Jiaxi Lin

435 total citations
35 papers, 247 citations indexed

About

Jiaxi Lin is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jiaxi Lin has authored 35 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in Jiaxi Lin's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Jiaxi Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Jiaxi Lin collaborates with scholars based in China. Jiaxi Lin's co-authors include Jinzhou Zhu, Minyue Yin, Jingwen Gao, Shiqi Zhu, Chunfang Xu, Lu Liu, Xiaolin Liu, Chun‐Fang Xu, Wei Xu and Lu Liu and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Jiaxi Lin

28 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaxi Lin China 9 58 54 48 47 45 35 247
Yu‐Ru Su United States 11 50 0.9× 43 0.8× 22 0.5× 45 1.0× 80 1.8× 22 268
Mustafa Barış Türkiye 9 68 1.2× 92 1.7× 28 0.6× 18 0.4× 37 0.8× 26 281
Laura Andreea Ghenciu Romania 10 34 0.6× 56 1.0× 39 0.8× 29 0.6× 25 0.6× 40 232
Suraj K. Jaladanki United States 9 43 0.7× 21 0.4× 133 2.8× 23 0.5× 98 2.2× 19 393
Yura Ahn South Korea 10 47 0.8× 163 3.0× 39 0.8× 24 0.5× 48 1.1× 51 353
Numan Kutaiba Australia 9 48 0.8× 48 0.9× 6 0.1× 24 0.5× 94 2.1× 42 228
Yen‐Min Huang Taiwan 9 57 1.0× 74 1.4× 27 0.6× 42 0.9× 18 0.4× 26 281
Lanqing Han China 9 27 0.5× 91 1.7× 8 0.2× 18 0.4× 24 0.5× 15 225
Haixiong Chen China 12 55 0.9× 99 1.8× 27 0.6× 40 0.9× 20 0.4× 21 293

Countries citing papers authored by Jiaxi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaxi Lin. A scholar is included among the top collaborators of Jiaxi 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 Jiaxi Lin. Jiaxi Lin 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.
Lin, Jiaxi, et al.. (2026). Fetuin B drives metabolism-associated steatohepatitis by promoting hepatocyte pyroptosis via NLRP3/GSDMD pathway. Experimental Cell Research. 456(1). 114886–114886.
2.
Lin, Jiaxi, Chenghao Lu, Xiaoting Ma, et al.. (2025). The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer. BMC Gastroenterology. 25(1). 557–557.
3.
Zhu, Jinzhou, Shiqi Zhu, Jiaxi Lin, et al.. (2025). Explainable semi-supervised model for predicting invasion depth of esophageal squamous cell carcinoma based on the IPCL and AVA patterns. Scientific Reports. 15(1). 22519–22519.
4.
Lin, Jiaxi, Shiqi Zhu, Minyue Yin, et al.. (2024). Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework. Heliyon. 10(4). e26559–e26559. 3 indexed citations
5.
6.
Wang, Yu, Jiaxi Lin, Minyue Yin, et al.. (2024). A Semi-Supervised Learning Framework for Classifying Colorectal Neoplasia Based on the NICE Classification. Journal of Imaging Informatics in Medicine. 37(5). 2342–2353. 2 indexed citations
7.
8.
Zheng, Yun, et al.. (2024). Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm. Frontiers in Endocrinology. 15. 1368225–1368225. 2 indexed citations
9.
Yin, Minyue, Chao Xu, Jinzhou Zhu, et al.. (2024). Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images. BMC Medical Imaging. 24(1). 50–50. 5 indexed citations
10.
Gao, Xin, Jiaxi Lin, Changju Qu, et al.. (2024). Computer-aided diagnostic system with automated deep learning method based on the AutoGluon framework improved the diagnostic accuracy of early esophageal cancer. Journal of Gastrointestinal Oncology. 15(2). 535–543. 1 indexed citations
11.
Lin, Jiaxi, Yang Jin, Minyue Yin, et al.. (2024). Development and Validation of Multimodal Models to Predict the 30-Day Mortality of ICU Patients Based on Clinical Parameters and Chest X-Rays. Journal of Imaging Informatics in Medicine. 37(4). 1312–1322. 4 indexed citations
12.
Gao, Jingwen, Jiaxi Lin, Shiqi Zhu, et al.. (2024). Farrerol alleviates insulin resistance and hepatic steatosis of metabolic associated fatty liver disease by targeting PTPN1. Journal of Cellular and Molecular Medicine. 28(18). e70096–e70096. 6 indexed citations
13.
Lin, Jiaxi, Shiqi Zhu, Xinyan Gao, et al.. (2024). Evaluation of super resolution technology for digestive endoscopic images. Heliyon. 10(19). e38920–e38920. 1 indexed citations
14.
Yin, Minyue, Jiaxi Lin, Shiqi Zhu, et al.. (2023). Identification of gastric signet ring cell carcinoma based on endoscopic images using few-shot learning. Digestive and Liver Disease. 55(12). 1725–1734. 6 indexed citations
15.
Zhu, Shiqi, Jingwen Gao, Lu Liu, et al.. (2023). Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review. Journal of Digital Imaging. 36(6). 2578–2601. 7 indexed citations
16.
Yin, Minyue, Lu Liu, Jingwen Gao, et al.. (2023). Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review. International Journal of Medical Informatics. 174. 105044–105044. 10 indexed citations
17.
Shi, Yuqi, Jiaxi Lin, Jinzhou Zhu, et al.. (2023). Predicting the Recurrence of Common Bile Duct Stones After ERCP Treatment with Automated Machine Learning Algorithms. Digestive Diseases and Sciences. 68(7). 2866–2877. 5 indexed citations
18.
Yin, Minyue, Xiaolong Liang, Zilan Wang, et al.. (2023). Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network–Based Deep Learning Models. Journal of Digital Imaging. 36(3). 827–836. 5 indexed citations
19.
Yin, Minyue, Lu Liu, Jingwen Gao, et al.. (2022). Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals. Frontiers in Cellular and Infection Microbiology. 12. 886935–886935. 20 indexed citations
20.
Wang, Yu, Hong Yu, Yue Wang, et al.. (2022). Automated Multimodal Machine Learning for Esophageal Variceal Bleeding Prediction Based on Endoscopy and Structured Data. Journal of Digital Imaging. 36(1). 326–338. 24 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yu‐Ru Su Breakdown of academic impact, for papers by Mustafa Barış Breakdown of academic impact, for papers by Laura Andreea Ghenciu Breakdown of academic impact, for papers by Suraj K. Jaladanki Breakdown of academic impact, for papers by Yura Ahn Breakdown of academic impact, for papers by Numan Kutaiba Breakdown of academic impact, for papers by Yen‐Min Huang Breakdown of academic impact, for papers by Lanqing Han Breakdown of academic impact, for papers by Haixiong Chen
Rankless by CCL
2026