Cheng Ting Lin

4.2k citations
92 papers · 2.5k indexed · h-index 26
Topics
Lung Cancer Diagnosis and Treatment (16 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)COVID-19 diagnosis using AI (8 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Cheng Ting Lin

86 papers receiving 2.4k citations

Peers

Cheng Ting Lin
Comparison fields: 5 of 147
  • Pulmonary and Respiratory Medicine 726
  • Biomedical Engineering 493
  • Radiology, Nuclear Medicine and Imaging 480
  • Oncology 474
  • Mechanical Engineering 421
Replace Gerjon Hannink with:
Gerjon Hannink Netherlands
Tymour Forouzanfar Netherlands
Nobuhiko Sugano Japan
Edward K. Rodriguez United States
Hollis G. Potter United States
Yu‐Xiong Su China
Bilal Al‐Nawas Germany
Thomas Tischer Germany
Omar Omar Sweden
James Kit Hon Tsoi Hong Kong
Cheng Ting Lin relative to Gerjon Hannink Netherlands Gerjon Hannink's profile →
Citations per field
00.5×5.0×
Gerjon Hannink · 1×
Citations per year

Countries citing papers authored by Cheng Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ting Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ting Lin. A scholar is included among the top collaborators of Cheng Ting 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 Cheng Ting Lin. Cheng Ting 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
#WorkIndexed citations
1 0
2 0
3 0
4 23
5 14
6 39
7 10
8 4
9 10
10 1
11 9
12 10
13 32
14 39
15 134
16 26
17 33
18 24
19 34
20 4

About Cheng Ting Lin

Cheng Ting Lin is a scholar working on Health Informatics, Critical Care and Intensive Care Medicine and Internal Medicine, having authored 92 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and COVID-19 diagnosis using AI (8 papers). The work is most often cited by research in Health Informatics (122 citations), Pulmonary and Respiratory Medicine (726 citations) and Polymers and Plastics (299 citations). Cheng Ting Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Liwu Liu, Jinsong Leng, Yanju Liu, Jarushka Naidoo, Sonye K. Danoff, Karthik Suresh, Paul H. Yi, Jinrong Li, Fenghua Zhang and Yuanshi Li. Their work appears in journals such as Nature Medicine, Gastroenterology and Advanced Functional Materials.

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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