Songjing Chen

415 total citations
5 papers, 244 citations indexed

About

Songjing Chen is a scholar working on Pulmonary and Respiratory Medicine, Speech and Hearing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Songjing Chen has authored 5 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Speech and Hearing and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Songjing Chen's work include Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Songjing Chen is often cited by papers focused on Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Songjing Chen collaborates with scholars based in China. Songjing Chen's co-authors include and has published in prestigious journals such as Journal of Medical Internet Research, BMC Cancer and BMC Medical Informatics and Decision Making.

In The Last Decade

Songjing Chen

5 papers receiving 232 citations

Peers

Songjing Chen
Jan-Noël Thon Germany
William F. Woods United States
Carol O’Sullivan United Kingdom
Lee Luan Ng Malaysia
Chris Christie United Kingdom
Sohaib Alam Saudi Arabia
Thomas de Lange Norway
Ali Alasmari Saudi Arabia
Masood Khoshsaligheh Iran
Sumbo Tinarbuko Indonesia
Jan-Noël Thon Germany
Songjing Chen
Citations per year, relative to Songjing Chen Songjing Chen (= 1×) peers Jan-Noël Thon

Countries citing papers authored by Songjing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Songjing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

No nodes

All Works

5 of 5 papers shown
1.
Chen, Songjing, et al.. (2025). Ensemble machine learning models for lung cancer incidence risk prediction in the elderly: a retrospective longitudinal study. BMC Cancer. 25(1). 126–126. 2 indexed citations
2.
Chen, Songjing, et al.. (2022). Deep Q-networks with web-based survey data for simulating lung cancer intervention prediction and assessment in the elderly: a quantitative study. BMC Medical Informatics and Decision Making. 22(1). 1–1. 53 indexed citations
3.
Chen, Songjing, et al.. (2020). Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data. Journal of Medical Internet Research. 22(3). e17695–e17695. 25 indexed citations
4.
Chen, Songjing, et al.. (2019). Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender. International Journal of Environmental Health Research. 30(4). 435–446. 11 indexed citations
5.
Chen, Songjing. (2014). Reading visual narratives: image analysis of children's picture books. Social Semiotics. 24(5). 623–627. 153 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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