Enguang Zuo

667 total citations
51 papers, 391 citations indexed

About

Enguang Zuo is a scholar working on Artificial Intelligence, Biophysics and Molecular Biology. According to data from OpenAlex, Enguang Zuo has authored 51 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Biophysics and 15 papers in Molecular Biology. Recurrent topics in Enguang Zuo's work include Spectroscopy Techniques in Biomedical and Chemical Research (16 papers), Spectroscopy and Chemometric Analyses (13 papers) and Anomaly Detection Techniques and Applications (7 papers). Enguang Zuo is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (16 papers), Spectroscopy and Chemometric Analyses (13 papers) and Anomaly Detection Techniques and Applications (7 papers). Enguang Zuo collaborates with scholars based in China, Macao and United States. Enguang Zuo's co-authors include Cheng Chen, Chen Chen, Xiaoyi Lv, Pei Liu, Bo Chen, Xiaoyi Lv, Zhiyuan Cheng, Hongyi Li, Zhongyuan Li and Hongtao Li and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Enguang Zuo

42 papers receiving 385 citations

Peers

Enguang Zuo
Juanxiu Liu China
Zhongqiang Li United States
Marie-Louise O’Connell Ireland
Lilla Alexandra Mészáros Hungary
Habil Kalkan Türkiye
Jatinder Manhas India
A. Murugan India
Peng Wan China
Walker H. Land United States
Juanxiu Liu China
Enguang Zuo
Citations per year, relative to Enguang Zuo Enguang Zuo (= 1×) peers Juanxiu Liu

Countries citing papers authored by Enguang Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Enguang Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enguang Zuo

This figure shows the co-authorship network connecting the top 25 collaborators of Enguang Zuo. A scholar is included among the top collaborators of Enguang Zuo 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 Enguang Zuo. Enguang Zuo 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.
Chen, Chen, et al.. (2025). High-order graph convolutional networks for circular Ribonucleic Acid and disease association prediction incorporating multiple biological relationships. Engineering Applications of Artificial Intelligence. 146. 110303–110303. 1 indexed citations
2.
Chen, Jinchao, Pei Liu, Chen Chen, et al.. (2025). TDMFS: Tucker decomposition multimodal fusion model for pan-cancer survival prediction. Artificial Intelligence in Medicine. 162. 103099–103099.
3.
Cheng, Zhiyuan, Fangfang Chen, Enguang Zuo, et al.. (2025). The MLSE-SCAM architecture combines with the improved DRSN-TIC model for Raman spectroscopy small-sample data learning. Expert Systems with Applications. 279. 127462–127462. 1 indexed citations
4.
Li, Min, et al.. (2024). ASFFuse: Infrared and visible image fusion model based on adaptive selection feature maps. Pattern Recognition. 149. 110226–110226. 9 indexed citations
5.
Zuo, Enguang, et al.. (2024). DSFusion: Infrared and visible image fusion method combining detail and scene information. Pattern Recognition. 154. 110633–110633. 14 indexed citations
6.
Wang, Wenyan, Enguang Zuo, Chen Chen, et al.. (2024). Efficient time series adaptive representation learning via Dynamic Routing Sparse Attention. Pattern Recognition. 158. 111058–111058. 1 indexed citations
7.
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9.
Wang, Wenyan, Enguang Zuo, Ruiting Wang, et al.. (2024). Bi-Branching Feature Interaction Representation Learning for Multivariate Time Series. Applied Soft Computing. 167. 112383–112383.
10.
Zhou, Xuguang, et al.. (2024). Cross Branch Co-Attention Network multimodal models based on Raman and FTIR spectroscopy for diagnosis of multiple selected cancers. Applied Soft Computing. 166. 112204–112204. 5 indexed citations
11.
Li, Min, et al.. (2024). DCFusion: Difference correlation-driven fusion mechanism of infrared and visible images. Pattern Recognition. 158. 111002–111002. 3 indexed citations
12.
Chen, Cheng, Mingtao Wu, Enguang Zuo, et al.. (2024). Diagnosis of systemic lupus erythematosus using cross-modal specific transfer fusion technology based on infrared spectra and metabolomics. Analytica Chimica Acta. 1330. 343302–343302. 3 indexed citations
13.
Chen, Chen, et al.. (2023). R-GDORUS technology: Effectively solving the Raman spectral data imbalance in medical diagnosis. Chemometrics and Intelligent Laboratory Systems. 235. 104762–104762. 10 indexed citations
14.
Wang, Xuehua, Cheng Chen, Chen Chen, et al.. (2023). Novel SERS biosensor for rapid detection of breast cancer based on Ag2O-Ag-PSi nanochips. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 303. 123226–123226. 7 indexed citations
15.
Zuo, Enguang, et al.. (2023). MFAD: a graph anomaly detection framework based on multi-frequency reconstruction. 133–133. 1 indexed citations
16.
Li, Hongyi, Enguang Zuo, Tianle Li, et al.. (2023). CSGNN: Contamination Warning and Control of Food Quality via Contrastive Self-Supervised Learning-Based Graph Neural Network. Foods. 12(5). 1048–1048. 4 indexed citations
17.
Shuai, Wei, Chen Chen, Enguang Zuo, et al.. (2023). Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning. Photodiagnosis and Photodynamic Therapy. 45. 103885–103885. 10 indexed citations
18.
Chen, Chen, Enguang Zuo, Lijun Wu, et al.. (2023). Tensor product graph diffusion based on nonlinear fusion of multi-source information to predict circRNA-disease associations. Applied Soft Computing. 152. 111215–111215. 2 indexed citations
19.
Liu, Yue, Chen Chen, Enguang Zuo, et al.. (2023). A prospective study: Advances in chaotic characteristics of serum Raman spectroscopy in the field of assisted diagnosis of disease. Expert Systems with Applications. 238. 121787–121787. 6 indexed citations
20.

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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