Long-Lin Yin

424 total citations
22 papers, 295 citations indexed

About

Long-Lin Yin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Long-Lin Yin has authored 22 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Long-Lin Yin's work include Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (7 papers) and Colorectal Cancer Surgical Treatments (3 papers). Long-Lin Yin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (7 papers) and Colorectal Cancer Surgical Treatments (3 papers). Long-Lin Yin collaborates with scholars based in China, United States and Hong Kong. Long-Lin Yin's co-authors include Hong Pu, Yuting Wang, Jing Fu, Yi Li, Luo Hong, Yamei Li, Yingchun Li, Tian‐wu Chen, En-sen Ma and Peng-Qiu Min and has published in prestigious journals such as Scientific Reports, American Journal of Roentgenology and Oncotarget.

In The Last Decade

Long-Lin Yin

21 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long-Lin Yin China 10 124 101 49 48 44 22 295
Onur Sıldıroğlu Türkiye 10 34 0.3× 159 1.6× 73 1.5× 6 0.1× 30 0.7× 31 313
Chieh‐Ju Chao United States 13 107 0.9× 217 2.1× 10 0.2× 7 0.1× 76 1.7× 50 506
Claudia Kunze Germany 11 86 0.7× 160 1.6× 3 0.1× 40 0.8× 118 2.7× 21 436
Han-Bin Lee South Korea 8 42 0.3× 29 0.3× 10 0.2× 40 0.8× 124 2.8× 12 255
Marco Merlo Italy 10 21 0.2× 77 0.8× 10 0.2× 6 0.1× 36 0.8× 48 394
Gabriela Trifan United States 11 38 0.3× 29 0.3× 5 0.1× 25 0.5× 163 3.7× 30 394
Qianqian Cheng China 11 13 0.1× 39 0.4× 88 1.8× 21 0.4× 152 3.5× 22 344
Stefan Puchner Austria 12 41 0.3× 147 1.5× 25 0.5× 4 0.1× 17 0.4× 22 375
Vladimír Kincl Czechia 9 97 0.8× 59 0.6× 31 0.6× 5 0.1× 42 1.0× 43 378
Emilien Micard France 10 297 2.4× 83 0.8× 9 0.2× 6 0.1× 21 0.5× 27 464

Countries citing papers authored by Long-Lin Yin

Since Specialization
Citations

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

Fields of papers citing papers by Long-Lin Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long-Lin Yin. 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 Long-Lin Yin. The network helps show where Long-Lin Yin may publish in the future.

Co-authorship network of co-authors of Long-Lin Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Long-Lin Yin. A scholar is included among the top collaborators of Long-Lin Yin 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 Long-Lin Yin. Long-Lin Yin 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.
Zheng, Shuang, Wenao Ma, Lin Mu, et al.. (2025). CT-based artificial intelligence system complementing deep learning model and radiologist for liver fibrosis staging. iScience. 28(4). 112224–112224.
2.
Gao, Jiahao, et al.. (2025). A three-classification machine learning model for non-invasive prediction of molecular subtypes in diffuse glioma: a two-center study. Quantitative Imaging in Medicine and Surgery. 15(6). 5752–5768. 1 indexed citations
3.
Han, Fang, Jiahao Gao, Jing Yang, et al.. (2024). Clinically Available and Reproducible Prediction Models for IDH and CDKN2A/B Gene Status in Adult-type Diffuse Gliomas. Academic Radiology. 31(12). 5164–5174. 4 indexed citations
4.
Li, Hang, Li Chai, Hong Pu, et al.. (2024). T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer. Insights into Imaging. 15(1). 57–57. 8 indexed citations
5.
Liu, Dan, et al.. (2023). Longitudinal course of hyperintensity on diffusion weighted imaging in adult-onset neuronal intranuclear inclusion disease patients. Frontiers in Neurology. 14. 1178307–1178307. 1 indexed citations
6.
Gao, Jiahao, et al.. (2023). Diagnostic performance of prediction models for extraprostatic extension in prostate cancer: a systematic review and meta-analysis. Insights into Imaging. 14(1). 140–140. 5 indexed citations
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Wang, Yuting, Yan Xiong, Hong Pu, & Long-Lin Yin. (2018). In vivo evaluation of early renal damage in type 2 diabetic patients on 3.0 T MR diffusion tensor imaging. World Journal of Radiology. 10(8). 83–90. 4 indexed citations
12.
Cheng, Xueqing, et al.. (2017). Adhesive Capsulitis of the Shoulder: Evaluation With US-Arthrography Using a Sonographic Contrast Agent. Scientific Reports. 7(1). 5551–5551. 29 indexed citations
13.
Wang, Yuting, et al.. (2017). Clinical risk stratification of acute pulmonary embolism: comparing the usefulness of CTA obstruction score and pulmonary perfusion defect score with dual-energy CT. International journal of cardiac imaging. 33(12). 2039–2047. 15 indexed citations
14.
Wang, Yuting, et al.. (2017). Diffusion tensor imaging beyond brains: Applications in abdominal and pelvic organs. World Journal of Meta-Analysis. 5(3). 71–71. 2 indexed citations
15.
Li, Hang, Xiaoli Chen, Zhenlin Li, et al.. (2016). Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories. Clinics. 71(4). 199–204. 4 indexed citations
16.
Wang, Yuting, Yingchun Li, Long-Lin Yin, & Hong Pu. (2016). Can Diffusion-weighted Magnetic Resonance Imaging Predict Survival in Patients with Cervical Cancer? A Meta-Analysis. European Journal of Radiology. 85(12). 2174–2181. 30 indexed citations
17.
Yin, Long-Lin, et al.. (2013). [Comparative analysis of dual resource computed tomography angiography and 3.0T magnetic resonance angiography in the diagnosis of intracranial aneurysms].. PubMed. 30(5). 993–8. 1 indexed citations
18.
Yin, Long-Lin, et al.. (2008). [Preliminary study of tumor perfusion assessment with multidetector CT in carcinoma of esophagus and cardia].. PubMed. 39(5). 788–91. 2 indexed citations
19.
Yin, Long-Lin, Bin Song, Juan Xu, & Yingchun Li. (2007). Hilar cholangiocarcinoma: preoperative evaluation with a three dimensional volumetric interpolated breath-hold examination magnetic resonance imaging sequence. Chinese Medical Journal. 120(8). 636–642. 10 indexed citations
20.
Guo, Yingkun, Zhi‐gang Yang, Yuan Li, et al.. (2006). Addison's disease due to adrenal tuberculosis: Contrast-enhanced CT features and clinical duration correlation. European Journal of Radiology. 62(1). 126–131. 58 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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