Chenyang Dai

3.4k citations
112 papers · 2.3k indexed · h-index 26

Impact in

Papers in

Chenyang Dai

106 papers receiving 2.3k citations

Peers

Chenyang Dai
Comparison fields: 5 of 135
  • Microbiology 31
  • Pulmonary and Respiratory Medicine 1.3k
  • Radiology, Nuclear Medicine and Imaging 588
  • Cancer Research 195
  • Oncology 345
Replace Kyo Young Lee with:
Kyo Young Lee South Korea
Jian Hu China
Shigetoshi Yoshida Japan
Francesco Petrella Italy
Rumelia Koren Israel
Atsuo Inoue Japan
Xiaodong Yang China
Camilla Comin Italy
Ping Yuan China
Wen‐Yu Chuang Taiwan
Chenyang Dai relative to Kyo Young Lee South Korea Kyo Young Lee's profile →
Citations per field
00.5×2.8×
Kyo Young Lee · 1×
Citations per year

Countries citing papers authored by Chenyang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chenyang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenyang Dai, 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 Chenyang Dai Line = papers co-authored together Chenyang Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016175
2 2017145
3 2014127
4 2016119
5 201897
6 202093
7 201384
8 201953
9 202053
10 201752
11 201650
12 201748
13 201846
14 202045
15 202436
16 201836
17 201834
18 202129
19 202128
20 202128

About Chenyang Dai

Chenyang Dai is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Immunology, having authored 112 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (40 papers), Lung Cancer Treatments and Mutations (27 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging and Pathology Studies (11 papers), Pleural and Pulmonary Diseases (10 papers), Catalytic C–H Functionalization Methods (7 papers), Lung Cancer Research Studies (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Microbiology (31 citations), Pulmonary and Respiratory Medicine (1.3k citations), Radiology, Nuclear Medicine and Imaging (588 citations), Cancer Research (195 citations) and Oncology (345 citations). Chenyang Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chang Chen, Yijiu Ren, Dong Xie, Yunlang She, Gening Jiang, Huikang Xie, Hui Zheng, Ke Fei, Hang Su and Chunyan Wu. Their work appears in journals such as The Annals of Thoracic Surgery, Oncotarget, Journal of Surgical Oncology, Journal of Thoracic Oncology and Experimental Eye Research.

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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