Chi Wan Koo

1.6k total citations
58 papers, 1.1k citations indexed

About

Chi Wan Koo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Chi Wan Koo has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pulmonary and Respiratory Medicine, 29 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Oncology. Recurrent topics in Chi Wan Koo's work include Lung Cancer Diagnosis and Treatment (25 papers), Medical Imaging Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Chi Wan Koo is often cited by papers focused on Lung Cancer Diagnosis and Treatment (25 papers), Medical Imaging Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Chi Wan Koo collaborates with scholars based in United States, Japan and China. Chi Wan Koo's co-authors include Brian J. Bartholmai, Ronald A. Karwoski, David S. Gierada, Joel G. Fletcher, Cynthia H. McCollough, Shuai Leng, Darin White, Ahmed F. Halaweish, Jayse Weaver and David J. Bartlett and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Chi Wan Koo

56 papers receiving 1.1k citations

Peers

Countries citing papers authored by Chi Wan Koo

Since Specialization

Citations

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

Fields of papers citing papers by Chi Wan Koo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Wan Koo. 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 Chi Wan Koo. The network helps show where Chi Wan Koo may publish in the future.

Co-authorship network of co-authors of Chi Wan Koo

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Wan Koo. A scholar is included among the top collaborators of Chi Wan Koo 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 Chi Wan Koo. Chi Wan Koo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Photon-counting CT in Thoracic Imaging: Early Clinical Evidence and Incorporation Into Clinical Practice 2024 ·Radiology ·Joel G. Fletcher, Akitoshi Inoue, (unknown), Kelly K. Horst, Chi Wan Koo, Prabhakar Rajiah, Francis Baffour, Jane P. Ko, Martine Rémy‐Jardin, Cynthia H. McCollough, Lifeng Yu	19
2	Long-term prognosis analysis of surgical therapy for bilateral synchronous multiple primary lung cancer: a follow-up of 293 cases 2024 ·Journal of Thoracic Disease ·Hui Zhang, Lian Chen, Feng Mao, (unknown), Masatsugu Hamaji, Yoshihisa Shimada, Chi Wan Koo, (unknown), (unknown), Shun Lü	1
3	Pulmonary Alveolar Microlithiasis in a Patient Requiring Allotransplant 2024 ·Mayo Clinic Proceedings ·(unknown), Chi Wan Koo, (unknown)	0
4	Combined Pulmonary Fibrosis and Emphysema 2023 ·Mayo Clinic Proceedings ·Masahiro Nemoto, Chi Wan Koo, Paul D. Scanlon, Jay H. Ryu	4
5	Good’s Syndrome: Thymoma with Acquired Immunodeficiency 2023 ·American Journal of Respiratory and Critical Care Medicine ·Chi Wan Koo, Ying‐Chun Lo	2
6	Predicting Usual Interstitial Pneumonia Histopathology From Chest CT Imaging With Deep Learning 2022 ·CHEST Journal ·(unknown), James Williams, Grace Liu, Ananya Panda, (unknown), (unknown), (unknown), Yasmeen K. Tandon, Christopher J. François, Daniel J. Blezek, Nicholas B. Larson, Bradley J. Erickson, Eunhee S. Yi, Teng Moua, Chi Wan Koo	29
7	Quantitative CT and machine learning classification of fibrotic interstitial lung diseases 2022 ·European Radiology ·Chi Wan Koo, (unknown), Grace Liu, Ananya Panda, (unknown), (unknown), Ronald A. Karwoski, Teng Moua, Nicholas B. Larson, (unknown)	8
