World's Best Scientists 2026 revealed!
Award Badge
Engineering and Technology
China
2026

D-Index & Metrics

Engineering and Technology

D-Index
104
Citations
41088
World Ranking
118
National Ranking
17

Medicine

D-Index
119
Citations
61163
World Ranking
3850
National Ranking
35

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Expanding your education in Engineering and Technology can open doors to many career pathways—some directly related, others in complementary fields. Online programs offer a flexible way to gain credentials that can set you apart in diverse industries.

For those interested in the business side of engineering, an cheapest aacsb online mba no gmat can provide essential leadership and management skills. Want to explore law and technology? Consider aba approved paralegal programs, which are great for integrating legal expertise with a technical background.

Careers in human resources often require an understanding of complex technical teams. Pursuing a masters in human resources can help you manage and support the next wave of engineering talent. Interested in bridging the gap between tech and effective communication? An online communications masters can help you share technical ideas clearly and impactfully.

Whether you wish to move into management, legal studies, HR, or communications, these online degrees provide affordable, accessible options to support your ambitions in the dynamic world of Engineering and Technology.

Best Scientists Citing Jie Tian

Trending Scientists

Recently Published Articles