shen;Mu Zhou;Feng Yang;Caiyun Yang

  • Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

    Wei Shen;Mu Zhou;Feng Yang;Dongdong Yu

  • Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

    Kun Wang;Xue Lu;Hui Zhou;Yongyan Gao

  • Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer

    Zhenyu Liu;Xiao-Yan Zhang;Yan-Jie Shi;Lin Wang

  • Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

    Bin Zhang;Bin Zhang;Jie Tian;Di Dong;Dongsheng Gu

  • A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.

    Shuo Wang;Yunfei Zha;Weimin Li;Qingxia Wu

  • Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study.

    Zhenyu Liu;Zhuolin Li;Jinrong Qu;Renzhi Zhang

  • Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

    Shuo Wang;Mu Zhou;Zaiyi Liu;Zhenyu Liu

  • Microstructure Abnormalities in Adolescents with Internet Addiction Disorder

    Kai Yuan;Wei Qin;Guihong Wang;Fang Zeng

  • Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

    Shuo Wang;Jingyun Shi;Zhaoxiang Ye;Di Dong

  • Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer.

    D. Dong;L. Tang;Z Y Li;M J Fang

  • The Role of Imaging in the Detection and Management of COVID-19: A Review

    Di Dong;Zhenchao Tang;Shuo Wang;Hui Hui

  • Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.

    D. Dong;M.-J. Fang;L. Tang;X.-H. Shan

  • Intraoperative Imaging-Guided Cancer Surgery: From Current Fluorescence Molecular Imaging Methods to Future Multi-Modality Imaging Technology

    Chongwei Chi;Yang Du;Jinzuo Ye;Deqiang Kou

  • Arginine-Rich Manganese Silicate Nanobubbles as a Ferroptosis-Inducing Agent for Tumor-Targeted Theranostics

    Shuaifei Wang;Fangyuan Li;Ruirui Qiao;Xi Hu

  • A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration

    Jian Chen;Jie Tian;Noah Lee;Jian Zheng

  • Frame difference energy image for gait recognition with incomplete silhouettes

    Changhong Chen;Jimin Liang;Heng Zhao;Haihong Hu

Frequent Co-Authors

Wei Qin
Wei Qin Xidian University
Kai Yuan
Kai Yuan Xidian University
Shengjun Wang
Shengjun Wang Jiangsu University
Karen M. von Deneen
Karen M. von Deneen Xidian University
Yijun Liu
Yijun Liu University of Florida
Huaxi Xu
Huaxi Xu Jiangsu University
Yi Zhang
Yi Zhang Xidian University
Liwei Lu
Liwei Lu University of Hong Kong
Kang Lee
Kang Lee University of Toronto
Junji Cao
Junji Cao Chinese Academy of Sciences

External Links

Personal website of Jie Tian Google Scholar page

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Best Scientists Citing Jie Tian

Kai Yuan

Kai Yuan

Xidian University

Publications: 40

Xiaoyuan Chen

Xiaoyuan Chen

National University of Singapore

Publications: 36

Kang Lee

Kang Lee

University of Toronto

Publications: 36

David Borsook

David Borsook

Boston Children's Hospital

Publications: 34

Robert J. Gillies

Robert J. Gillies

Moffitt Cancer Center

Publications: 32

Ge Wang

Ge Wang

Rensselaer Polytechnic Institute

Publications: 31

Wei Qin

Wei Qin

Xidian University

Publications: 30

Lino Becerra

Lino Becerra

Harvard Medical School

Publications: 27

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 27

Hugo J.W.L. Aerts

Hugo J.W.L. Aerts

Brigham and Women's Hospital

Publications: 27

Guangheng Dong

Guangheng Dong

Zhejiang Normal University

Publications: 27

Karen M. von Deneen

Karen M. von Deneen

Xidian University

Publications: 25

Junji Cao

Junji Cao

Chinese Academy of Sciences

Publications: 24

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 24

Xiaoxia Du

Xiaoxia Du

East China Normal University

Publications: 24

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 24

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