8	Is the combination of bilateral pulmonary nodules and mosaic attenuation on chest CT specific for DIPNECH? 2021 ·Orphanet Journal of Rare Diseases ·(unknown), Chi Wan Koo, Eunhee S. Yi, Jay H. Ryu	3
9	Putting artificial intelligence (AI) on the spot: machine learning evaluation of pulmonary nodules 2020 ·Journal of Thoracic Disease ·Yasmeen K. Tandon, Brian J. Bartholmai, Chi Wan Koo	32
10	Breathe New Life Into Your Chest CT Exams: Using Advanced Acquisition and Postprocessing Techniques 2018 ·Current Problems in Diagnostic Radiology ·(unknown), Chi Wan Koo, Lifeng Yu, Brian J. Bartholmai, Ahmed F. Halaweish, Cynthia H. McCollough, Joel G. Fletcher	5
11	High-Resolution Chest Computed Tomography Imaging of the Lungs 2018 ·Investigative Radiology ·David J. Bartlett, Chi Wan Koo, Brian J. Bartholmai, Kishore Rajendran, Jayse Weaver, Ahmed F. Halaweish, Shuai Leng, Cynthia H. McCollough, Joel G. Fletcher	123
12	Combined pulmonary fibrosis and emphysema as a clinicoradiologic entity: Characterization of presenting lung fibrosis and implications for survival 2018 ·Respiratory Medicine ·(unknown), Federica De Giacomi, Faria Nasim, Chi Wan Koo, Brian J. Bartholmai, David L. Levin, Teng Moua	32
13	Prospective Pilot Evaluation of Radiologists and Computer-aided Pulmonary Nodule Detection on Ultra–low-Dose CT With Tin Filtration 2018 ·Journal of Thoracic Imaging ·Edwin A. Takahashi, Chi Wan Koo, Darin White, Rebecca M. Lindell, (unknown), David L. Levin, Ronald S. Kuzo, Matthias Wolf, Luca Bogoni, Rickey E. Carter, Cynthia H. McCollough, Joel G. Fletcher	21
14	Lung Adenocarcinoma: Correlation of Quantitative CT Findings with Pathologic Findings 2016 ·Radiology ·Jane P. Ko, James Suh, (unknown), Joanna G. Escalon, Jinyu Li, Harvey I. Pass, David P. Naidich, Bernard Crawford, Emily B. Tsai, Chi Wan Koo, Artem Mikheev, Henry Rusinek	68
15	Evaluation of a projection-domain lung nodule insertion technique in thoracic CT 2016 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Chi Ma, Baiyu Chen, Chi Wan Koo, Edwin A. Takahashi, Joel G. Fletcher, Cynthia H. McCollough, David L. Levin, Ronald S. Kuzo, (unknown), (unknown), Shuai Leng, Lifeng Yu	5
16	Pulmonary Nodule Characterization, Including Computer Analysis and Quantitative Features 2015 ·Journal of Thoracic Imaging ·Brian J. Bartholmai, Chi Wan Koo, Geoffrey B. Johnson, Darin White, Sushravya Raghunath, Srinivasan Rajagopalan, Michael R. Moynagh, Rebecca M. Lindell, Thomas E. Hartman	42
17	Magnetic Resonance Imaging of Part-solid Nodules 2015 ·Journal of Thoracic Imaging ·Chi Wan Koo, Darin White, Ravi K. Lingineni, Tobias Peikert, Kiaran P. McGee, Eric E. Sigmund, (unknown), Rickey E. Carter, Anne-Marie Sykes	4
18	A tale of two sisters: Biomass fuel exposure-related lung disease 2010 ·Clinical Radiology ·Chi Wan Koo, (unknown), Jeffrey P. Baliff, Kristin Hudock, Andrew R. Haas	3
19	Incidental Detection of Clinically Occult Pituitary Adenoma on Whole-Body FDG PET Imaging 2005 ·Clinical Nuclear Medicine ·Chi Wan Koo, Peeyush Bhargava, (unknown), Munir Ghesani, (unknown), Nolan J. Kagetsu	26
20	Stratifying Differences on Ictal/Interictal Subtraction SPECT Images 2003 ·Epilepsia ·Chi Wan Koo, Orrin Devinsky, (unknown), (unknown), Marilyn E. Noz, Elissa L. Kramer	13

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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