H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Medicine D-index 85 Citations 27,381 754 World Ranking 7450 National Ranking 70

Research.com Recognitions

Awards & Achievements

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 Indian National Academy of Engineering (INAE)

2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to fingerprint recognition and medical imaging

2013 - SPIE Fellow

2010 - IEEE Fellow For contributions to medical image processing, pattern recognition, and molecular imaging

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Cancer
  • Artificial intelligence

His primary scientific interests are in Neuroscience, Resting state fMRI, Artificial intelligence, Brain mapping and Internal medicine. He combines topics linked to Acupuncture with his work on Neuroscience. His work deals with themes such as Aura and Anterior cingulate cortex, Psychiatry, Cognition, Stroop effect, which intersect with Resting state fMRI.

His Artificial intelligence research integrates issues from Computer vision and Pattern recognition. His Brain mapping study integrates concerns from other disciplines, such as Insula, Functional imaging and Audiology. Jie Tian works mostly in the field of Internal medicine, limiting it down to topics relating to Oncology and, in certain cases, Cohort and Radiomics.

His most cited work include:

  • Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer (630 citations)
  • Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer. (304 citations)
  • DNA Origami as an In Vivo Drug Delivery Vehicle for Cancer Therapy (292 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Artificial intelligence, Radiology, Neuroscience, Tomography and Computer vision. In most of his Artificial intelligence studies, his work intersects topics such as Pattern recognition. His Radiology research is multidisciplinary, incorporating perspectives in Logistic regression, Nomogram, Cohort and Receiver operating characteristic.

His study on Neuroscience is mostly dedicated to connecting different topics, such as Acupuncture. The concepts of his Tomography study are interwoven with issues in Algorithm, Inverse problem, Iterative reconstruction and Molecular imaging. His research integrates issues of Anterior cingulate cortex, Psychiatry, Cognition, Brain activity and meditation and Brain mapping in his study of Resting state fMRI.

He most often published in these fields:

  • Artificial intelligence (22.53%)
  • Radiology (20.49%)
  • Neuroscience (21.32%)

What were the highlights of his more recent work (between 2019-2021)?

  • Radiology (20.49%)
  • Artificial intelligence (22.53%)
  • Receiver operating characteristic (12.12%)

In recent papers he was focusing on the following fields of study:

Radiology, Artificial intelligence, Receiver operating characteristic, Radiomics and Nomogram are his primary areas of study. His studies in Radiology integrate themes in fields like Logistic regression, Cohort and Confidence interval. Cohort is a subfield of Internal medicine that Jie Tian tackles.

His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition. His Radiomics research is multidisciplinary, relying on both Hepatocellular carcinoma and Carcinoma. His Nomogram research incorporates elements of Cancer, Lymph node metastasis, Metastasis, Neuroradiology and Feature.

Between 2019 and 2021, his most popular works were:

  • A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis. (107 citations)
  • A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis. (107 citations)
  • A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis. (107 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Cancer
  • Artificial intelligence

Jie Tian mostly deals with Radiology, Nomogram, Receiver operating characteristic, Internal medicine and Radiomics. His Radiology research is multidisciplinary, incorporating perspectives in Cancer, Neuroradiology, Lymph node and Confidence interval. Jie Tian combines subjects such as Logistic regression and Cohort with his study of Receiver operating characteristic.

His work in Internal medicine addresses issues such as Oncology, which are connected to fields such as Chemotherapy and Proportional hazards model. His Radiomics study deals with the bigger picture of Artificial intelligence. His Artificial intelligence study combines topics in areas such as Automation, Significant difference and Pattern recognition.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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.
Journal of Clinical Oncology (2016)

754 Citations

Multi-scale Convolutional Neural Networks for Lung Nodule Classification

Wei Shen;Mu Zhou;Feng Yang;Caiyun Yang.
international conference information processing (2015)

451 Citations

Microstructure Abnormalities in Adolescents with Internet Addiction Disorder

Kai Yuan;Wei Qin;Guihong Wang;Fang Zeng.
PLOS ONE (2011)

398 Citations

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

Qian Zhang;Qiao Jiang;Na Li;Luru Dai.
ACS Nano (2014)

393 Citations

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.
Radiology (2016)

383 Citations

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

Wei Shen;Mu Zhou;Feng Yang;Dongdong Yu.
Pattern Recognition (2017)

317 Citations

Frame difference energy image for gait recognition with incomplete silhouettes

Changhong Chen;Jimin Liang;Heng Zhao;Haihong Hu.
Pattern Recognition Letters (2009)

275 Citations

Increased frequency of circulating follicular helper T cells in patients with rheumatoid arthritis.

Jie Ma;Chenlu Zhu;Bin Ma;Jie Tian.
Clinical & Developmental Immunology (2012)

262 Citations

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.
Theranostics (2014)

256 Citations

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

Bin Zhang;Bin Zhang;Jie Tian;Di Dong;Dongsheng Gu.
Clinical Cancer Research (2017)

250 Citations

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Best Scientists Citing Jie Tian

Kai Yuan

Kai Yuan

Xidian University

Publications: 40

Kang Lee

Kang Lee

University of Toronto

Publications: 36

Xiaoyuan Chen

Xiaoyuan Chen

National University of Singapore

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

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 27

Lino Becerra

Lino Becerra

Boston Children's Hospital

Publications: 27

Hugo J.W.L. Aerts

Hugo J.W.L. Aerts

Brigham and Women's Hospital

Publications: 27

Karen M. von Deneen

Karen M. von Deneen

Xidian University

Publications: 25

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 24

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 24

Junji Cao

Junji Cao

Chinese Academy of Sciences

Publications: 24

Zhi-Yuan Li

Zhi-Yuan Li

South China University of Technology

Publications: 22

Jorge Ripoll

Jorge Ripoll

Carlos III University of Madrid

Publications: 22

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