Shenda Hong

4.4k total citations · 2 hit papers
100 papers, 2.2k citations indexed

About

Shenda Hong is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Shenda Hong has authored 100 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 32 papers in Artificial Intelligence and 20 papers in Cognitive Neuroscience. Recurrent topics in Shenda Hong's work include ECG Monitoring and Analysis (32 papers), EEG and Brain-Computer Interfaces (19 papers) and Machine Learning in Healthcare (16 papers). Shenda Hong is often cited by papers focused on ECG Monitoring and Analysis (32 papers), EEG and Brain-Computer Interfaces (19 papers) and Machine Learning in Healthcare (16 papers). Shenda Hong collaborates with scholars based in China, United States and United Kingdom. Shenda Hong's co-authors include Yuxi Zhou, Hongyan Li, Junyuan Shang, Jimeng Sun, L. Yang, Bin Cui, Wentao Zhang, Zhilong Zhang, Yue Zhao and Ming–Hsuan Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shenda Hong

92 papers receiving 2.1k citations

Hit Papers

Diffusion Models: A Compr... 2020 2026 2022 2024 2023 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Diffusion Models: A Comprehensive Survey of Methods and Applications
    2023 694 citations L. Yang, Zhilong Zhang et al. profile →
  2. Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
    2020 293 citations Shenda Hong, Yuxi Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenda Hong China 22 655 578 470 340 281 100 2.2k
İbrahim Türkoğlu Türkiye 22 308 0.5× 913 1.6× 185 0.4× 316 0.9× 131 0.5× 104 2.4k
Shankar Krishnan United States 27 688 1.1× 342 0.6× 376 0.8× 965 2.8× 436 1.6× 119 3.1k
Afshin Shoeibi Iran 29 328 0.5× 836 1.4× 1.0k 2.2× 562 1.7× 191 0.7× 60 2.9k
Paweł Pławiak Poland 31 1.2k 1.9× 1.2k 2.0× 975 2.1× 545 1.6× 749 2.7× 128 4.1k
Mateo Aboy United States 27 1.1k 1.6× 220 0.4× 523 1.1× 121 0.4× 746 2.7× 122 2.5k
Naimul Khan Canada 19 239 0.4× 707 1.2× 195 0.4× 694 2.0× 375 1.3× 84 2.0k
Saeed Mian Qaisar Saudi Arabia 25 303 0.5× 299 0.5× 512 1.1× 156 0.5× 262 0.9× 172 2.0k
Lal Hussain Pakistan 24 137 0.2× 647 1.1× 215 0.5× 340 1.0× 185 0.7× 88 1.6k
Kayvan Najarian United States 31 551 0.8× 1.0k 1.7× 284 0.6× 894 2.6× 775 2.8× 283 4.3k
Kup‐Sze Choi Hong Kong 36 396 0.6× 1.8k 3.2× 1.0k 2.2× 1.0k 3.0× 498 1.8× 207 4.6k

Countries citing papers authored by Shenda Hong

Since Specialization
Citations

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

Fields of papers citing papers by Shenda Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenda Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Shenda Hong. A scholar is included among the top collaborators of Shenda 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 Shenda Hong. Shenda Hong 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.
Mei, Shuhao, Xin Li, Yuxi Zhou, et al.. (2025). Deep learning for detecting and early predicting chronic obstructive pulmonary disease from spirogram time series. npj Systems Biology and Applications. 11(1). 18–18. 6 indexed citations
2.
Liu, Tong, et al.. (2024). CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training. Biomedical Signal Processing and Control. 91. 105922–105922. 4 indexed citations
3.
Hong, Shenda, et al.. (2024). Cross-modal similar clinical case retrieval using a modular model based on contrastive learning and k-nearest neighbor search. International Journal of Medical Informatics. 193. 105680–105680.
4.
Xie, Junqing, Beatriz Mothe, Chunxiao Li, et al.. (2024). Relationship between HLA genetic variations, COVID-19 vaccine antibody response, and risk of breakthrough outcomes. Nature Communications. 15(1). 4031–4031. 8 indexed citations
5.
Tian, Xu, et al.. (2024). Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia. Pacing and Clinical Electrophysiology. 47(6). 789–801. 11 indexed citations
6.
Hong, Shenda, Tianfan Fu, Liantao Ma, et al.. (2024). Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. 6720–6721. 4 indexed citations
7.
Liu, Zhiguang, Minkun Cai, Shenda Hong, et al.. (2024). Data-driven inverse design of flexible pressure sensors. Proceedings of the National Academy of Sciences. 121(28). e2320222121–e2320222121. 34 indexed citations
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10.
Zhou, Yang, Deyun Zhang, Yu Chen, et al.. (2024). Screening Tool for Paroxysmal Atrial Fibrillation Based on a Deep-Learning Algorithm Using Printed 12-Lead Electrocardiographic Records during Sinus Rhythm. Reviews in Cardiovascular Medicine. 25(7). 242–242. 2 indexed citations
11.
Yang, L., Zhilin Huang, Zhilong Zhang, et al.. (2024). Graphusion: Latent Diffusion for Graph Generation. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6358–6369. 6 indexed citations
12.
Su, Binbin, Yanan Luo, Yaohua Tian, et al.. (2023). HLA-C*07:01 and HLA-DQB1*02:01 protect against white matter hyperintensities and deterioration of cognitive function: A population-based cohort study. Brain Behavior and Immunity. 115. 250–257. 3 indexed citations
13.
Yang, L., Jiayi Zheng, Heyuan Wang, et al.. (2023). Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. IEEE Transactions on Knowledge and Data Engineering. 36(2). 682–693. 12 indexed citations
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Hong, Shenda, Jianliu Wang, Linyan Zhang, et al.. (2022). Signal Quality Index for the fetal heart rates: Development and improvements for fetal monitoring. Expert Systems with Applications. 213. 119244–119244. 1 indexed citations
16.
Hoang, Trong Nghia, Shenda Hong, Cao Xiao, Bryan Kian Hsiang Low, & Jimeng Sun. (2021). AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. 3569–3581. 3 indexed citations
17.
Zhou, Yuxi, Shenda Hong, Junyuan Shang, et al.. (2020). Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors. 20(24). 7307–7307. 6 indexed citations
18.
Shang, Junyuan, et al.. (2018). Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. Asian Conference on Machine Learning. 831–846. 3 indexed citations
19.
Hong, Shenda, Yuxi Zhou, Qingyun Wang, et al.. (2017). ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. Computing in cardiology. 44. 107 indexed citations
20.
Qiu, Zhen, Li Fei-Fei, Shenda Hong, & Hongyan Li. (2016). A Novel Method for Mining Semantics from Patterns over ECG Data.. National Conference on Artificial Intelligence. 2 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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