Hongli Lin

460 citations
13 papers · 59 indexed · h-index 5
Topics
Radiomics and Machine Learning in Medical Imaging (7 papers)Lung Cancer Diagnosis and Treatment (5 papers)Advanced Neural Network Applications (3 papers)
Partner nations
ChinaCanadaHong Kong

In The Last Decade

Hongli Lin

11 papers receiving 57 citations

Peers

Hongli Lin
Comparison fields: 5 of 25
  • Radiology, Nuclear Medicine and Imaging 34
  • Pulmonary and Respiratory Medicine 30
  • Artificial Intelligence 17
  • Computer Vision and Pattern Recognition 13
  • Information Systems 6
Replace Yangsibo Huang with:
Yangsibo Huang United States
Vitali Liauchuk Belarus
Feidao Cao China
Alberto Corvò Netherlands
Yunxin Zhong China
Biqing Zheng China
S Aslani United States
Valentin Oreiller Switzerland
Ha Q. Nguyen Vietnam
Khanh Lam Vietnam
Hongli Lin relative to Yangsibo Huang United States Yangsibo Huang's profile →
Citations per field
00.5×1.5×2.2×
Yangsibo Huang · 1×
Citations per year

Countries citing papers authored by Hongli Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hongli Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongli Lin

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 5
5 5
6 19
7 2
8 6
9 12
10 2
11 4
12
[Development of a lung cancer image database and visualization toolkit].
0
13 2

About Hongli Lin

Hongli Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 59 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Health Informatics (4 citations), Radiology, Nuclear Medicine and Imaging (34 citations) and Pulmonary and Respiratory Medicine (30 citations). Hongli Lin has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Weisheng Wang, Xuedong Yang, Jiawei Luo, Zhencheng Chen, Yuling Liu, Jun Chen, Chao Zeng, Chang–Xing Huang, Yumeng Shi and Jiayi Wang. Their work appears in journals such as Journal of Biomedical Informatics, Academic Radiology and Journal of Digital Imaging.

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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