Hong Peng

5.0k total citations
198 papers, 3.7k citations indexed

About

Hong Peng is a scholar working on Molecular Biology, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Hong Peng has authored 198 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 51 papers in Artificial Intelligence and 45 papers in Electrical and Electronic Engineering. Recurrent topics in Hong Peng's work include DNA and Biological Computing (77 papers), Advanced biosensing and bioanalysis techniques (45 papers) and Advanced Memory and Neural Computing (37 papers). Hong Peng is often cited by papers focused on DNA and Biological Computing (77 papers), Advanced biosensing and bioanalysis techniques (45 papers) and Advanced Memory and Neural Computing (37 papers). Hong Peng collaborates with scholars based in China, Spain and Australia. Hong Peng's co-authors include Jun Wang, Mario J. Pérez-Jímenez, Agustín Riscos–Núñez, Peng Shi, Xiaohui Luo, Qian Yang, Xiaoxiao Song, Bo Li, Tao Wang and Luis Valencia–Cabrera and has published in prestigious journals such as Journal of Hydrology, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hong Peng

173 papers receiving 3.6k citations

Peers

Hong Peng

EEE

CVPR

Linqiang Pan China

Yuehui Chen China

Siheng Chen China

Mai S. Mabrouk Egypt

Zheng Zhao United States

Chee‐Kheong Siew Singapore

Jie Gui China

Leilei Cao China

Yuan Lan China

Linqiang Pan China

Hong Peng

4.4k ×2.4

1.1k ×1.1

EEE

960 ×1.2

2.0k ×2.6

171 ×0.3

CVPR

Citations per year, relative to Hong Peng Hong Peng (= 1×) peers Linqiang Pan

Countries citing papers authored by Hong Peng

Since Specialization

Citations

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

Fields of papers citing papers by Hong Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Peng

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

He, Mingguang, et al.. (2025). A novel multi-scale salient object detection framework utilizing nonlinear spiking neural P systems. Neurocomputing. 634. 129821–129821.

Peng, Hong, et al.. (2025). Enhanced multi-Scale Dynamic Facial Expression Recognition via Conditional Random Fields. The Visual Computer. 41(15). 12905–12916. 1 indexed citations

Li, Bin, et al.. (2025). Knowledge Graph Embedding Model Based on Spiking Neural-like Graph Attention Network for Relation Prediction. International Journal of Neural Systems. 36(3). 2550078–2550078.

Wang, Li, et al.. (2025). A Salient Object Detection Network Enhanced by Nonlinear Spiking Neural Systems and Transformer. International Journal of Neural Systems. 35(11). 2550045–2550045.

Peng, Hong, et al.. (2024). A semantic segmentation method integrated convolutional nonlinear spiking neural model with Transformer. Computer Vision and Image Understanding. 249. 104196–104196. 5 indexed citations

Peng, Hong, et al.. (2024). K-order echo-type spiking neural P systems for time series forecasting. Neurocomputing. 610. 128613–128613.

Peng, Hong, et al.. (2024). Spiking neural self-attention network for sequence recommendation. Applied Soft Computing. 169. 112623–112623. 4 indexed citations

Zhou, Chi, et al.. (2024). Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model. Neural Networks. 177. 106366–106366. 13 indexed citations

Yang, Bo, et al.. (2024). Industrial defect detection and location based on greedy membrane clustering algorithm. Digital Signal Processing. 149. 104470–104470. 4 indexed citations

10.

Liu, Qian, et al.. (2024). Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems. Applied Soft Computing. 152. 111231–111231. 12 indexed citations

11.

Jiang, Anna, Wanshun Zhang, Xin Liu, et al.. (2024). Improving hydrological process simulation in mountain watersheds: Integrating WRF model gridded precipitation data into the SWAT model. Journal of Hydrology. 639. 131687–131687. 9 indexed citations

12.

Peng, Hong, et al.. (2024). A Parallel Convolutional Network Based on Spiking Neural Systems. International Journal of Neural Systems. 34(5). 2450022–2450022. 13 indexed citations

13.

Peng, Hong, et al.. (2024). Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models. International Journal of Neural Systems. 34(6). 2450032–2450032. 7 indexed citations

14.

Peng, Hong, et al.. (2024). Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model. International Journal of Neural Systems. 34(10). 2450051–2450051. 9 indexed citations

15.

Liu, Qian, et al.. (2023). Sentiment classification using bidirectional LSTM-SNP model and attention mechanism. Expert Systems with Applications. 221. 119730–119730. 46 indexed citations

16.

Xiong, Xin, Min Wu, Hong Peng, et al.. (2023). Time series classification models based on nonlinear spiking neural P systems. Engineering Applications of Artificial Intelligence. 129. 107603–107603. 3 indexed citations

17.

Xiong, Xin, et al.. (2023). Feature fusion method based on spiking neural convolutional network for edge detection. Pattern Recognition. 147. 110112–110112. 31 indexed citations

18.

Peng, Hong, et al.. (2019). Small universal asynchronous spiking neural P systems with multiple channels. Neurocomputing. 378. 1–8. 23 indexed citations

19.

Peng, Hong & Jun Wang. (2018). Coupled Neural P Systems. IEEE Transactions on Neural Networks and Learning Systems. 30(6). 1672–1682. 101 indexed citations

20.

Tian, Shimin, et al.. (2013). Comparison of Traditional Methods and Fractal Dimension Method in River Pattern Discrimination. Research Journal of Applied Sciences Engineering and Technology. 5(23). 5450–5456. 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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