Li-Wei Chen

604 total citations
51 papers, 377 citations indexed

About

Li-Wei Chen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Li-Wei Chen has authored 51 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 16 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Epidemiology. Recurrent topics in Li-Wei Chen's work include Lung Cancer Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Medical Imaging Techniques and Applications (4 papers). Li-Wei Chen is often cited by papers focused on Lung Cancer Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Medical Imaging Techniques and Applications (4 papers). Li-Wei Chen collaborates with scholars based in China, Taiwan and United States. Li-Wei Chen's co-authors include Chung‐Ming Chen, Shun‐Mao Yang, Mong‐Wei Lin, Min‐Shu Hsieh, Yi‐Chang Chen, Yeun‐Chung Chang, Jin‐Shing Chen, A. Hope Jahren, Cheryl A.M. Anderson and Lawrence J. Appel and has published in prestigious journals such as Journal of Clinical Oncology, The FASEB Journal and Journal of Nutrition.

In The Last Decade

Li-Wei Chen

48 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li-Wei Chen China 13 175 120 65 50 35 51 377
Cláudia Freitas Portugal 14 219 1.3× 170 1.4× 81 1.2× 60 1.2× 52 1.5× 42 509
Siegfried A. Schwab Germany 12 146 0.8× 217 1.8× 70 1.1× 61 1.2× 40 1.1× 31 488
Xiaohui Hao China 13 144 0.8× 56 0.5× 173 2.7× 58 1.2× 70 2.0× 45 590
Mircea-Sebastian Şerbănescu Romania 10 74 0.4× 118 1.0× 59 0.9× 25 0.5× 71 2.0× 90 422
Gabriela Quiroga‐Garza United States 10 161 0.9× 127 1.1× 60 0.9× 47 0.9× 84 2.4× 31 424
Arash Mohtashamian United States 4 120 0.7× 312 2.6× 40 0.6× 57 1.1× 63 1.8× 11 567
Dong Hyeon Kim South Korea 10 104 0.6× 189 1.6× 54 0.8× 23 0.5× 20 0.6× 39 410
Mingxin Zhang China 11 95 0.5× 41 0.3× 121 1.9× 78 1.6× 35 1.0× 25 330
Soo‐Youn Ham South Korea 9 123 0.7× 167 1.4× 25 0.4× 50 1.0× 54 1.5× 36 345
Truong Nguyen Khanh Hung Vietnam 11 67 0.4× 140 1.2× 127 2.0× 23 0.5× 35 1.0× 19 480

Countries citing papers authored by Li-Wei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Li-Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li-Wei Chen. 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 Li-Wei Chen. The network helps show where Li-Wei Chen may publish in the future.

Co-authorship network of co-authors of Li-Wei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Wei Chen. A scholar is included among the top collaborators of Li-Wei Chen 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 Li-Wei Chen. Li-Wei Chen 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.
Chen, Yi‐Chang, Wei‐Chieh Huang, Li-Wei Chen, et al.. (2025). Texture-embedded Generative Adversarial Nets for the synthesis of 3D pulmonary nodules computed tomography images. Expert Systems with Applications. 274. 126860–126860.
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Chen, Li-Wei, Mong‐Wei Lin, Kuan‐Yu Chen, et al.. (2024). Deep Learning Analysis for Predicting Tumor Spread through Air Space in Early-Stage Lung Adenocarcinoma Pathology Images. Cancers. 16(11). 2132–2132. 4 indexed citations
5.
Wang, Mengchao, et al.. (2023). Research progress of targeted therapy combined with immunotherapy for hepatocellular carcinoma. Frontiers in Oncology. 13. 1197698–1197698. 3 indexed citations
6.
Chen, Li-Wei, et al.. (2023). A New Method of Identifying the Prognostic Factors of Hepatocellular Carcinoma Patients. International Journal of Performability Engineering. 19(2). 85–85. 1 indexed citations
7.
Lin, Mong‐Wei, Li-Wei Chen, Shun‐Mao Yang, et al.. (2023). ASO Visual Abstract: CT-Based Deep Learning Model for Spread Through Air Spaces Prediction in Ground-Glass Predominant Lung Adenocarcinoma. Annals of Surgical Oncology. 31(3). 1597–1598. 1 indexed citations
8.
Lin, Mong‐Wei, Li-Wei Chen, Shun‐Mao Yang, et al.. (2023). CT-Based Deep-Learning Model for Spread-Through-Air-Spaces Prediction in Ground Glass-Predominant Lung Adenocarcinoma. Annals of Surgical Oncology. 31(3). 1536–1545. 15 indexed citations
9.
Kulkarni, Shruti, et al.. (2022). Distance of Residence From the Cancer Center Influences Perioperative Outcomes After Robotic-Assisted Pulmonary Lobectomy?. Cureus. 14(8). e28646–e28646. 1 indexed citations
10.
Liu, Dongming, Yi Luo, Lu Chen, et al.. (2021). Diagnostic value of 5 serum biomarkers for hepatocellular carcinoma with different epidemiological backgrounds: A large-scale, retrospective study. Cancer Biology and Medicine. 18(1). 256–270. 15 indexed citations
11.
Robert, Nicholas J., Janet L. Espirito, Li-Wei Chen, et al.. (2021). Biomarker tissue journey among patients (pts) with untreated metastatic non-small cell lung cancer (mNSCLC) in the U.S. Oncology Network community practices.. Journal of Clinical Oncology. 39(15_suppl). 9004–9004. 33 indexed citations
12.
Chen, Li-Wei, Mong‐Wei Lin, Min‐Shu Hsieh, et al.. (2021). Radiomic Values from High-Grade Subtypes to Predict Spread Through Air Spaces in Lung Adenocarcinoma. The Annals of Thoracic Surgery. 114(3). 999–1006. 13 indexed citations
13.
Jin, Xin, Li-Wei Chen, Ning Zhou, et al.. (2021). LRMP Associates With Immune Infiltrates and Acts as a Prognostic Biomarker in Lung Adenocarcinoma. Frontiers in Molecular Biosciences. 8. 711928–711928. 5 indexed citations
14.
Chen, Li-Wei, Shun‐Mao Yang, Yi‐Chang Chen, et al.. (2021). Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes. European Radiology. 31(7). 5127–5138. 29 indexed citations
15.
Chen, Bowei, et al.. (2019). Quantitative feature analysis of CT images of transbronchial dye markings mimicking true pulmonary ground-glass opacity lesions. Annals of Translational Medicine. 7(2). 29–29. 2 indexed citations
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Yang, Shun‐Mao, Ching‐Kai Lin, Li-Wei Chen, et al.. (2018). Combined virtual-assisted lung mapping (VAL-MAP) with CT-guided localization in thoracoscopic pulmonary segmentectomy. Asian Journal of Surgery. 42(3). 488–494. 15 indexed citations
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Cheng, Da‐Chuan, Li-Wei Chen, Yen‐Wen Shen, & Lih‐Jyh Fuh. (2016). Computer-assisted system on mandibular canal detection. Biomedizinische Technik/Biomedical Engineering. 62(6). 575–580. 2 indexed citations
20.
Hou, Wei, Qin Ni, Jian-er Wo, et al.. (2006). Inhibition of hepatitis B virus X gene expression by 10-23 DNAzymes. Antiviral Research. 72(3). 190–196. 20 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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