Hong Zeng

1.0k total citations
34 papers, 662 citations indexed

About

Hong Zeng is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Electrical and Electronic Engineering. According to data from OpenAlex, Hong Zeng has authored 34 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Hong Zeng's work include EEG and Brain-Computer Interfaces (24 papers), Neural dynamics and brain function (8 papers) and Advanced Memory and Neural Computing (7 papers). Hong Zeng is often cited by papers focused on EEG and Brain-Computer Interfaces (24 papers), Neural dynamics and brain function (8 papers) and Advanced Memory and Neural Computing (7 papers). Hong Zeng collaborates with scholars based in China, Italy and Egypt. Hong Zeng's co-authors include Wanzeng Kong, Guojun Dai, Jianhai Zhang, Guang Lin, Jinbo Xu, Sheng Wang, Qing Wu, Zhe Jia, Tianming Zhou and Jiaming Zhang and has published in prestigious journals such as Nucleic Acids Research, International Journal of Hydrogen Energy and Sensors.

In The Last Decade

Hong Zeng

32 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hong Zeng China	14	396	257	100	96	67	34	662
Yanli Li China	14	334 0.8×	260 1.0×	23 0.2×	69 0.7×	94 1.4×	33	694
D. N. Tibarewala India	16	505 1.3×	96 0.4×	51 0.5×	203 2.1×	50 0.7×	65	745
Minh Khoa Nguyen Singapore	8	382 1.0×	213 0.8×	35 0.3×	73 0.8×	37 0.6×	17	509
Cunbo Li China	13	649 1.6×	266 1.0×	22 0.2×	59 0.6×	46 0.7×	37	855
Reda A. El-Khoribi Egypt	10	238 0.6×	211 0.8×	22 0.2×	61 0.6×	61 0.9×	26	520
Minjing Yu China	11	315 0.8×	310 1.2×	36 0.4×	70 0.7×	256 3.8×	25	740
Jingcong Li China	14	310 0.8×	187 0.7×	12 0.1×	59 0.6×	127 1.9×	30	612
Liya Huang China	9	134 0.3×	146 0.6×	12 0.1×	31 0.3×	94 1.4×	35	342
Tae‐Eui Kam South Korea	11	326 0.8×	26 0.1×	19 0.2×	43 0.4×	20 0.3×	36	468

Countries citing papers authored by Hong Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Hong Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Zeng. A scholar is included among the top collaborators of Hong Zeng 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 Zeng. Hong Zeng 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

Zhao, Yue, et al.. (2025). EEGSNet: A novel EEG cognitive recognition model using spiking neural network. Biomedical Signal Processing and Control. 105. 107610–107610. 1 indexed citations

Wang, Chu, et al.. (2025). Early diagnosis of mild cognitive impairment and Alzheimer’s disease using multimodal feature-based deep learning models in a Chinese elderly population. Asian Journal of Psychiatry. 111. 104632–104632.

Liu, Zixin, Tian-Ze Li, Qiuyan Yan, et al.. (2025). The development of multicolor carbon dots and their applications in the field of anti-counterfeiting. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 336. 126046–126046. 4 indexed citations

Zeng, Hong, et al.. (2025). MT-RCAF: A Multi-Task Residual Cross Attention Framework for EEG-based emotion recognition and mood disorder detection. Computer Methods and Programs in Biomedicine. 268. 108835–108835. 1 indexed citations

Li, Tian-Ze, Yuanyuan Dong, Qiuyan Yan, Zixin Liu, & Hong Zeng. (2024). Rapid microwave preparation of nitrogen doped carbon dots and their applications as highly sensitive nanoprobe for hematin. Colloids and Surfaces A Physicochemical and Engineering Aspects. 705. 135634–135634. 3 indexed citations

Zeng, Hong, et al.. (2024). NeuroDM: Decoding and visualizing human brain activity with EEG-guided diffusion model. Computer Methods and Programs in Biomedicine. 251. 108213–108213. 4 indexed citations

Zeng, Hong, et al.. (2024). A General DNA-Like Hybrid Symbiosis Framework: An EEG Cognitive Recognition Method. IEEE Journal of Biomedical and Health Informatics. 28(11). 6498–6511.

Shan, Liang, et al.. (2024). DAEEGViT: A domain adaptive vision transformer framework for EEG cognitive state identification. Biomedical Signal Processing and Control. 100. 107019–107019. 6 indexed citations

Li, Tian-Ze, Yuanyuan Dong, Jianjiao Zhang, et al.. (2024). Carbon dots-based composites electrocatalysts in hydrogen evolution reaction and oxygen evolution reaction: A mini review. International Journal of Hydrogen Energy. 77. 359–372. 10 indexed citations

10.

Jia, Zhe, et al.. (2024). A Novel Dual-Task Model for EEG-Based Emotion and Cognition Recognition. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 2 indexed citations

11.

Pan, Deng, et al.. (2023). EESCN: A novel spiking neural network method for EEG-based emotion recognition. Computer Methods and Programs in Biomedicine. 243. 107927–107927. 48 indexed citations

12.

Ouyang, Yu, et al.. (2023). MSFR-GCN: A Multi-Scale Feature Reconstruction Graph Convolutional Network for EEG Emotion and Cognition Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 3245–3254. 35 indexed citations

13.

Zeng, Hong, et al.. (2023). DM-RE2I: A framework based on diffusion model for the reconstruction from EEG to image. Biomedical Signal Processing and Control. 86. 105125–105125. 14 indexed citations

14.

Zeng, Hong, et al.. (2022). Siam-GCAN: A Siamese Graph Convolutional Attention Network for EEG Emotion Recognition. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 36 indexed citations

15.

Zeng, Hong & Wael Zakaria. (2022). A new common spatial pattern-based unified channels algorithm for driver’s fatigue EEG signals classification. Neural Computing and Applications. 35(2). 1423–1445. 1 indexed citations

16.

Long, Houyin, et al.. (2021). Water footprint and virtual water flows embodied in China's supply chain. International Journal of Logistics Research and Applications. 25(4-5). 930–945. 5 indexed citations

17.

Zeng, Hong, Jiaming Zhang, Wael Zakaria, et al.. (2020). InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection. Sensors. 20(24). 7251–7251. 20 indexed citations

18.

Dai, Guojun, et al.. (2020). EEG-based emotion recognition using 4D convolutional recurrent neural network. Cognitive Neurodynamics. 14(6). 815–828. 146 indexed citations

19.

Zeng, Hong, et al.. (2020). Implementation of escape room system based on augmented reality involving deep convolutional neural network. Virtual Reality. 25(3). 585–596. 10 indexed citations

20.

Jing, Xiaoyang, Hong Zeng, Sheng Wang, & Jinbo Xu. (2019). A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning. Methods in molecular biology. 2074. 67–80. 9 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