Yucong Lin

536 total citations
49 papers, 329 citations indexed

About

Yucong Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yucong Lin has authored 49 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yucong Lin's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Image Segmentation Techniques (7 papers) and Machine Learning in Healthcare (7 papers). Yucong Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Image Segmentation Techniques (7 papers) and Machine Learning in Healthcare (7 papers). Yucong Lin collaborates with scholars based in China, United States and Canada. Yucong Lin's co-authors include Hong Song, Jian Yang, Jingfan Fan, Srikanth Saripalli, Danni Ai, Tianyu Fu, Zhiqiang Zuo, Yingyun Yang, Moran Wang and Keming Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Yucong Lin

41 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yucong Lin China 10 85 81 73 49 49 49 329
Jichen Yang United States 6 107 1.3× 145 1.8× 155 2.1× 70 1.4× 41 0.8× 19 481
Kyungsu Lee South Korea 9 57 0.7× 30 0.4× 50 0.7× 41 0.8× 25 0.5× 25 307
Jingwen Zhao China 12 60 0.7× 77 1.0× 70 1.0× 37 0.8× 18 0.4× 34 368
Adnan Haider South Korea 16 93 1.1× 170 2.1× 203 2.8× 44 0.9× 24 0.5× 34 448
Tao Zhong China 11 79 0.9× 75 0.9× 233 3.2× 131 2.7× 17 0.3× 36 462
Mohanad A. Deif Egypt 12 108 1.3× 34 0.4× 78 1.1× 37 0.8× 15 0.3× 35 315
Jiajun Qiu China 13 46 0.5× 29 0.4× 109 1.5× 53 1.1× 36 0.7× 53 480
Xinrui Lyu China 7 124 1.5× 16 0.2× 29 0.4× 21 0.4× 45 0.9× 27 385
Haoyu Zhong China 9 32 0.4× 27 0.3× 124 1.7× 34 0.7× 24 0.5× 15 350
Madhusudhan Mishra India 9 107 1.3× 42 0.5× 38 0.5× 24 0.5× 12 0.2× 23 400

Countries citing papers authored by Yucong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yucong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yucong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yucong Lin. A scholar is included among the top collaborators of Yucong 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 Yucong Lin. Yucong 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.
Fan, Jingfan, Tianyu Fu, Danni Ai, et al.. (2025). Landmark and Pose Prediction in Occluded Facial Point Cloud via Explicit Joint Feature Fusion Network. IEEE Transactions on Circuits and Systems for Video Technology. 35(10). 10148–10161.
2.
Xiao, Deqiang, Danni Ai, Jingfan Fan, et al.. (2025). Accurate Calibration for Magnetic Measurements Using Deep Learning. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.
3.
Song, Hong, Danni Ai, Jingfan Fan, et al.. (2025). SFCLI-Net: Spatial-frequency collaborative learning interpolation network for Computed Tomography slice synthesis. Expert Systems with Applications. 272. 126602–126602.
4.
Song, Hong, et al.. (2025). MedKit: Multi-level feature distillation with knowledge injection for radiology report generation. Expert Systems with Applications. 296. 129003–129003.
5.
Song, Hong, et al.. (2024). PRTA:Joint extraction of medical nested entities and overlapping relation via parameter sharing progressive recognition and targeted assignment decoding scheme. Computers in Biology and Medicine. 176. 108539–108539. 3 indexed citations
6.
Song, Hong, et al.. (2024). MSLR: A Self-supervised Representation Learning Method for Tabular Data Based on Multi-scale Ladder Reconstruction. Information Sciences. 660. 120108–120108. 1 indexed citations
7.
Fu, Tianyu, Hong Song, Jingfan Fan, et al.. (2024). Embedding-Alignment Fusion-Based Graph Convolution Network With Mixed Learning Strategy for 4D Medical Image Reconstruction. IEEE Journal of Biomedical and Health Informatics. 28(5). 2916–2929. 1 indexed citations
8.
Song, Hong, et al.. (2024). MixFuse: An iterative mix-attention transformer for multi-modal image fusion. Expert Systems with Applications. 261. 125427–125427. 2 indexed citations
9.
Wen, Jun, Yihan Zhao, Clara-Lea Bonzel, et al.. (2024). Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records. Journal of Biomedical Informatics. 157. 104685–104685. 1 indexed citations
10.
Song, Hong, et al.. (2023). A joint learning method for incomplete and imbalanced data in electronic health record based on generative adversarial networks. Computers in Biology and Medicine. 168. 107687–107687. 7 indexed citations
11.
Hou, Jue, Jessica Gronsbell, Yucong Lin, et al.. (2023). Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies. Journal of Medical Internet Research. 25. e45662–e45662. 8 indexed citations
12.
Song, Hong, et al.. (2023). OrbitNet—A fully automated orbit multi-organ segmentation model based on transformer in CT images. Computers in Biology and Medicine. 155. 106628–106628. 6 indexed citations
13.
Xiao, Deqiang, Shuo Yang, Jingfan Fan, et al.. (2023). CT2X-IRA: CT to x-ray image registration agent using domain-cross multi-scale-stride deep reinforcement learning. Physics in Medicine and Biology. 68(17). 175024–175024. 6 indexed citations
14.
Fu, Tianyu, Yuanyuan Wang, Deqiang Xiao, et al.. (2023). An alternately optimized generative adversarial network with texture and content constraints for deformable registration of 3D ultrasound images. Physics in Medicine and Biology. 68(14). 145006–145006. 4 indexed citations
15.
Lu, Keming, Si Yu, Yucong Lin, et al.. (2023). Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis. BMC Medical Informatics and Decision Making. 23(1). 160–160. 11 indexed citations
16.
Lin, Yucong, Ying Xiao, Hong Song, et al.. (2023). Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines. BMC Medical Informatics and Decision Making. 23(1). 247–247. 1 indexed citations
17.
Li, Wenjie, Jingfan Fan, Yating Li, et al.. (2022). Endoscopy image enhancement method by generalized imaging defect models based adversarial training. Physics in Medicine and Biology. 67(9). 95016–95016. 3 indexed citations
18.
Yang, Shuo, Tianyu Fu, Yucong Lin, et al.. (2022). Augmented reality calibration using feature triangulation iteration-based registration for surgical navigation. Computers in Biology and Medicine. 148. 105826–105826. 24 indexed citations
19.
Fu, Tianyu, Yucong Lin, Jingfan Fan, et al.. (2021). Hole-filling based on content loss indexed 3D partial convolution network for freehand ultrasound reconstruction. Computer Methods and Programs in Biomedicine. 211. 106421–106421. 5 indexed citations
20.
Song, Hong, Tianyu Fu, Jingfan Fan, et al.. (2021). An optimal ablation time prediction model based on minimizing the relapse risk. Computer Methods and Programs in Biomedicine. 212. 106438–106438. 3 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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