Yuzhong Peng

728 total citations
30 papers, 457 citations indexed

About

Yuzhong Peng is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Yuzhong Peng has authored 30 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Yuzhong Peng's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (4 papers) and Hydrological Forecasting Using AI (3 papers). Yuzhong Peng is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (4 papers) and Hydrological Forecasting Using AI (3 papers). Yuzhong Peng collaborates with scholars based in China, Macao and Hong Kong. Yuzhong Peng's co-authors include Hongsong Chen, Sheng Wang, Jinjiao Lian, Baoqing Hu, Changan Yuan, Xiao Qin, Jiangtao Huang, Ru Zhang, Tao Wu and Huang Yi-ran and has published in prestigious journals such as PLoS ONE, IEEE Access and Molecules.

In The Last Decade

Yuzhong Peng

26 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuzhong Peng China 12 138 84 79 67 58 30 457
Manisha Sirsat Spain 8 127 0.9× 24 0.3× 14 0.2× 32 0.5× 63 1.1× 12 627
Enas Elgeldawi Egypt 7 153 1.1× 21 0.3× 112 1.4× 101 1.5× 33 0.6× 13 505
Xupeng Wang China 15 212 1.5× 10 0.1× 38 0.5× 27 0.4× 49 0.8× 77 772
Shuai Yang China 13 172 1.2× 25 0.3× 61 0.8× 14 0.2× 25 0.4× 47 391
Hanli Qiao China 8 117 0.8× 28 0.3× 22 0.3× 29 0.4× 60 1.0× 16 496
Tobias Pielok Germany 2 135 1.0× 21 0.3× 33 0.4× 14 0.2× 33 0.6× 2 434
Yingchun Xia China 5 209 1.5× 22 0.3× 48 0.6× 61 0.9× 24 0.4× 12 493
Ding Zhang China 11 32 0.2× 69 0.8× 38 0.5× 73 1.1× 17 0.3× 41 482
Yashuang Mu China 8 139 1.0× 11 0.1× 55 0.7× 58 0.9× 20 0.3× 25 438

Countries citing papers authored by Yuzhong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yuzhong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yuzhong Peng. A scholar is included among the top collaborators of Yuzhong 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 Yuzhong Peng. Yuzhong Peng 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.
Huang, Yu‐An, Lun Hu, Pengwei Hu, et al.. (2025). Consensus representation of multiple cell–cell graphs from gene signaling pathways for cell type annotation. BMC Biology. 23(1). 23–23. 7 indexed citations
2.
Li, Lei, Jingbo Zhou, Yuzhong Peng, et al.. (2025). Proteasomes suppress anticancer drug-induced cytotoxicity by inhibiting mitochondrial protein import and promoting ROS-BNIP3-mediated mitophagy. Drug Resistance Updates. 83. 101294–101294.
3.
He, Lin, Yuzhong Peng, Louise Leong, et al.. (2025). CDK4/6 Inhibition Induces CD8 + T Cell Antitumor Immunity via MIF‐Induced Functional Orchestration of Tumor‐Associated Macrophages. Advanced Science. e11330–e11330.
4.
Zhang, Ru, et al.. (2024). MvMRL: a multi-view molecular representation learning method for molecular property prediction. Briefings in Bioinformatics. 25(4). 39 indexed citations
5.
Zhang, Ru, et al.. (2024). GCCNet: A Novel Network Leveraging Gated Cross-Correlation for Multi-View Classification. IEEE Transactions on Multimedia. 27. 1086–1099. 19 indexed citations
6.
Peng, Yuzhong, et al.. (2023). MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model. BMC Medical Informatics and Decision Making. 23(1). 82–82. 11 indexed citations
7.
Rehman, Abdur, Israr Fatima, Yinuo Wang, et al.. (2023). Unveiling the multi-target compounds of Rhazya stricta: Discovery and inhibition of novel target genes for the treatment of clear cell renal cell carcinoma. Computers in Biology and Medicine. 165. 107424–107424. 7 indexed citations
8.
Peng, Yuzhong, et al.. (2023). CDSC: Causal decomposition based on spectral clustering. Information Sciences. 657. 119985–119985. 3 indexed citations
10.
Liu, Yang, Shaojie Qiao, Meiqi Liu, et al.. (2022). Imbalanced data classification: Using transfer learning and active sampling. Engineering Applications of Artificial Intelligence. 117. 105621–105621. 39 indexed citations
11.
Peng, Yuzhong, et al.. (2021). An automatic hyperparameter optimization DNN model for precipitation prediction. Applied Intelligence. 52(3). 2703–2719. 20 indexed citations
12.
Peng, Yuzhong, et al.. (2020). TOP: A deep mixture representation learning method for boosting molecular toxicity prediction. Methods. 179. 55–64. 22 indexed citations
13.
Yuan, Cheng, et al.. (2020). Boosting n-octanol/water Partition Coefficients Prediction with An Improved Gene Expression Programming Method. Journal of Physics Conference Series. 1486(4). 42042–42042. 1 indexed citations
14.
Zhang, Bingbing, Rebecca L.D. Kan, Jiaqi Zhang, et al.. (2019). The effects of action observation training on improving upper limb motor functions in people with stroke: A systematic review and meta-analysis. PLoS ONE. 14(8). e0221166–e0221166. 33 indexed citations
15.
Peng, Yuzhong, et al.. (2019). TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning. 318–325. 7 indexed citations
16.
Wang, Sheng, Jinjiao Lian, Yuzhong Peng, Baoqing Hu, & Hongsong Chen. (2019). Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China. Agricultural Water Management. 221. 220–230. 96 indexed citations
17.
Yi-ran, Huang, Cheng Zhong, Hai Xiang Lin, Jianyi Wang, & Yuzhong Peng. (2018). Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping. Molecules. 23(2). 486–486. 2 indexed citations
18.
Peng, Shiguo, et al.. (2017). Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis. IEEE Access. 5. 20009–20019. 5 indexed citations
19.
Peng, Yuzhong, et al.. (2011). Bacterial Foraging Algorithm Based on PSO and Opposition-based Learning. 37(23). 171–173. 1 indexed citations
20.
Peng, Yuzhong, Changan Yuan, Yan Wang, & Xiao Qin. (2008). SGDE-GEP: A Novel Algorithm of GEP. 419–422. 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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