Jiantao Pu

3.0k total citations
104 papers, 2.2k citations indexed

About

Jiantao Pu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiantao Pu has authored 104 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Radiology, Nuclear Medicine and Imaging, 53 papers in Pulmonary and Respiratory Medicine and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiantao Pu's work include Lung Cancer Diagnosis and Treatment (34 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (20 papers). Jiantao Pu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (34 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (20 papers). Jiantao Pu collaborates with scholars based in United States, China and Japan. Jiantao Pu's co-authors include Bin Zheng, Joseph K. Leader, David Gur, Frank C. Sciurba, Maxine Tan, Suicheng Gu, Lei Wang, Justus E. Roos, Geoffrey D. Rubin and David S. Paik and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Jiantao Pu

96 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiantao Pu United States 28 1.2k 948 631 404 264 104 2.2k
Paras Lakhani United States 18 1.3k 1.1× 498 0.5× 157 0.2× 517 1.3× 65 0.2× 39 2.0k
Shoji Kido Japan 24 974 0.8× 1.1k 1.2× 231 0.4× 266 0.7× 51 0.2× 173 2.2k
He Ma China 20 756 0.6× 224 0.2× 270 0.4× 460 1.1× 103 0.4× 72 1.2k
Xin Yang China 21 1.5k 1.2× 246 0.3× 1.2k 1.9× 1.2k 2.9× 154 0.6× 86 3.1k
Jeny Rajan India 26 921 0.7× 217 0.2× 884 1.4× 257 0.6× 273 1.0× 84 1.9k
Jixiang Guo China 17 534 0.4× 242 0.3× 258 0.4× 235 0.6× 108 0.4× 72 999
Ozan Oktay United Kingdom 16 1.3k 1.0× 209 0.2× 1.3k 2.1× 817 2.0× 81 0.3× 29 2.7k
Lukas Ebner Switzerland 22 1.5k 1.2× 939 1.0× 304 0.5× 604 1.5× 23 0.1× 101 2.9k
Guanyu Yang China 24 952 0.8× 379 0.4× 734 1.2× 287 0.7× 30 0.1× 122 1.9k
Gareth Funka-Lea United States 14 790 0.6× 327 0.3× 1.7k 2.7× 260 0.6× 78 0.3× 32 2.4k

Countries citing papers authored by Jiantao Pu

Since Specialization
Citations

This map shows the geographic impact of Jiantao Pu'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 Jiantao Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiantao Pu more than expected).

Fields of papers citing papers by Jiantao Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiantao Pu. 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 Jiantao Pu. The network helps show where Jiantao Pu may publish in the future.

Co-authorship network of co-authors of Jiantao Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiantao Pu. A scholar is included among the top collaborators of Jiantao Pu 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 Jiantao Pu. Jiantao Pu 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.
Meng, Xin, John P. Ryan, Ernest G. Chan, et al.. (2025). Predicting Primary Graft Dysfunction in Systemic Sclerosis Lung Transplantation Using Machine‐Learning and CT Features. Clinical Transplantation. 39(7). e70217–e70217.
2.
Yu, Qi, et al.. (2025). Adaptive boundary-enhanced Dice loss for image segmentation. Biomedical Signal Processing and Control. 106. 107741–107741. 4 indexed citations
3.
Leader, Joseph K., et al.. (2024). Vascular Biomarkers for Pulmonary Nodule Malignancy: Arteries vs. Veins. Cancers. 16(19). 3274–3274. 1 indexed citations
4.
Chan, Ernest G., Kaveh Moghbeli, Tong Yu, et al.. (2024). Predicting post-lung transplant survival in systemic sclerosis using CT-derived features from preoperative chest CT scans. European Radiology. 35(4). 2005–2017. 1 indexed citations
5.
Wang, Jing, et al.. (2024). A generalized health index: automated thoracic CT-derived biomarkers predict life expectancy. British Journal of Radiology. 98(1167). 412–421. 1 indexed citations
6.
He, Liyu, Tingting Han, Jialiang Ren, et al.. (2024). HRCT findings predict 1-year mortality in patients with acute exacerbation of idiopathic inflammatory myopathies-associated interstitial lung disease. Heliyon. 10(11). e31510–e31510. 1 indexed citations
7.
Pu, Jiantao, Naciye Sinem Gezer, Aylin Özgen Alpaydın, et al.. (2023). Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining. Medical Image Analysis. 89. 102882–102882. 15 indexed citations
8.
Leader, Joseph K., et al.. (2023). Graphical modeling of causal factors associated with the postoperative survival of esophageal cancer subjects. Medical Physics. 51(3). 1997–2006. 3 indexed citations
9.
Leader, Joseph K., et al.. (2022). Super U-Net: A modularized generalizable architecture. Pattern Recognition. 128. 108669–108669. 49 indexed citations
10.
Pu, Jiantao, Joseph K. Leader, Andriy I. Bandos, et al.. (2020). Any unique image biomarkers associated with COVID-19?. European Radiology. 30(11). 6221–6227. 34 indexed citations
11.
Raghu, Vineet K., Wei Zhao, Jiantao Pu, et al.. (2019). Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models. Thorax. 74(7). 643–649. 45 indexed citations
12.
Wang, Xiaohua, Joseph K. Leader, Renwei Wang, et al.. (2017). Vasculature surrounding a nodule: A novel lung cancer biomarker. Lung Cancer. 114. 38–43. 21 indexed citations
13.
Wang, Lei, Yan Chang, Hui Wang, et al.. (2017). An active contour model based on local fitted images for image segmentation. Information Sciences. 418-419. 61–73. 111 indexed citations
14.
Gu, Suicheng, Xin Meng, Frank C. Sciurba, et al.. (2014). Bidirectional elastic image registration using B-spline affine transformation. Computerized Medical Imaging and Graphics. 38(4). 306–314. 16 indexed citations
15.
Wang, Qiuping, et al.. (2014). Computerized segmentation of pulmonary nodules depicted in CT examinations using freehand sketches. Medical Physics. 41(4). 41917–41917. 6 indexed citations
16.
Gu, Suicheng, Joseph K. Leader, Bin Zheng, et al.. (2014). Direct assessment of lung function in COPD using CT densitometric measures. Physiological Measurement. 35(5). 833–845. 15 indexed citations
17.
Wang, Zhimin, Suicheng Gu, Joseph K. Leader, et al.. (2012). Optimal threshold in CT quantification of emphysema. European Radiology. 23(4). 975–984. 113 indexed citations
18.
Pu, Jiantao, Carl R. Fuhrman, Joseph K. Leader, et al.. (2010). Computerized assessment of pulmonary fissure integrity using high resolution CT. Medical Physics. 37(9). 4661–4672. 17 indexed citations
19.
Pu, Jiantao, Justus E. Roos, Chin A Yi, et al.. (2008). Adaptive border marching algorithm: Automatic lung segmentation on chest CT images. Computerized Medical Imaging and Graphics. 32(6). 452–462. 157 indexed citations
20.
Pu, Jiantao, Yagnanarayanan Kalyanaraman, Subramaniam Jayanti, Karthik Ramani, & Zygmunt Pizlo. (2007). Navigation and Discovery in 3D CAD Repositories. IEEE Computer Graphics and Applications. 27(4). 38–47. 12 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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