Feng Hong

452 total citations
14 papers, 328 citations indexed

About

Feng Hong is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Feng Hong has authored 14 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 5 papers in Biomedical Engineering and 2 papers in Infectious Diseases. Recurrent topics in Feng Hong's work include ECG Monitoring and Analysis (6 papers), Cardiac pacing and defibrillation studies (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Feng Hong is often cited by papers focused on ECG Monitoring and Analysis (6 papers), Cardiac pacing and defibrillation studies (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Feng Hong collaborates with scholars based in China and United States. Feng Hong's co-authors include Changhua Lu, Tao Wang, Seth A. Ament, Kevin P. White, Sandra L. Rodriguez‐Zas, Ying Wang, Chun Liu, Mei Yang, Charles Blatti and Craig A. Mizzen and has published in prestigious journals such as PLoS ONE, PLoS Genetics and Journal of Alloys and Compounds.

In The Last Decade

Feng Hong

14 papers receiving 323 citations

Peers

Feng Hong

PHYSI

BE

CN

CCM

GENET

Nicolas‐Alexander Tatlas Greece

Sergey S. Ulyanov Russia

Kazumi Tagami Japan

Gašper Slapničar Slovenia

Ralph van Dinther Netherlands

Abhilasha Sharma India

Om Shankar India

Laishuan Wang China

Laxmi Iyer United States

Charles Hu United States

Nicolas‐Alexander Tatlas Greece

Feng Hong

35 ×0.3

PHYSI

34 ×0.4

BE

24 ×0.3

CN

4 ×0.1

CCM

37 ×0.6

GENET

Citations per year, relative to Feng Hong Feng Hong (= 1×) peers Nicolas‐Alexander Tatlas

Countries citing papers authored by Feng Hong

Since Specialization

Citations

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

Fields of papers citing papers by Feng Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Hong

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

All Works

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14 of 14 papers shown

1.

Hong, Feng, et al.. (2023). Fabrication of porous SiOx/nanoSi@C composites with homogeneous silicon distribution for high-performance Li-ion battery anodes. Journal of Alloys and Compounds. 947. 169511–169511. 11 indexed citations

2.

Xu, Xiaowei, et al.. (2023). Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter–defibrillators. Nature Machine Intelligence. 5(5). 554–555. 4 indexed citations

3.

Lu, Changhua, et al.. (2022). Sleep Apnea Detection Based on Multi-Scale Residual Network. Life. 12(1). 119–119. 6 indexed citations

4.

Hong, Feng, et al.. (2021). Enabling On-Device Model Personalization for Ventricular Arrhythmias Detection by Generative Adversarial Networks. 5 indexed citations

5.

Lu, Changhua, et al.. (2021). Convolutional Neural Network for Heartbeat Classification. 253–258. 3 indexed citations

6.

Wang, Zhepeng, et al.. (2021). Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs. 2606–2613. 7 indexed citations

7.

Wang, Tao, Changhua Lu, Mei Yang, Feng Hong, & Chun Liu. (2020). A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss. PeerJ Computer Science. 6. e324–e324. 23 indexed citations

8.

Wang, Zhepeng, et al.. (2020). Personalized deep learning for ventricular arrhythmias detection on medical IoT systems. 1–9. 6 indexed citations

9.

Wang, Tao, et al.. (2019). Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network. PeerJ. 7. e7731–e7731. 151 indexed citations

10.

Zhao, Fei, Wenyi Zhang, Xin Zhao, et al.. (2018). [Spatial-temporal analysis on pulmonary tuberculosis in Beijing during 2005-2015].. PubMed. 39(6). 816–820. 3 indexed citations

11.

Liu, Yi, Miao Tian, Rongrong Wei, et al.. (2014). Genotypic Diversity Analysis of Mycobacterium tuberculosis Strains Collected from Beijing in 2009, Using Spoligotyping and VNTR Typing. PLoS ONE. 9(9). e106787–e106787. 23 indexed citations

12.

Ament, Seth A., Ying Wang, Charles Blatti, et al.. (2012). The Transcription Factor Ultraspiracle Influences Honey Bee Social Behavior and Behavior-Related Gene Expression. PLoS Genetics. 8(3). e1002596–e1002596. 69 indexed citations

13.

Li, Yanjun, Hong Yan, Feng Hong, & Jinzhong Song. (2012). A new approach of QRS complex detection based on matched filtering and triangle character analysis. Australasian Physical & Engineering Sciences in Medicine. 35(3). 341–356. 13 indexed citations

14.

Hong, Feng. (2008). Heat shock response and HSPs of Tetranychus cinnabarinus (Acari:Tetranychidae) resistant to avermectin. Acta Entomologica Sinica. 4 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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