Maozu Guo

5.2k total citations · 1 hit paper
214 papers, 3.7k citations indexed

About

Maozu Guo is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Maozu Guo has authored 214 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Molecular Biology, 48 papers in Artificial Intelligence and 27 papers in Computational Theory and Mathematics. Recurrent topics in Maozu Guo's work include Bioinformatics and Genomic Networks (71 papers), Gene expression and cancer classification (47 papers) and Machine Learning in Bioinformatics (41 papers). Maozu Guo is often cited by papers focused on Bioinformatics and Genomic Networks (71 papers), Gene expression and cancer classification (47 papers) and Machine Learning in Bioinformatics (41 papers). Maozu Guo collaborates with scholars based in China, United States and Saudi Arabia. Maozu Guo's co-authors include Quan Zou, Qinghua Hu, Guoxian Yu, Chunyu Wang, Xiaoyan Liu, Jun Wang, Ping Xuan, Xiangxiang Zeng, Wei Lin and Daren Yu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Maozu Guo

200 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data

2025 22 citations Maozu Guo et al. profile →

Peers

Countries citing papers authored by Maozu Guo

Since Specialization

Citations

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

Fields of papers citing papers by Maozu Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maozu Guo

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

#	Work	Indexed citations
1	Multi-domain physics-based loss design for seismic response prediction 2025 ·Computers & Structures ·Maozu Guo, (unknown), Han Miao, Yang Deng, Kaifeng Liu, Junkun Yan, Lingling Zhao	0
2	Extraction and reconstruction of variable-coefficient governing equations using Res-KAN integrating sparse regression 2025 ·Physica D Nonlinear Phenomena ·Maozu Guo, Xing Lü, (unknown)	1
3	BAMRE: Joint extraction model of Chinese medical entities and relations based on Biaffine transformation with relation attention 2024 ·Journal of Biomedical Informatics ·Jiaqi Sun, Chen Zhang, (unknown), (unknown), (unknown), Maozu Guo	1
4	Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism 2024 ·IEEE Access ·(unknown), (unknown), Maozu Guo	1
5	Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo	11
6	A Multi-Feature and Dual-Attribute Interaction Aggregation Model for Predicting Drug-Target Interactions 2024 ·IEEE Access ·(unknown), (unknown), Longbo Zhang, (unknown), Maozu Guo, (unknown)	1
7	Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction 2024 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Yang Liu, Xiaoyan Liu, (unknown), Gaurav Sharma, (unknown), Maozu Guo	0
8	BIM product recommendation for intelligent design using style learning 2023 ·Journal of Building Engineering ·Xiaoping Zhou, (unknown), Mengmeng Wang, Maozu Guo, (unknown), (unknown), (unknown)	7
9	A gene regulatory network inference model based on pseudo-siamese network 2023 ·BMC Bioinformatics ·Qian Wang, Maozu Guo, Jian Chen, Ran Duan	6
10	Reinforcement Causal Structure Learning on Order Graph 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Dezhi Yang, (unknown), Jun Wang, Zhengtian Wu, Maozu Guo	9
11	ColonNet: A novel polyp segmentation framework based on LK-RFB and GPPD 2023 ·Computers in Biology and Medicine ·(unknown), Weifeng Liu, Yue Zhang, Yang Li, Gongning Luo, Kuanquan Wang, Maozu Guo	1
12	HetFCM: functional co-module discovery by heterogeneous network co-clustering 2023 ·Nucleic Acids Research ·(unknown), Maozu Guo, Jian Chen, Jun Wang, Guoxian Yu	2
13	Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs 2022 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Yang Liu, (unknown), (unknown), Gaurav Sharma, Maozu Guo	15
14	FPSC-DTI: drug–target interaction prediction based on feature projection fuzzy classification and super cluster fusion 2020 ·Molecular Omics ·Donghua Yu, Guojun Liu, Ning Zhao, Xiaoyan Liu, Maozu Guo	7
15	A Literature Review of Gene Function Prediction by Modeling Gene Ontology 2020 ·Frontiers in Genetics ·(unknown), Jun Wang, Jian Chen, Xiangliang Zhang, Maozu Guo, Guoxian Yu	64
16	A comprehensive overview and evaluation of circular RNA detection tools 2017 ·PLoS Computational Biology ·Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou	289
17	Integrating multiple networks for protein function prediction 2015 ·BMC Systems Biology ·Guoxian Yu, Hailong Zhu, Carlotta Domeniconi, Maozu Guo	24
18	Identification of Plant Resistance Gene with Random Forest 2012 ·Jisuanji kexue yu tansuo ·Maozu Guo	2
19	MaturePred: Efficient Identification of MicroRNAs within Novel Plant Pre-miRNAs 2011 ·PLoS ONE ·Ping Xuan, Maozu Guo, (unknown), (unknown), Wenbin Li, Yufei Huang	53
20	A Review of Phylogenetic Tree Reconstruction Technology 2006 ·Dianzi xuebao ·Maozu Guo	0

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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