Kai Yang

3.3k total citations
138 papers, 2.5k citations indexed

About

Kai Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kai Yang has authored 138 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Radiology, Nuclear Medicine and Imaging, 72 papers in Biomedical Engineering and 65 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kai Yang's work include Advanced X-ray and CT Imaging (70 papers), Medical Imaging Techniques and Applications (64 papers) and Radiation Dose and Imaging (54 papers). Kai Yang is often cited by papers focused on Advanced X-ray and CT Imaging (70 papers), Medical Imaging Techniques and Applications (64 papers) and Radiation Dose and Imaging (54 papers). Kai Yang collaborates with scholars based in United States, China and Germany. Kai Yang's co-authors include John M. Boone, Alexander L. C. Kwan, Karen K. Lindfors, Bob Liu, Thomas R. Nelson, Nathan J. Packard, George W. Burkett, Madan M. Rehani, Xinhua Li and Simon Yiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Kai Yang

132 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Yang United States 26 1.9k 1.3k 1.0k 498 241 138 2.5k
Bob Liu United States 28 1.7k 0.9× 1.2k 1.0× 697 0.7× 330 0.7× 116 0.5× 133 2.7k
J. Anthony Seibert United States 29 1.7k 0.9× 1.2k 1.0× 1.1k 1.0× 306 0.6× 245 1.0× 70 2.3k
Srinivasan Vedantham United States 29 1.6k 0.8× 978 0.8× 1.6k 1.6× 294 0.6× 471 2.0× 141 2.6k
Geoffrey Zhang United States 28 2.3k 1.2× 825 0.7× 1.5k 1.5× 1.5k 3.1× 236 1.0× 100 3.1k
Isaac Shiri Switzerland 36 2.9k 1.5× 1.4k 1.1× 860 0.8× 299 0.6× 544 2.3× 174 3.6k
Andrew Karellas United States 33 2.1k 1.1× 1.4k 1.1× 2.0k 1.9× 394 0.8× 760 3.2× 143 3.9k
Sabee Molloi United States 31 2.1k 1.1× 1.4k 1.1× 834 0.8× 194 0.4× 191 0.8× 189 3.1k
George Panayiotakis Greece 29 1.8k 0.9× 1.2k 0.9× 1.0k 1.0× 1.0k 2.0× 395 1.6× 220 3.3k
Adam Alessio United States 34 2.9k 1.5× 1.3k 1.0× 487 0.5× 937 1.9× 74 0.3× 165 3.5k
Tianye Niu China 29 2.6k 1.4× 1.4k 1.1× 782 0.8× 453 0.9× 217 0.9× 139 3.2k

Countries citing papers authored by Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yang. A scholar is included among the top collaborators of Kai Yang 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 Kai Yang. Kai Yang 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.
Turner, Helen, et al.. (2025). The effect of both tube diameter and irrigation volume on retained HEMOTHORAX after thoracic irrigation in swine. The Journal of Trauma: Injury, Infection, and Critical Care. 99(5). 703–708.
2.
Lu, Guangyu, Enyu Xu, Pengpeng Xia, et al.. (2025). Environmental, socioeconomic, and sociocultural drivers of monkeypox transmission in the Democratic Republic of the Congo: a One Health perspective. Infectious Diseases of Poverty. 14(1). 7–7.
3.
Yang, Kai, Yi Wang, Yongfang Wang, et al.. (2024). Insights into the discovery and intervention of metalloproteinase in marine hazardous jellyfish. Journal of Hazardous Materials. 472. 134526–134526. 8 indexed citations
4.
5.
Li, Xinhua, et al.. (2023). Cumulative radiation exposure from multimodality recurrent imaging of CT, fluoroscopically guided intervention, and nuclear medicine. European Radiology. 34(6). 3719–3729. 7 indexed citations
6.
Li, Xinhua, Kai Yang, Sjirk J. Westra, & Bob Liu. (2021). Fetal dose evaluation for body CT examinations of pregnant patients during all stages of pregnancy. European Journal of Radiology. 141. 109780–109780. 2 indexed citations
7.
8.
Yang, Kai, Craig K. Abbey, Shinn‐Huey S. Chou, et al.. (2021). Power Spectrum Analysis of Breast Parenchyma with Digital Breast Tomosynthesis Images in a Longitudinal Screening Cohort from Two Vendors. Academic Radiology. 29(6). 841–850. 3 indexed citations
9.
Hemke, Robert, Kai Yang, Jad S. Husseini, Miriam A. Bredella, & F. Joseph Simeone. (2019). Organ dose and total effective dose of whole-body CT in multiple myeloma patients. Skeletal Radiology. 49(4). 549–554. 15 indexed citations
10.
Yang, Kai, Chun Ruan, Xinhua Li, & Bob Liu. (2019). Data of CT bow tie filter profiles from three modern CT scanners. SHILAP Revista de lepidopterología. 25. 104261–104261. 10 indexed citations
11.
Li, Xinhua, Kai Yang, & Bob Liu. (2016). A study of the midpoint dose to CTDIvol ratio: Implications for CT dose evaluation. Medical Physics. 43(11). 5878–5888. 8 indexed citations
12.
Tyagi, Neelam, Kai Yang, & Di Yan. (2014). Comparing measurement‐derived (3DVH) and machine log file‐derived dose reconstruction methods for VMAT QA in patient geometries. Journal of Applied Clinical Medical Physics. 15(4). 54–66. 28 indexed citations
13.
Chaudhari, Abhijit J., Anand A. Joshi, Andrea Ferrero, et al.. (2014). Non-rigid registration of serial dedicated breast CT, longitudinal dedicated breast CT and PET/CT images using the diffeomorphic demons method. Physica Medica. 30(6). 713–717. 13 indexed citations
14.
Yang, Kai, Di Yan, & Neelam Tyagi. (2012). Sensitivity analysis of physics and planning SmartArc parameters for single and partial arc VMAT planning. Journal of Applied Clinical Medical Physics. 13(6). 34–45. 15 indexed citations
15.
Coleri, Erdem, John Harvey, Kai Yang, & John M. Boone. (2012). Investigation of Aggregate Movement and Air-Void Reduction on Heavy Vehicle Simulator Test Sections by Computed Tomography Imaging. Transportation Research Board 91st Annual MeetingTransportation Research Board. 1 indexed citations
16.
Yang, Kai, et al.. (2012). A semiempirical linear model of indirect, flat‐panel x‐ray detectors. Medical Physics. 39(4). 2108–2118. 4 indexed citations
17.
Boone, John M., Kai Yang, Nathan J. Packard, et al.. (2011). The characterization of breast anatomical metrics using dedicated breast CT. Medical Physics. 38(4). 2180–2191. 91 indexed citations
18.
Lo, Joseph Y., et al.. (2008). Dedicated breast computed tomography: Volume image denoising via a partial‐diffusion equation based technique. Medical Physics. 35(5). 1950–1958. 21 indexed citations
19.
Yang, Kai, et al.. (2006). A geometric calibration method for cone beam CT systems. Medical Physics. 33(6Part1). 1695–1706. 173 indexed citations
20.
Boone, John M., et al.. (2006). Computed Tomography for Imaging the Breast. Journal of Mammary Gland Biology and Neoplasia. 11(2). 103–111. 118 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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