Chin A Yi

4.5k total citations
74 papers, 3.3k citations indexed

About

Chin A Yi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Chin A Yi has authored 74 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Pulmonary and Respiratory Medicine, 34 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Epidemiology. Recurrent topics in Chin A Yi's work include Lung Cancer Diagnosis and Treatment (32 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Medical Imaging Techniques and Applications (19 papers). Chin A Yi is often cited by papers focused on Lung Cancer Diagnosis and Treatment (32 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Medical Imaging Techniques and Applications (19 papers). Chin A Yi collaborates with scholars based in South Korea, United States and Ireland. Chin A Yi's co-authors include Kyung Soo Lee, Myung Jin Chung, O Jung Kwon, Byung‐Tae Kim, Joungho Han, Young Mog Shim, Hojoong Kim, Ho Yun Lee, Tae Sung Kim and Seonwoo Kim and has published in prestigious journals such as Cancer, Radiology and CHEST Journal.

In The Last Decade

Chin A Yi

74 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin A Yi South Korea 34 2.1k 1.5k 492 446 334 74 3.3k
Jeremy J. Erasmus United States 31 2.2k 1.1× 1.1k 0.7× 761 1.5× 497 1.1× 613 1.8× 90 3.6k
Gregory L. Aughenbaugh United States 22 1.9k 0.9× 978 0.7× 360 0.7× 301 0.7× 308 0.9× 37 2.7k
Masahiko Kusumoto Japan 36 4.2k 2.0× 1.8k 1.2× 594 1.2× 375 0.8× 1.2k 3.6× 215 5.4k
Fumikazu Sakai Japan 36 2.6k 1.2× 506 0.3× 574 1.2× 684 1.5× 412 1.2× 124 3.9k
Hidetake Yabuuchi Japan 31 797 0.4× 1.9k 1.3× 854 1.7× 269 0.6× 312 0.9× 168 3.5k
Saeed Mirsadraee United Kingdom 29 940 0.5× 1.1k 0.8× 792 1.6× 305 0.7× 245 0.7× 103 3.0k
Andrea Veltri Italy 29 1.2k 0.6× 767 0.5× 750 1.5× 492 1.1× 416 1.2× 136 3.0k
N L Müller Canada 34 3.0k 1.4× 948 0.6× 433 0.9× 436 1.0× 280 0.8× 52 4.2k
Hyun Ju Lee South Korea 28 1.6k 0.8× 780 0.5× 298 0.6× 198 0.4× 367 1.1× 83 2.3k
Keiko Kuriyama Japan 26 2.0k 1.0× 1.0k 0.7× 474 1.0× 303 0.7× 236 0.7× 96 2.9k

Countries citing papers authored by Chin A Yi

Since Specialization
Citations

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

Fields of papers citing papers by Chin A Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin A Yi. 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 Chin A Yi. The network helps show where Chin A Yi may publish in the future.

Co-authorship network of co-authors of Chin A Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Chin A Yi. A scholar is included among the top collaborators of Chin A Yi 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 Chin A Yi. Chin A Yi 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.
Moon, Jung Won, et al.. (2023). Predicting Non-Small-Cell Lung Cancer Survival after Curative Surgery via Deep Learning of Diffusion MRI. Diagnostics. 13(15). 2555–2555. 4 indexed citations
2.
Yi, Chin A, Kyung Soo Lee, Myung‐Hee Shin, et al.. (2015). Low-dose CT screening in an Asian population with diverse risk for lung cancer: A retrospective cohort study. European Radiology. 25(8). 2335–2345. 22 indexed citations
3.
4.
Lim, Hyun-ju, Soomin Ahn, Kyung Soo Lee, et al.. (2013). Persistent Pure Ground-Glass Opacity Lung Nodules ≥ 10 mm in Diameter at CT Scan. CHEST Journal. 144(4). 1291–1299. 198 indexed citations
5.
6.
Choudhury, Kingshuk Roy, David S. Paik, Chin A Yi, et al.. (2010). Assessing operating characteristics of CAD algorithms in the absence of a gold standard. Medical Physics. 37(4). 1788–1795. 3 indexed citations
7.
Lee, Ho Yun, Kyung Soo Lee, Myung‐Ju Ahn, et al.. (2010). New CT response criteria in non-small cell lung cancer: Proposal and application in EGFR tyrosine kinase inhibitor therapy. Lung Cancer. 73(1). 63–69. 44 indexed citations
8.
Yi, Chin A, Tae Sung Kim, Hojoong Kim, et al.. (2010). CT Scan Features as Predictors of Patient Outcome After Bronchial Intervention in Endobronchial TB. CHEST Journal. 138(2). 380–385. 30 indexed citations
9.
Chung, Man Pyo, Chin A Yi, Ho Yun Lee, Joungho Han, & Kyung Soo Lee. (2010). Imaging of Pulmonary Vasculitis. Radiology. 255(2). 322–341. 74 indexed citations
10.
Yi, Chin A, Dae‐Soon Son, Jinseon Lee, et al.. (2008). Prediction of lymph node metastasis using the combined criteria of helical CT and mRNA expression profiling for non-small cell lung cancer. Lung Cancer. 60(2). 264–270. 8 indexed citations
11.
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
12.
Lee, Kyung Soo, Chin A Yi, Yeon Joo Jeong, et al.. (2007). Solid or Partly Solid Solitary Pulmonary Nodules. CHEST Journal. 131(5). 1516–1525. 35 indexed citations
13.
Kim, Yoon Kyung, Kyung Soo Lee, Byung‐Tae Kim, et al.. (2007). Mediastinal nodal staging of nonsmall cell lung cancer using integrated 18F‐FDG PET/CT in a tuberculosis‐endemic country. Cancer. 109(6). 1068–1077. 111 indexed citations
14.
Kim, Yoon Kyung, Kyung Soo Lee, Man Pyo Chung, et al.. (2007). Pulmonary involvement in Churg-Strauss syndrome: an analysis of CT, clinical, and pathologic findings. European Radiology. 17(12). 3157–3165. 56 indexed citations
15.
16.
Chong, Semin, Kyung Soo Lee, Ha Young Kim, et al.. (2006). Integrated PET-CT for the Characterization of Adrenal Gland Lesions in Cancer Patients: Diagnostic Efficacy and Interpretation Pitfalls. Radiographics. 26(6). 1811–1824. 93 indexed citations
17.
Chong, Semin, Kyung Soo Lee, Chin A Yi, et al.. (2006). Pulmonary fungal infection: Imaging findings in immunocompetent and immunocompromised patients. European Journal of Radiology. 59(3). 371–383. 51 indexed citations
18.
Yi, Chin A, Kyung Soo Lee, Yeon Hyeon Choe, et al.. (2004). Computed Tomography in Pulmonary Artery Sarcoma. Journal of Computer Assisted Tomography. 28(1). 34–39. 109 indexed citations
19.
Sung, Yon Mi, Kyung Soo Lee, Chin A Yi, et al.. (2003). Additional Coronal Images Using Low-Milliamperage Multidetector-Row Computed Tomography: Effectiveness in the Diagnosis of Bronchiectasis. Journal of Computer Assisted Tomography. 27(4). 490–495. 6 indexed citations
20.
Na, Dong Gyu, Jae Wook Ryoo, Kwang Ho Lee, et al.. (2003). Multiphasic Perfusion Computed Tomography in Hyperacute Ischemic Stroke: Comparison with Diffusion and Perfusion Magnetic Resonance Imaging. Journal of Computer Assisted Tomography. 27(2). 194–206. 23 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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