Hong He

719 total citations
35 papers, 552 citations indexed

About

Hong He is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Hong He has authored 35 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 9 papers in Cognitive Neuroscience. Recurrent topics in Hong He's work include EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (8 papers) and Emotion and Mood Recognition (6 papers). Hong He is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (8 papers) and Emotion and Mood Recognition (6 papers). Hong He collaborates with scholars based in China, Japan and United Kingdom. Hong He's co-authors include Yonghong Tan, Wuxiong Zhang, Li-Hua Gong, Yixian Wang, Nanrun Zhou, Jianhua Wu, Yuexia Wang, Yong Hao, Xinyue Liu and Zheng Wang and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Hong He

32 papers receiving 525 citations

Peers

Hong He
Yasin Kaya Türkiye
Hong He
Citations per year, relative to Hong He Hong He (= 1×) peers Yasin Kaya

Countries citing papers authored by Hong He

Since Specialization
Citations

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

Fields of papers citing papers by Hong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong He

This figure shows the co-authorship network connecting the top 25 collaborators of Hong He. A scholar is included among the top collaborators of Hong He 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 Hong He. Hong He 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.
Zhao, Ying, et al.. (2025). Adaptive construction of critical brain functional networks for EEG-based emotion recognition. Signal Image and Video Processing. 19(6). 1 indexed citations
2.
He, Hong, et al.. (2024). SAGN: Sparse Adaptive Gated Graph Neural Network With Graph Regularization for Identifying Dual-View Brain Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8085–8099. 5 indexed citations
3.
Zhu, Haipeng & Hong He. (2024). A novel residual fourier convolution model for brain tumor segmentation of mr images. Pattern Analysis and Applications. 27(4).
4.
Li, Xiaohong, Yang Li, & Hong He. (2024). Computer Network Virus Defense with Data Mining-based Active Protection. Scalable Computing Practice and Experience. 25(1). 45–54. 1 indexed citations
5.
Hao, Yong, et al.. (2023). EEG based brain functional connectivity analysis for post-autoimmune encephalitis (AE) patients with epilepsy. Epilepsy Research. 193. 107166–107166. 1 indexed citations
6.
He, Hong, et al.. (2023). A progressive learning classifier based on dynamic differential weighted network for feature identification of brain network series. Knowledge-Based Systems. 274. 110661–110661. 6 indexed citations
7.
Zhu, Haipeng, Hong He, & Huifang Zhou. (2023). IMoVR-Net: A robust interpretable network for multi-ocular lesion recognition from TAO facial images. Computers in Biology and Medicine. 168. 107771–107771. 4 indexed citations
9.
Xu, Hui, et al.. (2023). Transfer learning and clustering analysis of epileptic EEG signals on Riemannian manifold. Applied Soft Computing. 146. 110656–110656. 5 indexed citations
10.
He, Hong, Xinyue Liu, & Yong Hao. (2021). A progressive deep wavelet cascade classification model for epilepsy detection. Artificial Intelligence in Medicine. 118. 102117–102117. 19 indexed citations
11.
Tang, Zhen‐Xing, Lu‐E Shi, Xiaomin Wang, et al.. (2020). Whole Flaxseed-based Products and Their Health Benefits. Food Science and Technology Research. 26(5). 561–578. 11 indexed citations
12.
He, Hong, et al.. (2020). Strengthen EEG-based emotion recognition using firefly integrated optimization algorithm. Applied Soft Computing. 94. 106426–106426. 56 indexed citations
13.
He, Hong, et al.. (2019). Identification of EEG-Based Music Emotion Using Hybrid COA Features and t-SNE. 95–102. 5 indexed citations
14.
He, Hong, et al.. (2019). EEG-based Emotion Recognition Using Multi-scale Window Deep Forest. 381–386. 8 indexed citations
15.
He, Hong & Yonghong Tan. (2018). Unsupervised Classification of Multivariate Time Series Using VPCA and Fuzzy Clustering With Spatial Weighted Matrix Distance. IEEE Transactions on Cybernetics. 50(3). 1096–1105. 28 indexed citations
16.
He, Hong, Yonghong Tan, & Wuxiong Zhang. (2018). A wavelet tensor fuzzy clustering scheme for multi-sensor human activity recognition. Engineering Applications of Artificial Intelligence. 70. 109–122. 30 indexed citations
17.
18.
He, Hong & Yonghong Tan. (2017). Pattern Clustering of Hysteresis Time Series With Multivalued Mapping Using Tensor Decomposition. IEEE Transactions on Systems Man and Cybernetics Systems. 48(6). 993–1004. 19 indexed citations
19.
He, Hong, et al.. (2016). Meridian ECG information transmission system modeling using NARX neural network. 1–6. 1 indexed citations
20.
He, Hong & Yonghong Tan. (2011). A two-stage genetic algorithm for automatic clustering. Neurocomputing. 81. 49–59. 96 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026