Jie Tian

59.6k total citations · 16 hit papers
1.3k papers, 43.9k citations indexed

About

Jie Tian is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jie Tian has authored 1.3k papers receiving a total of 43.9k indexed citations (citations by other indexed papers that have themselves been cited), including 528 papers in Radiology, Nuclear Medicine and Imaging, 468 papers in Biomedical Engineering and 196 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jie Tian's work include Radiomics and Machine Learning in Medical Imaging (245 papers), Photoacoustic and Ultrasonic Imaging (201 papers) and Optical Imaging and Spectroscopy Techniques (180 papers). Jie Tian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (245 papers), Photoacoustic and Ultrasonic Imaging (201 papers) and Optical Imaging and Spectroscopy Techniques (180 papers). Jie Tian collaborates with scholars based in China, United States and Canada. Jie Tian's co-authors include Di Dong, Zhenyu Liu, Wei Qin, Kun Wang, Zaiyi Liu, Kai Yuan, Changhong Liang, Jimin Liang, Yang Du and Zhenhua Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Jie Tian

1.2k papers receiving 43.2k citations

Hit Papers

Development and Validation of a Radiomics Nomogram for Pr... 2014 2026 2018 2022 2016 2019 2019 2016 2014 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer
    2016 1.3k citations Yanqi Huang, Changhong Liang et al. Journal of Clinical Oncology profile →
  2. First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows
    2019 871 citations Jie Tian et al. profile →
  3. The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
    2019 658 citations Zhenyu Liu, Di Dong et al. profile →
  4. Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer
    2016 582 citations Yanqi Huang, Zaiyi Liu et al. profile →
  5. DNA Origami as an In Vivo Drug Delivery Vehicle for Cancer Therapy
    2014 530 citations Jie Tian et al. profile →
  6. Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification
    2016 461 citations Di Dong, Jie Tian et al. profile →
  7. Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma
    2017 389 citations Bin Zhang, Jie Tian et al. Clinical Cancer Research profile →
  8. Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study
    2018 380 citations Kun Wang, Jie Tian et al. profile →
  9. Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
    2017 355 citations Zaiyi Liu, Zhenyu Liu et al. profile →
  10. Arginine-Rich Manganese Silicate Nanobubbles as a Ferroptosis-Inducing Agent for Tumor-Targeted Theranostics
    2018 353 citations Jie Tian et al. profile →
  11. Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
    2019 316 citations Jingyun Shi, Di Dong et al. profile →
  12. Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer
    2019 305 citations Di Dong, Jie Tian et al. profile →
  13. Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study
    2020 284 citations Di Dong, Zaiyi Liu et al. profile →
  14. Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma
    2019 241 citations Hao Peng, Di Dong et al. Clinical Cancer Research profile →
  15. NIR-II light in clinical oncology: opportunities and challenges
    2024 164 citations Kun Wang, Kunshan He et al. profile →
  16. Fluorescence image-guided tumour surgery
    2023 133 citations Kun Wang, Kunshan He et al. profile →

Peers

Jie Tian
Ferenc A. Jólesz United States
Maximilian F. Reiser Germany
Frederik Barkhof Netherlands
Markus Schwaiger Germany
Mitchel S. Berger United States
Guangming Lu China
U. Rajendra Acharya Singapore
Tien Yin Wong Singapore
Kun Wang China
James S. Babb United States
Ferenc A. Jólesz United States
Jie Tian
Citations per year, relative to Jie Tian Jie Tian (= 1×) peers Ferenc A. Jólesz

Countries citing papers authored by Jie Tian

Since Specialization
Citations

This map shows the geographic impact of Jie Tian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jie Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Tian more than expected).

Fields of papers citing papers by Jie Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jie Tian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jie Tian. The network helps show where Jie Tian may publish in the future.

