Chenghe Lin

27 papers receiving 453 citations

Peers

Chenghe Lin
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 62
  • Health Informatics 5
  • Archeology 35
  • Radiology, Nuclear Medicine and Imaging 64
  • Cancer Research 42
Replace H.Y. Yeung with:
H.Y. Yeung Hong Kong
Junhua Ma China
Sun‐Kyoung Yu South Korea
Masoud Pezeshkian Iran
Darshini Trivedi United States
Young‐Cheol Lim South Korea
Nasi Huang United States
Youmin Wang China
Ren Zhao China
Jingzhi Guan China
Chenghe Lin relative to H.Y. Yeung Hong Kong H.Y. Yeung's profile →
Citations per field
00.5×10×15×17.5×
H.Y. Yeung · 1×
Citations per year

Countries citing papers authored by Chenghe Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chenghe Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenghe Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chenghe Lin Line = papers co-authored together Chenghe Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200283
2 201178
3 200953
4 201339
5 201136
6 202126
7 202222
8 202216
9 201115
10 201213
11 201112
12 201810
13 20119
14 20147
15 20217
16 20216
17 20216
18 20245
19 20254
20 20204

About Chenghe Lin

Chenghe Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Surgery, having authored 27 papers that have together received 463 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers), Autopsy Techniques and Outcomes (2 papers), Circular RNAs in diseases (2 papers), Reconstructive Facial Surgery Techniques (2 papers), Cancer-related gene regulation (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (62 citations), Health Informatics (5 citations), Archeology (35 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Cancer Research (42 citations). Chenghe Lin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Fu‐Chan Wei, Yan Yu, Hong Yan, Yali Cui, Aimin Yang, Seung‐Ho Han, Hongguang Zhao, Feng Guan, Nan Jiang and Shanshan Liu. Their work appears in journals such as Journal of Biochemical and Molecular Toxicology, Journal of Clinical Oncology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Annals of Nuclear Medicine and Tissue and Cell.

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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