Chenyang Dai

3.5k citations
120 papers · 2.7k · h-index 28

Impact in

Papers in

Chenyang Dai

113 papers receiving 2.6k citations

Peers

Chenyang Dai
Comparison fields: 5 of 123
  • Pulmonary and Respiratory Medicine 1.1k
  • Radiology, Nuclear Medicine and Imaging 316
  • Cancer Research 146
  • Endocrinology, Diabetes and Metabolism 148
  • Oncology 228
Replace Rong Tian with:
Rong Tian China
Yosuke Sasaki Japan
Wen‐Yu Chuang Taiwan
Quanshi Wang China
Feng Jin China
Chunwei Xu China
Alfredo Santinelli Italy
Véronique Lindner France
Hao Zeng China
Jian Hu China
Chenyang Dai relative to Rong Tian China Rong Tian's profile →
Citations per field
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Rong Tian · 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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016198
2 2017174
3 2014135
4 2016129
5 2018106
6 2013100
7 2020100
8 202061
9 201959
10 201656
11 201755
12 201752
13 201850
14 202447
15 202046
16 201839
17 202036
18 201834
19 202133
20 202331

About Chenyang Dai

Chenyang Dai is a scholar working on Pulmonary and Respiratory Medicine, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Immunology, having authored 120 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (34 papers), Lung Cancer Treatments and Mutations (10 papers), Catalytic C–H Functionalization Methods (7 papers), Catalytic Cross-Coupling Reactions (5 papers), RNA modifications and cancer (4 papers), Synthesis and Catalytic Reactions (4 papers), Pleural and Pulmonary Diseases (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Radiology, Nuclear Medicine and Imaging (316 citations), Cancer Research (146 citations), Endocrinology, Diabetes and Metabolism (148 citations) and Oncology (228 citations). Chenyang Dai has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Chang Chen, Yijiu Ren, Dong Xie, Yunlang She, Gening Jiang, Huikang Xie, Hui Wen Zheng, Ke Fei, Hang Su and Chunyan Wu. Their work appears in journals such as The Annals of Thoracic Surgery, Frontiers in Oncology, Annals of Surgical Oncology, Oncotarget and Journal of Surgical Oncology.

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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