Co-authorship network of co-authors of Jie Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Tian. A scholar is included among the top collaborators of Jie Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jie Tian. Jie Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Lingling, Jie Tian, & Lan Zou. (2025). Bifurcation analysis of a discrete Nicholson’s blowflies model. Physica D Nonlinear Phenomena. 473. 134550–134550. 1 indexed citations
2.
Zhang, Liwen, Hui Hui, Lishuang Guo, et al.. (2024). A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality. Computer Methods and Programs in Biomedicine. 252. 108250–108250.
3.
Liu, Yu, Pengli Gao, Xiaohua Jia, et al.. (2024). Oral-administered allomelanin-like nanomedicine with multi-enzyme mimesis and favorable gastrointestinal tolerance for amelioration of acute colitis. Applied Materials Today. 37. 102143–102143. 1 indexed citations
4.
Li, Li, Qiyuan Wang, Jie Tian, et al.. (2024). Exploring secondary aerosol formation associated with elemental carbon in the lower free troposphere. The Science of The Total Environment. 932. 172992–172992. 1 indexed citations
5.
Chen, Xi-Mei, et al.. (2024). The evolutionary analysis of investment in CCS-EOR under dual carbon target—From the perspective of multi-agent involvement. International journal of greenhouse gas control. 135. 104107–104107. 7 indexed citations
6.
Wang, Haili, et al.. (2024). Association between inflammatory bowel disease and Parkinson’s disease: a prospective cohort study of 468,556 UK biobank participants. Frontiers in Aging Neuroscience. 15. 1294879–1294879. 3 indexed citations
7.
Tian, Jie, Zhijian Wang, Yaqin Hou, et al.. (2023). Amplifying photoreduction efficacy of Bi-Sb bimetallic nanocrystals: Manipulating carrier dynamics to boost CO2-to-CO conversion. Applied Catalysis B: Environmental. 340. 123272–123272. 17 indexed citations
8.
Liu, Ruimin, Chenglong Huang, Mengqian Hou, et al.. (2023). Adipocyte-derived chemerin rescues lipid overload-induced cardiac dysfunction. iScience. 26(4). 106495–106495. 6 indexed citations
9.
Wang, Shuang, Qiyuan Wang, Ting Zhang, et al.. (2023). Elaborations of the influencing factors on the formation of secondary inorganic aerosols in a heavily polluted urban area of China. Journal of Environmental Sciences. 138. 406–417. 6 indexed citations
10.
Liu, Jinping, et al.. (2023). CK2 inhibitor DMAT ameliorates spinal cord injury by increasing autophagy and inducing anti-inflammatory microglial polarization. Neuroscience Letters. 805. 137222–137222. 3 indexed citations
11.
Zhang, Yong, Jie Tian, Qiyuan Wang, et al.. (2023). High-time-resolution chemical composition and source apportionment of PM 2.5 in northern Chinese cities: implications for policy. Atmospheric chemistry and physics. 23(16). 9455–9471. 23 indexed citations
12.
Fang, Mengjie, et al.. (2023). Predicting origin for bone metastatic cancer using deep learning-based pathology. EBioMedicine. 88. 104449–104449. 3 indexed citations
13.
Chen, Sheng, Hui Peng, Ling Yao, et al.. (2020). Prediction of Risk Factors for the Evolution of Traumatic Subdural Effusion into Chronic Subdural Hematoma. SHILAP Revista de lepidopterología.
14.
Wang, Yichuan, et al.. (2019). Hypoxia-active nanoparticles used in tumor theranostic. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Peng, Hao, Di Dong, Lu Li, et al.. (2019). Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma. Clinical Cancer Research. 25(14). 4271–4279. 241 indexed citations breakdown →
16.
Song, Jiangdian, Jingyun Shi, Di Dong, et al.. (2018). A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy. Clinical Cancer Research. 24(15). 3583–3592. 149 indexed citations
17.
Li, Peng, Wenting Shang, Pengyu Guo, et al.. (2018). Phage Display-Derived Peptide-Based Dual-Modality Imaging Probe for Bladder Cancer Diagnosis and Resection Postinstillation: A Preclinical Study. Molecular Cancer Therapeutics. 17(10). 2100–2111. 15 indexed citations
18.
Zhang, Bin, Jie Tian, Di Dong, et al.. (2017). Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma. Clinical Cancer Research. 23(15). 4259–4269. 389 indexed citations breakdown →
19.
Huang, Yanqi, Changhong Liang, Lan He, et al.. (2016). Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. Journal of Clinical Oncology. 34(18). 2157–2164. 1347 indexed citations breakdown →
20.
Yu, Dahua, Kai Yuan, Wei Qin, et al.. (2012). Axonal loss of white matter in migraine without aura: A tract-based spatial statistics study. Cephalalgia. 33(1). 34–42. 63 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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