Jie Tian

1.8k total citations · 1 hit paper
39 papers, 1.2k citations indexed

About

Jie Tian is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Jie Tian has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Jie Tian's work include Radiomics and Machine Learning in Medical Imaging (19 papers), AI in cancer detection (12 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Jie Tian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), AI in cancer detection (12 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Jie Tian collaborates with scholars based in China, United States and Ethiopia. Jie Tian's co-authors include Caiyun Yang, Wei Shen, Feng Yang, Mu Zhou, Eryun Liu, Anil K. Jain, Nan Ji, Di Dong, Changhong Liang and Xin Chen and has published in prestigious journals such as Advanced Materials, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cancer Research.

In The Last Decade

Jie Tian

31 papers receiving 1.2k citations

Hit Papers

Multi-scale Convolutional Neural Networks for Lung Nodule... 2015 2026 2018 2022 2015 100 200 300 400
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. Multi-scale Convolutional Neural Networks for Lung Nodule Classification
    2015 408 citations Jie Tian et al. profile →

Peers

Jie Tian
Yali Zang China
Guangzhi Ma China
David Clunie United States
Jason W. Chan United States
Belal Ahmad Canada
Mehrdad J. Gangeh Canada
Tao Chen China
Abhishek Midya United States
Olya Grove United States
Avishek Chatterjee Netherlands
Yali Zang China
Jie Tian
Citations per year, relative to Jie Tian Jie Tian (= 1×) peers Yali Zang

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, Zhenyu, et al.. (2025). DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification. Computer Methods and Programs in Biomedicine. 261. 108592–108592. 1 indexed citations
2.
Tian, Jie, et al.. (2025). NIR‐II Fluorescence Image Translation via Latent Space Disentanglement. International Journal of Imaging Systems and Technology. 35(1).
3.
Wang, Zhuonan, Lina Zhang, Xinyi Li, et al.. (2025). Acupuncture effect on brain default mode network connectivity in breast cancer patients with hot flashes: A randomized controlled trial. European Journal of Cancer. 229. 115785–115785.
4.
Meng, He, Liehui Ge, Hui Hui, et al.. (2025). Noninvasive in vivo tracking of SPIONs-labeled CLDN18.2-targeted CAR-T cells in gastric cancer via magnetic particle imaging. Translational research. 283. 3–12. 1 indexed citations
5.
Li, Jiaqian, Yuan Feng, Guanghui Li, et al.. (2025). Optical-magnetic Imaging for Optimizing Lymphodepletion-TIL Combination Therapy in Breast Cancer. Molecular Imaging and Biology. 27(2). 260–273. 1 indexed citations
6.
Yu, Xiaoming, Xiaojing Shi, Jie Tian, & Zhenhua Hu. (2024). Universal NIR-II fluorescence image enhancement via square and square root network. Signal Processing. 230. 109818–109818.
7.
8.
Zhang, Peng, Lin Yin, Yu An, et al.. (2023). Dual-Feature Frequency Component Compression Method for Accelerating Reconstruction in Magnetic Particle Imaging. IEEE Transactions on Computational Imaging. 9. 289–297. 14 indexed citations
9.
Pang, Wenjing, et al.. (2022). MSMFN: An Ultrasound Based Multi-Step Modality Fusion Network for Identifying the Histologic Subtypes of Metastatic Cervical Lymphadenopathy. IEEE Transactions on Medical Imaging. 42(4). 996–1008. 10 indexed citations
10.
Pang, Liaojun, et al.. (2022). Indexing-Min–Max Hashing: Relaxing the Security–Performance Tradeoff for Cancelable Fingerprint Templates. IEEE Transactions on Systems Man and Cybernetics Systems. 52(10). 6314–6325. 16 indexed citations
11.
Li, Zhe, Shuo Wang, Yu He, et al.. (2022). A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(2). 330–341. 20 indexed citations
12.
Tong, Tong, Dongyang Li, Jionghui Gu, et al.. (2022). Dual-Input Transformer: An End-to-End Model for Preoperative Assessment of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Ultrasonography. IEEE Journal of Biomedical and Health Informatics. 27(1). 251–262. 19 indexed citations
13.
Wei, Jingwei, Yu Gao, Xiaozhen Yang, et al.. (2022). A multi‐scale, multi‐region and attention mechanism‐based deep learning framework for prediction of grading in hepatocellular carcinoma. Medical Physics. 50(4). 2290–2302. 13 indexed citations
14.
Shen, B. F., Xiaojing Shi, Zhe Zhang, et al.. (2022). Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging. IEEE Transactions on Medical Imaging. 41(10). 2570–2581. 24 indexed citations
15.
Guo, Xu, Zhenyu Liu, Caixia Sun, et al.. (2020). Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer. EBioMedicine. 60. 103018–103018. 74 indexed citations
16.
He, Kunshan, Chongwei Chi, Deling Li, et al.. (2020). Resection and survival data from a clinical trial of glioblastoma multiforme‐specific IRDye800‐BBN fluorescence‐guided surgery. Bioengineering & Translational Medicine. 6(1). e10182–e10182. 26 indexed citations
17.
Tan, Hongna, Yaping Wu, Jing Zhou, et al.. (2019). Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence. Academic Radiology. 27(9). 1217–1225. 50 indexed citations
18.
Li, Deling, Jingjing Zhang, Chongwei Chi, et al.. (2018). First-in-human study of PET and optical dual-modality image-guided surgery in glioblastoma using 68Ga-IRDye800CW-BBN. Theranostics. 8(9). 2508–2520. 110 indexed citations
19.
Liu, Eryun, Anil K. Jain, & Jie Tian. (2013). A Coarse to Fine Minutiae-Based Latent Palmprint Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(10). 2307–2322. 73 indexed citations
20.
Chen, Changhong, et al.. (2008). Factorial HMM and Parallel HMM for Gait Recognition. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 39(1). 114–123. 49 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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