Pan Zeng

2.4k total citations · 1 hit paper
34 papers, 1.5k citations indexed

About

Pan Zeng is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Pan Zeng has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Electrical and Electronic Engineering and 7 papers in Management Science and Operations Research. Recurrent topics in Pan Zeng's work include Energy Load and Power Forecasting (11 papers), RNA and protein synthesis mechanisms (6 papers) and Grey System Theory Applications (5 papers). Pan Zeng is often cited by papers focused on Energy Load and Power Forecasting (11 papers), RNA and protein synthesis mechanisms (6 papers) and Grey System Theory Applications (5 papers). Pan Zeng collaborates with scholars based in China, United Kingdom and United States. Pan Zeng's co-authors include Qinghua Cui, Yuan Zhou, Yanhui Li, Ziding Zhang, Jianwei Li, Wei Ma, Min Jin, Jichun Yang, Bin Geng and Junyi Wang and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Pan Zeng

34 papers receiving 1.5k citations

Hit Papers

SRAMP: prediction of mammalian N6-methyladenosine (m6A) s... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Zeng China 15 1.2k 595 205 146 58 34 1.5k
Brian J. Parker Australia 19 1.4k 1.2× 637 1.1× 219 1.1× 139 1.0× 52 0.9× 49 2.0k
Xiaofeng Song China 24 1.9k 1.6× 1.2k 2.1× 38 0.2× 345 2.4× 36 0.6× 86 2.5k
Weitong Zhang China 19 409 0.3× 114 0.2× 262 1.3× 163 1.1× 23 0.4× 60 1.0k
Guanghui Li China 19 737 0.6× 479 0.8× 61 0.3× 51 0.3× 15 0.3× 66 977
Ha X. Dang United States 18 899 0.8× 843 1.4× 34 0.2× 223 1.5× 12 0.2× 40 1.7k
Yanyan Zhang China 25 696 0.6× 378 0.6× 74 0.4× 84 0.6× 53 0.9× 94 1.5k
Peng Du China 21 2.5k 2.1× 1.2k 2.0× 330 1.6× 187 1.3× 35 0.6× 58 2.9k
Hao Zhu China 19 730 0.6× 383 0.6× 42 0.2× 27 0.2× 20 0.3× 74 1.1k
Miao Chen China 18 508 0.4× 123 0.2× 125 0.6× 135 0.9× 11 0.2× 60 958

Countries citing papers authored by Pan Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Pan Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Zeng. A scholar is included among the top collaborators of Pan 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 Pan Zeng. Pan Zeng 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.
Meng, Yajie, Yi Wang, Xinrong Hu, et al.. (2025). Adaptive debiasing learning for drug repositioning. Journal of Biomedical Informatics. 167. 104843–104843. 2 indexed citations
2.
Zeng, Pan, et al.. (2024). Residual BiLSTM based hybrid model for short-term load forecasting in buildings. Journal of Building Engineering. 99. 111593–111593. 4 indexed citations
3.
Zeng, Pan, et al.. (2024). Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network. Computers & Electrical Engineering. 119. 109631–109631. 6 indexed citations
4.
Zeng, Pan, et al.. (2024). VMD-based iterative Boruta feature extraction and CNNA-BiLSTM for short-term load forecasting. Electric Power Systems Research. 238. 111172–111172. 4 indexed citations
5.
Zeng, Pan, Bofei Zhang, Yajie Meng, et al.. (2024). Drug repositioning based on tripartite cross-network embedding and graph convolutional network. Expert Systems with Applications. 252. 124152–124152. 12 indexed citations
6.
Wang, Yi, Yajie Meng, Xianfang Tang, et al.. (2024). Automatic collaborative learning for drug repositioning. Engineering Applications of Artificial Intelligence. 139. 109653–109653. 8 indexed citations
7.
Tang, Xianfang, Pan Zeng, Yajie Meng, et al.. (2024). SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(5). 3609–3618. 4 indexed citations
8.
Zeng, Pan, Xianhong Ge, & Zaiyun Li. (2023). Transcriptional Interactions of Single B-Subgenome Chromosome with C-Subgenome in B. oleracea-nigra Additional Lines. Plants. 12(10). 2029–2029. 1 indexed citations
9.
Wang, Shigong, Pan Zeng, Xiaohua Zhu, et al.. (2020). Chimeric Peptides Self-Assembling on Titanium Carbide MXenes as Biosensing Interfaces for Activity Assay of Post-translational Modification Enzymes. Analytical Chemistry. 92(13). 8819–8826. 32 indexed citations
10.
Zhu, Bin, Qi Pan, Dongao Huo, et al.. (2019). Transcriptional Aneuploidy Responses of Brassica rapa-oleracea Monosomic Alien Addition Lines (MAALs) Derived From Natural Allopolyploid B. napus. Frontiers in Genetics. 10. 67–67. 9 indexed citations
11.
Chen, Shumin, Lei Zhang, Yong Liu, et al.. (2018). Unstable Allotetraploid Tobacco Genome due to Frequent Homeologous Recombination, Segmental Deletion, and Chromosome Loss. Molecular Plant. 11(7). 914–927. 19 indexed citations
12.
Zeng, Pan, Ji Chen, Yuhong Meng, et al.. (2018). Defining Essentiality Score of Protein-Coding Genes and Long Noncoding RNAs. Frontiers in Genetics. 9. 380–380. 21 indexed citations
13.
Zhu, Bin, Yang Xiang, Pan Zeng, et al.. (2018). Genome-Wide Gene Expression Disturbance by Single A1/C1 Chromosome Substitution in Brassica rapa Restituted From Natural B. napus. Frontiers in Plant Science. 9. 377–377. 6 indexed citations
14.
Liu, Xinhua, Pan Zeng, Qinghua Cui, & Yuan Zhou. (2017). Comparative analysis of genes frequently regulated by drugs based on connectivity map transcriptome data. PLoS ONE. 12(6). e0179037–e0179037. 9 indexed citations
15.
Zhou, Yuan, Pan Zeng, Yanhui Li, Ziding Zhang, & Qinghua Cui. (2016). SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features. Nucleic Acids Research. 44(10). e91–e91. 703 indexed citations breakdown →
16.
Guo, Sisi, Yuan Zhou, Pan Zeng, et al.. (2016). Identification and analysis of the human sex-biased genes. Briefings in Bioinformatics. 19(2). bbw125–bbw125. 24 indexed citations
17.
Zeng, Pan & Qinghua Cui. (2016). Rsite2: an efficient computational method to predict the functional sites of noncoding RNAs. Scientific Reports. 6(1). 19016–19016. 31 indexed citations
18.
Zeng, Pan, Jianwei Li, Wei Ma, & Qinghua Cui. (2015). Rsite: a computational method to identify the functional sites of noncoding RNAs. Scientific Reports. 5(1). 9179–9179. 33 indexed citations
19.
Liu, Bin, Min Jin, & Pan Zeng. (2015). Prioritization of candidate disease genes by combining topological similarity and semantic similarity. Journal of Biomedical Informatics. 57. 1–5. 14 indexed citations
20.
Li, Jianwei, Wei Ma, Pan Zeng, et al.. (2014). LncTar: a tool for predicting the RNA targets of long noncoding RNAs. Briefings in Bioinformatics. 16(5). 806–812. 314 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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