Kunlin Cao

4.3k total citations · 1 hit paper
46 papers, 2.4k citations indexed

About

Kunlin Cao 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, Kunlin Cao has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kunlin Cao's work include Advanced Radiotherapy Techniques (10 papers), Medical Imaging Techniques and Applications (9 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Kunlin Cao is often cited by papers focused on Advanced Radiotherapy Techniques (10 papers), Medical Imaging Techniques and Applications (9 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Kunlin Cao collaborates with scholars based in United States, China and Israel. Kunlin Cao's co-authors include Youbing Yin, Gary E. Christensen, Junjie Bai, Joseph M. Reinhardt, Xin Wang, Kai Ding, Jun Xia, Bin Kong, Qi Song and Yi Lu and has published in prestigious journals such as Circulation, Radiology and IEEE Access.

In The Last Decade

Kunlin Cao

45 papers receiving 2.4k citations

Hit Papers

Using Artificial Intelligence to Detect COVID-19 and Comm... 2020 2026 2022 2024 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunlin Cao United States 19 1.8k 704 582 328 300 46 2.4k
Youbing Yin United States 22 1.7k 1.0× 738 1.0× 801 1.4× 329 1.0× 351 1.2× 51 2.9k
Lukas Ebner Switzerland 22 1.5k 0.8× 604 0.9× 939 1.6× 71 0.2× 362 1.2× 101 2.9k
Peter Mildenberger Germany 25 941 0.5× 181 0.3× 866 1.5× 173 0.5× 325 1.1× 129 2.5k
Shigehiko Katsuragawa Japan 36 2.9k 1.6× 1.4k 2.0× 1.8k 3.2× 92 0.3× 502 1.7× 129 4.1k
Sang Min Lee South Korea 29 1.2k 0.7× 275 0.4× 1.7k 3.0× 61 0.2× 432 1.4× 132 2.9k
J Ikezoe Japan 34 1.3k 0.8× 303 0.4× 2.0k 3.5× 26 0.1× 358 1.2× 160 3.9k
Hester A. Gietema Netherlands 30 1.8k 1.0× 204 0.3× 2.2k 3.8× 32 0.1× 326 1.1× 68 3.4k
Paras Lakhani United States 18 1.3k 0.8× 517 0.7× 498 0.9× 343 1.0× 255 0.8× 39 2.0k

Countries citing papers authored by Kunlin Cao

Since Specialization
Citations

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

Fields of papers citing papers by Kunlin Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunlin Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Kunlin Cao. A scholar is included among the top collaborators of Kunlin Cao 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 Kunlin Cao. Kunlin Cao 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.
Schoepf, U. Joseph, Rock H. Savage, Kunlin Cao, et al.. (2023). A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation. Medical & Biological Engineering & Computing. 61(6). 1507–1520. 3 indexed citations
2.
Wu, Jingping, Yuwei Li, Dan Wu, et al.. (2023). The role of epicardial fat radiomic profiles for atrial fibrillation identification and recurrence risk with coronary CT angiography. British Journal of Radiology. 97(1154). 341–352. 1 indexed citations
3.
Lu, Yi, Bin Kong, Feng Gao, et al.. (2023). Attention-driven tree-structured convolutional LSTM for high dimensional data understanding. Frontiers in Physics. 11. 2 indexed citations
4.
Fang, Zhenghan, Junjie Bai, Xinyu Guo, et al.. (2022). Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning. IEEE Transactions on Artificial Intelligence. 4(2). 255–267. 14 indexed citations
5.
Li, Lin, Lixin Qin, Youbing Yin, et al.. (2020). Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy. Radiology. 296(2). E65–E71. 1309 indexed citations breakdown →
6.
Huang, Pu, Lin Su, Shuyang Chen, et al.. (2019). 2D ultrasound imaging based intra-fraction respiratory motion tracking for abdominal radiation therapy using machine learning. Physics in Medicine and Biology. 64(18). 185006–185006. 21 indexed citations
7.
Pan, Yue, et al.. (2019). Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks. Computer Vision and Pattern Recognition. 5–8. 2 indexed citations
8.
Kong, Bin, Xin Wang, Junjie Bai, et al.. (2019). Learning tree-structured representation for 3D coronary artery segmentation. Computerized Medical Imaging and Graphics. 80. 101688–101688. 59 indexed citations
9.
Ye, Hai, Youbing Yin, Danfeng Guo, et al.. (2019). Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network. European Radiology. 29(11). 6191–6201. 170 indexed citations
10.
Amelon, Ryan, Kunlin Cao, Joseph M. Reinhardt, Gary E. Christensen, & Madhavan L. Raghavan. (2013). A Measure for Characterizing Sliding on Lung Boundaries. Annals of Biomedical Engineering. 42(3). 642–650. 22 indexed citations
11.
Ding, Kai, Kunlin Cao, Matthew K. Fuld, et al.. (2012). Comparison of image registration based measures of regional lung ventilation from dynamic spiral CT with Xe‐CT. Medical Physics. 39(8). 5084–5098. 50 indexed citations
12.
Chen, Mingqing, Kunlin Cao, Yefeng Zheng, & R Siochi. (2012). Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images. IEEE Transactions on Medical Imaging. 32(8). 1365–1375. 11 indexed citations
13.
Ding, Kai, Jing Deng, Kaifang Du, et al.. (2012). SU‐D‐BRB‐05: Small Animal Lung Compliance Imaging: Assessment System for Tissue Sensitivity to Radiation Induced Lung Injury. Medical Physics. 39(6Part3). 3615–3615. 1 indexed citations
14.
Ding, Kai, Kunlin Cao, Kaifang Du, et al.. (2012). SU‐E‐J‐192: Static Breath‐Hold MRI Based Measurement of Change in Pulmonary Function Following a Course of Radiation Therapy. Medical Physics. 39(6Part9). 3697–3697. 1 indexed citations
15.
Du, Kaifang, John E. Bayouth, Kunlin Cao, et al.. (2012). Reproducibility of registration-based measures of lung tissue expansion. Medical Physics. 39(3). 1595–1608. 58 indexed citations
16.
Amelon, Ryan, Kunlin Cao, Kai Ding, et al.. (2011). Three-dimensional characterization of regional lung deformation. Journal of Biomechanics. 44(13). 2489–2495. 65 indexed citations
17.
Kaczka, David W., Kunlin Cao, Gary E. Christensen, Jason H. T. Bates, & Brett A. Simon. (2010). Analysis of Regional Mechanics in Canine Lung Injury Using Forced Oscillations and 3D Image Registration. Annals of Biomedical Engineering. 39(3). 1112–1124. 63 indexed citations
18.
Ding, Kai, Youbing Yin, Kunlin Cao, et al.. (2009). Evaluation of Lobar Biomechanics during Respiration Using Image Registration. Lecture notes in computer science. 12(Pt 1). 739–746. 31 indexed citations
19.
Reinhardt, Joseph M., et al.. (2008). Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation. Medical Image Analysis. 12(6). 752–763. 240 indexed citations
20.
Reinhardt, Joseph M., Gary E. Christensen, Eric A. Hoffman, Kai Ding, & Kunlin Cao. (2007). Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation. Lecture notes in computer science. 20. 763–774. 27 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026