Chao Feng

561 total citations
35 papers, 393 citations indexed

About

Chao Feng is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chao Feng has authored 35 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chao Feng's work include Cerebrovascular and Carotid Artery Diseases (5 papers), Acute Ischemic Stroke Management (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Chao Feng is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (5 papers), Acute Ischemic Stroke Management (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Chao Feng collaborates with scholars based in China, Sweden and India. Chao Feng's co-authors include Xueyuan Liu, Min Fang, Hua Ting, Yu Xu, Xueyuan Liu, Yu Xu, Xue Bai, Chunsheng Yan, Shudong Xia and Xuan Liu and has published in prestigious journals such as Scientific Reports, Journal of Food Engineering and BioMed Research International.

In The Last Decade

Chao Feng

33 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao Feng China	12	85	82	75	64	61	35	393
Yi Ju China	14	113 1.3×	157 1.9×	108 1.4×	52 0.8×	104 1.7×	64	696
Qi Cheng China	16	94 1.1×	94 1.1×	32 0.4×	57 0.9×	93 1.5×	30	642
Hakjae Roh South Korea	12	44 0.5×	189 2.3×	105 1.4×	87 1.4×	139 2.3×	40	466
Ruo Li Chen United Kingdom	7	75 0.9×	89 1.1×	37 0.5×	30 0.5×	46 0.8×	7	314
Dariusz Kotlęga Poland	13	65 0.8×	95 1.2×	40 0.5×	65 1.0×	47 0.8×	42	483
Chunrong Tao China	11	67 0.8×	141 1.7×	105 1.4×	31 0.5×	100 1.6×	37	527
Weijian Chen China	14	50 0.6×	115 1.4×	58 0.8×	30 0.5×	85 1.4×	45	503
Adina Stan Romania	13	223 2.6×	150 1.8×	36 0.5×	43 0.7×	70 1.1×	41	510
Bishwanath Kumar India	11	59 0.7×	65 0.8×	33 0.4×	60 0.9×	194 3.2×	15	432
Zhongwu Sun China	13	80 0.9×	63 0.8×	56 0.7×	27 0.4×	60 1.0×	63	456

Countries citing papers authored by Chao Feng

Since Specialization

Citations

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

Fields of papers citing papers by Chao Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Feng. A scholar is included among the top collaborators of Chao Feng 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 Chao Feng. Chao Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Dan, Jing Zheng, Yiran Wang, et al.. (2025). Association between early heart rate trajectories in post-PCI STEMI patients and prognosis after hospital discharge. Annals of Medicine. 57(1). 2468267–2468267.

Zou, Bo, et al.. (2025). Advances of research in diabetic cardiomyopathy: diagnosis and the emerging application of sequencing. Frontiers in Cardiovascular Medicine. 11. 1501735–1501735. 1 indexed citations

Zheng, Jing, et al.. (2025). Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence. BMC Medical Imaging. 25(1). 186–186.

Xu, Tao, et al.. (2024). Post-stroke arrhythmia could be a potential predictor for post-stroke depression. Scientific Reports. 14(1). 9093–9093. 1 indexed citations

Zheng, Jing, Zhe Li, Jianqiang Zhao, et al.. (2024). Association between triglyceride–glucose index trajectories and radiofrequency ablation outcomes in patients with stage 3D atrial fibrillation. Cardiovascular Diabetology. 23(1). 121–121. 12 indexed citations

Chen, Shujie, et al.. (2024). Enhancing Mechanical Properties and Microstructures of Mass-Manufactured Sand Concrete by Incorporating Granite Powder. Materials. 17(10). 2234–2234. 5 indexed citations

Feng, Chao, et al.. (2023). GLUT1 Mediates the Metabolic Reprogramming and Inflammation of CCR2+ Monocytes/Macrophages from Patients with DCM. Frontiers in Bioscience-Landmark. 28(9). 223–223. 9 indexed citations

Feng, Chao, et al.. (2023). Inhibition of PFKFB3 Expression Stimulates Macrophage-Mediated Lymphangiogenesis Post-Acute Myocardial Infarction. Frontiers in Bioscience-Landmark. 28(11). 277–277. 7 indexed citations

Feng, Chao, et al.. (2022). The etiologies of post-stroke depression: Different between lacunar stroke and non-lacunar stroke. Clinics. 77. 100095–100095. 4 indexed citations

10.

Lin, Wenting, Yiwen Chen, Jianqiang Zhao, et al.. (2022). Korotkoff sounds dynamically reflect changes in cardiac function based on deep learning methods. Frontiers in Cardiovascular Medicine. 9. 940615–940615. 2 indexed citations

11.

Fu, Pengyu, Shan Li, Yang Li, et al.. (2020). Double Burden of Malnutrition: Examining the Growth Profile and Coexistence of Undernutrition, Overweight, and Obesity among School-Aged Children and Adolescents in Urban and Rural Counties in Henan Province, China. Journal of Obesity. 2020. 1–11. 27 indexed citations

12.

Liang, Li, et al.. (2019). Aberrant expression of TNRC6a and miR-21 during myocardial infarction. 3 Biotech. 9(7). 285–285. 6 indexed citations

13.

Huang, Jing, Junwen Li, Chao Feng, et al.. (2018). Blood-Brain Barrier Damage as the Starting Point of Leukoaraiosis Caused by Cerebral Chronic Hypoperfusion and Its Involved Mechanisms: Effect of Agrin and Aquaporin-4. BioMed Research International. 2018. 1–10. 29 indexed citations

14.

Liu, Xuan, et al.. (2014). LED-induced fluorescence system for tea classification and quality assessment. Journal of Food Engineering. 137. 95–100. 25 indexed citations

15.

Feng, Chao, et al.. (2014). Arterial remodeling of basilar atherosclerosis in isolated pontine infarction. Neurological Sciences. 36(4). 547–551. 9 indexed citations

16.

Liu, Xuan, Chao Feng, & Chunsheng Yan. (2013). Classification of tea using LED-induced fluorescence. 68. 607–609. 1 indexed citations

17.

Feng, Chao, Yu Xu, Hua Ting, Xueyuan Liu, & Min Fang. (2013). Irregularly shaped lacunar infarction: risk factors and clinical significance. Arquivos de Neuro-Psiquiatria. 71(10). 769–773. 11 indexed citations

18.

Feng, Chao, Xue Bai, Yu Xu, Hua Ting, & Xueyuan Liu. (2013). The 'silence’ of silent brain infarctions may be related to chronic ischemic preconditioning and nonstrategic locations rather than to a small infarction size. Clinics. 68(3). 365–369. 10 indexed citations

19.

Feng, Chao, et al.. (2007). [The significance of Ki-67 antigen expression in the distinction between benign and malignant pheochromocytomas].. PubMed. 45(24). 1697–700. 6 indexed citations

20.

Feng, Chao, Hanzhong Li, Weigang Yan, Yufeng Luo, & Jinling Cao. (2005). [The expression and significance of chromogranin A and synaptophysin in adrenal gland tumors].. PubMed. 27(8). 486–8. 3 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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