Xinglin Yi

1.1k total citations
11 papers, 30 citations indexed

About

Xinglin Yi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Xinglin Yi has authored 11 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Xinglin Yi's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Renal cell carcinoma treatment (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Xinglin Yi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Renal cell carcinoma treatment (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Xinglin Yi collaborates with scholars based in China. Xinglin Yi's co-authors include Xiangdong Zhou, G.H. Tang, Yu Zhang, Li Luo, Shuai Jin, Hu Luo, Yong Wang, Ke Rong, Zhe Tang and Yuhan Zhang and has published in prestigious journals such as Scientific Reports, Frontiers in Oncology and Journal of Translational Medicine.

In The Last Decade

Xinglin Yi

8 papers receiving 30 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinglin Yi China 3 21 6 4 4 4 11 30
N. Avitzur Canada 3 17 0.8× 2 0.3× 5 1.3× 3 0.8× 2 0.5× 6 29
Hélène Lafoeste France 4 18 0.9× 5 0.8× 5 1.3× 7 1.8× 5 32
Junichi Ochi Japan 3 19 0.9× 7 1.2× 6 1.5× 1 0.3× 3 0.8× 8 23
Avram Walts United States 3 27 1.3× 5 0.8× 2 0.5× 4 31
Alexander Anagnostopoulos Canada 3 5 0.2× 10 1.7× 3 0.8× 2 0.5× 2 0.5× 6 30
Melissa Fernando United States 3 12 0.6× 4 0.7× 2 0.5× 1 0.3× 3 37
Cristina Rabasco Spain 4 9 0.4× 4 0.7× 1 0.3× 2 0.5× 2 0.5× 6 27
Concepción Prados Sánchez Spain 4 26 1.2× 2 0.3× 1 0.3× 2 0.5× 3 0.8× 12 29
Kuan Sen Tee Singapore 2 30 1.4× 3 0.8× 3 0.8× 1 0.3× 4 35
Clara Podmore Switzerland 3 5 0.2× 4 0.7× 8 2.0× 2 0.5× 5 33

Countries citing papers authored by Xinglin Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xinglin Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinglin Yi

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

All Works

11 of 11 papers shown
1.
Yi, Xinglin, et al.. (2025). Post-genome-wide association study dissects genetic vulnerability and risk gene expression of Sjögren’s disease for cardiovascular disease. Journal of Translational Medicine. 23(1). 531–531. 2 indexed citations
2.
Yi, Xinglin, et al.. (2025). Genomic structural equation modeling elucidates the shared genetic architecture of allergic disorders. Journal of Translational Medicine. 23(1). 445–445.
3.
4.
Zhang, Yuhan, Xinglin Yi, Zhe Tang, et al.. (2023). Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study. Frontiers in Public Health. 11. 1104931–1104931. 3 indexed citations
5.
Yi, Xinglin, Yuhan Zhang, Juan Cai, et al.. (2023). Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study. International Journal of Clinical Practice. 2023. 1–13.
6.
Yi, Xinglin, et al.. (2023). Novel model for cancer-specific survival of patients with pulmonary sarcomatoid carcinoma: A population-based analysis and external validation. Asian Journal of Surgery. 47(1). 184–194. 1 indexed citations
7.
Jin, Shuai, et al.. (2023). Prediction of lung papillary adenocarcinoma-specific survival using ensemble machine learning models. Scientific Reports. 13(1). 14827–14827. 3 indexed citations
8.
Yi, Xinglin, et al.. (2023). Current status, trends, and predictions in the burden of silicosis in 204 countries and territories from 1990 to 2019. Frontiers in Public Health. 11. 1216924–1216924. 16 indexed citations
9.
Hu, Xueting, et al.. (2023). Study on the application of percutaneous closed pleural brushing combined with cell block technique in the diagnosis of malignant pleural effusion. The Clinical Respiratory Journal. 18(1). e13705–e13705. 1 indexed citations
10.
Yi, Xinglin, et al.. (2023). Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study. Cancer Medicine. 13(1). e6794–e6794. 2 indexed citations
11.

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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