Cheng Ting Lin

4.2k total citations
92 papers, 2.5k citations indexed

About

Cheng Ting Lin is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Cheng Ting Lin has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pulmonary and Respiratory Medicine, 28 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Epidemiology. Recurrent topics in Cheng Ting Lin's work include Lung Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and COVID-19 diagnosis using AI (8 papers). Cheng Ting Lin is often cited by papers focused on Lung Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and COVID-19 diagnosis using AI (8 papers). Cheng Ting Lin collaborates with scholars based in United States, China and Canada. Cheng Ting Lin's co-authors include Liwu Liu, Jinsong Leng, Yanju Liu, Jarushka Naidoo, Sonye K. Danoff, Karthik Suresh, Paul H. Yi, Jinrong Li, Fenghua Zhang and Yuanshi Li and has published in prestigious journals such as Nature Medicine, Gastroenterology and Advanced Functional Materials.

In The Last Decade

Cheng Ting Lin

86 papers receiving 2.4k citations

Peers

Cheng Ting Lin

PRM

RNMI

ONCOL

Hideo Kobayashi Japan

Jin Woong Kim South Korea

Gerjon Hannink Netherlands

Hwa Liang Leo Singapore

Xiaobo Chen China

Peng Xu China

Weiqiang Wang China

Dong Wook Kim South Korea

Helga Bergmeister Austria

Chunhui Li China

Hideo Kobayashi Japan

Cheng Ting Lin

801 ×1.1

PRM

493 ×1.0

196 ×0.4

RNMI

250 ×0.5

ONCOL

361 ×0.9

Citations per year, relative to Cheng Ting Lin Cheng Ting Lin (= 1×) peers Hideo Kobayashi

Countries citing papers authored by Cheng Ting Lin

Since Specialization

Citations

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

Fields of papers citing papers by Cheng Ting Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng Ting Lin. 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 Cheng Ting Lin. The network helps show where Cheng Ting Lin may publish in the future.

Co-authorship network of co-authors of Cheng Ting Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ting Lin. A scholar is included among the top collaborators of Cheng Ting Lin 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 Cheng Ting Lin. Cheng Ting Lin 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

Wang, Yuli, Sun Ho Ahn, Christopher J. Mullin, et al.. (2025). Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA. Medical Image Analysis. 107(Pt A). 103786–103786.

Lin, Cheng Ting, et al.. (2025). The hybrid model of domain knowledge, symbolic regression and neural networks for multiaxial fatigue life prediction. International Journal of Fatigue. 202. 109246–109246.

Kunitomo, Yukiko, Han Woo, Aparna Balasubramanian, et al.. (2024). Longitudinal anemia status and risk for adverse outcomes in former smokers with COPD. Respiratory Research. 25(1). 437–437.

Zeng, Chengjun, Liwu Liu, Xiaozhou Xin, et al.. (2024). 4D printed bio-inspired mesh composite materials with high stretchability and reconfigurability. Composites Science and Technology. 249. 110503–110503. 23 indexed citations

Saria, Suchi, et al.. (2024). Care to Explain? AI Explanation Types Differentially Impact Chest Radiograph Diagnostic Performance and Physician Trust in AI. Radiology. 313(2). e233261–e233261. 14 indexed citations

Lin, Cheng Ting, Zhipeng Huang, Qinglong Wang, et al.. (2023). Mass-producible near-body temperature-triggered 4D printed shape memory biocomposites and their application in biomimetic intestinal stents. Composites Part B Engineering. 256. 110623–110623. 39 indexed citations

Haver, Hana L., Cheng Ting Lin, Arlene Sirajuddin, Paul H. Yi, & Jean Jeudy. (2023). Evaluating ChatGPT's Accuracy in Lung Cancer Prevention and Screening Recommendations. Radiology Cardiothoracic Imaging. 5(4). e230115–e230115. 10 indexed citations

Voong, Khinh Ranh, Peter B. Illei, Dipika Singh, et al.. (2023). Ablative radiation alone in stage I lung cancer produces an adaptive systemic immune response: insights from a prospective study. Journal for ImmunoTherapy of Cancer. 11(10). e007188–e007188. 4 indexed citations

Li, David, Cheng Ting Lin, Jeremias Sulam, & Paul H. Yi. (2022). Deep learning prediction of sex on chest radiographs: a potential contributor to biased algorithms. Emergency Radiology. 29(2). 365–370. 10 indexed citations

10.

Sólnes, Lilja B., et al.. (2022). Conference Attendance Tracking and Evaluation in the Era of Virtual Conferences. Academic Radiology. 29. S76–S81. 1 indexed citations

11.

Fawzy, Ashraf, Nirupama Putcha, Sarath Raju, et al.. (2022). Urine and Plasma Markers of Platelet Activation and Respiratory Symptoms in COPD. Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation. 10(1). 22–32. 9 indexed citations

12.

Tiniakou, Eleni, Christopher A. Mecoli, William G. Kelly, et al.. (2022). Anti-MDA5-positive dermatomyositis and remission in a single referral centre population. Clinical and Experimental Rheumatology. 41(2). 309–315. 10 indexed citations

13.

Albayda, Jemima, Christopher A. Mecoli, Livia Casciola‐Rosen, et al.. (2021). A North American Cohort of Anti‐SAE Dermatomyositis: Clinical Phenotype, Testing, and Review of Cases. ACR Open Rheumatology. 3(5). 287–294. 32 indexed citations

14.

Chen, Xuguang, Khadija Sheikh, Erica C. Nakajima, et al.. (2021). Radiation Versus Immune Checkpoint Inhibitor Associated Pneumonitis: Distinct Radiologic Morphologies. The Oncologist. 26(10). e1822–e1832. 39 indexed citations

15.

Dedrick, Rebekah M., Krista G. Freeman, Asli Bahadirli-Talbott, et al.. (2021). Potent antibody-mediated neutralization limits bacteriophage treatment of a pulmonary Mycobacterium abscessus infection. Nature Medicine. 27(8). 1357–1361. 134 indexed citations

16.

Lin, Cheng Ting, Liwu Liu, Yanju Liu, & Jinsong Leng. (2021). Recent developments in next-generation occlusion devices. Acta Biomaterialia. 128. 100–119. 26 indexed citations

17.

Yi, Paul H., et al.. (2020). Can AI outperform a junior resident? Comparison of deep neural network to first-year radiology residents for identification of pneumothorax. Emergency Radiology. 27(4). 367–375. 33 indexed citations

18.

Kim, Tae Kyung, Paul H. Yi, Gregory D. Hager, & Cheng Ting Lin. (2020). Refining dataset curation methods for deep learning-based automated tuberculosis screening. Journal of Thoracic Disease. 12(9). 5078–5085. 24 indexed citations

19.

Huapaya, J.A., Robert W. Hallowell, Leann Silhan, et al.. (2019). Long-term treatment with human immunoglobulin for antisynthetase syndrome-associated interstitial lung disease. Respiratory Medicine. 154. 6–11. 34 indexed citations

20.

Zimmerman, Stefan L., Cheng Ting Lin, Linda C. Chu, John Eng, & Elliot K. Fishman. (2016). Remote reading of coronary CTA exams using a tablet computer: utility for stenosis assessment and identification of coronary anomalies. Emergency Radiology. 23(3). 255–261. 4 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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