Chenyang Dai

3.4k total citations
112 papers, 2.3k citations indexed

About

Chenyang Dai is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Chenyang Dai has authored 112 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Pulmonary and Respiratory Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Surgery. Recurrent topics in Chenyang Dai's work include Lung Cancer Diagnosis and Treatment (40 papers), Lung Cancer Treatments and Mutations (27 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Chenyang Dai is often cited by papers focused on Lung Cancer Diagnosis and Treatment (40 papers), Lung Cancer Treatments and Mutations (27 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Chenyang Dai collaborates with scholars based in China, United States and Japan. Chenyang Dai's co-authors include Chang Chen, Yijiu Ren, Dong Xie, Yunlang She, Gening Jiang, Huikang Xie, Hui Zheng, Ke Fei, Hang Su and Chunyan Wu and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Chenyang Dai

106 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chenyang Dai China 26 1.3k 588 416 360 345 112 2.3k
Naoyuki Shigematsu Japan 28 1.4k 1.1× 793 1.3× 588 1.4× 231 0.6× 320 0.9× 186 2.7k
Jennifer Gordetsky United States 26 1.5k 1.2× 401 0.7× 573 1.4× 614 1.7× 309 0.9× 139 2.4k
Rong Tian China 22 418 0.3× 585 1.0× 255 0.6× 548 1.5× 314 0.9× 170 1.9k
Soichiro Yoshida Japan 33 1.1k 0.9× 863 1.5× 1.4k 3.4× 490 1.4× 493 1.4× 217 3.2k
Hong Song United States 33 1.3k 1.1× 1.4k 2.4× 402 1.0× 554 1.5× 1.1k 3.1× 168 3.4k
Kyo Young Lee South Korea 31 1.3k 1.0× 309 0.5× 649 1.6× 759 2.1× 748 2.2× 181 3.0k
Qing Lü China 25 459 0.4× 750 1.3× 489 1.2× 282 0.8× 541 1.6× 124 2.2k
Hao Yu China 22 424 0.3× 381 0.6× 396 1.0× 316 0.9× 294 0.9× 87 1.8k
Gang Wu China 25 982 0.8× 352 0.6× 514 1.2× 624 1.7× 813 2.4× 170 3.1k
Xiangcheng Li China 25 429 0.3× 537 0.9× 648 1.6× 601 1.7× 532 1.5× 111 2.1k

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-authorship network of co-authors of Chenyang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Chenyang Dai. A scholar is included among the top collaborators of Chenyang Dai 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 Chenyang Dai. Chenyang Dai 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
1.
Dai, Chenyang, et al.. (2025). FAS-NoC: A Real-Time Fused Approximation Scheme Coordinating Communication and Computation for NoC-Based NN Accelerators. IEEE Transactions on Circuits and Systems I Regular Papers. 72(9). 4710–4722. 1 indexed citations
2.
Ye, Ning, Chongwu Li, Tao Wang, et al.. (2025). Single-cell RNA sequencing of pig lung transplantation reveals macrophage ferroptosis in lung ischemia–reperfusion injury. The Journal of Heart and Lung Transplantation. 44(9). 1516–1520. 1 indexed citations
3.
Dai, Chenyang, Jia‐Han Zhang, Cheng‐Yu He, et al.. (2025). MOF-based high-entropy-alloy evaporator featuring enhanced interband transitions for efficient solar steam and green electricity generation. Chemical Engineering Journal. 517. 163067–163067. 4 indexed citations
4.
5.
Dai, Chenyang, Zhengtong Li, Jia‐Han Zhang, et al.. (2024). Strategic design of porous interfacial evaporators: A comprehensive review unveiling the significant role of pore engineering. Nano Energy. 131. 110244–110244. 36 indexed citations
6.
Song, Wenqing, et al.. (2024). An Energy Efficient Residual Spiking Neural Network Accelerator With Ternary Spikes. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(1). 395–400. 1 indexed citations
7.
Cai, Mei‐Chun, Jin Liu, Pengfei Ma, et al.. (2024). YY1 downregulation underlies therapeutic response to molecular targeted agents. Cell Death and Disease. 15(11). 862–862. 3 indexed citations
8.
Dai, Chenyang, et al.. (2024). HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators. IEEE Transactions on Circuits and Systems I Regular Papers. 71(4). 1863–1875. 2 indexed citations
9.
Dai, Chenyang, Tengfei Pei, Ning Liu, Zhen Lin, & Qiu Gen Zhang. (2023). Hydrolyzed polyacrylonitrile nanofibers as interlayers for ultrathin nanofiltration membranes of high permeance and salt rejection. Journal of Membrane Science. 693. 122398–122398. 6 indexed citations
10.
Yuan, Fengjiao, Weihua Zhang, Hui Guo, et al.. (2023). CXCL16 exacerbates Pseudomonas aeruginosa keratitis by promoting neutrophil activation. International Immunopharmacology. 127. 111375–111375. 2 indexed citations
11.
12.
Dai, Chenyang, Shujin Hou, Baogui Liu, et al.. (2023). Opportunities and challenges of hydrotalcite-related electrocatalysts for seawater splitting: a systematic perspective from materials synthesis, characterization and application. Journal of Materials Chemistry A. 11(38). 20383–20407. 23 indexed citations
13.
14.
Gu, Chang, Jiafei Chen, Chunji Chen, et al.. (2021). Hippo Pathway Core Genes Based Prognostic Signature and Immune Infiltration Patterns in Lung Squamous Cell Carcinoma. Frontiers in Oncology. 11. 680918–680918. 28 indexed citations
15.
Wang, Guang, Yuxuan Hu, Mei-yao He, et al.. (2021). Gut-Lung Dysbiosis Accompanied by Diabetes Mellitus Leads to Pulmonary Fibrotic Change through the NF-κB Signaling Pathway. American Journal Of Pathology. 191(5). 838–856. 28 indexed citations
16.
Liu, Mengyuan, et al.. (2021). Automatic measurement of fetal femur length in ultrasound images: a comparison of random forest regression model and SegNet. Mathematical Biosciences & Engineering. 18(6). 7790–7805. 19 indexed citations
17.
Gu, Chang, Xin Shi, Chenyang Dai, et al.. (2020). RNA m6A Modification in Cancers: Molecular Mechanisms and Potential Clinical Applications. The Innovation. 1(3). 100066–100066. 93 indexed citations
18.
Liu, Lingling, Shan Yang, Yi Han, et al.. (2020). Rhodium-Catalyzed ortho-Alkenylation of Phenols Directed by Acetone Oxime Ether. Chinese Journal of Organic Chemistry. 40(8). 2394–2394. 2 indexed citations
19.
Gu, Chang, Zhenyu Huang, Chen‐Ying Liu, et al.. (2020). TEAD4 promotes tumor development in patients with lung adenocarcinoma via ERK signaling pathway. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(12). 165921–165921. 45 indexed citations
20.
Dai, Chenyang, Huikang Xie, Hang Su, et al.. (2017). Tumor Spread through Air Spaces Affects the Recurrence and Overall Survival in Patients with Lung Adenocarcinoma >2 to 3 cm. Journal of Thoracic Oncology. 12(7). 1052–1060. 145 indexed citations

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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