Zu‐Guo Yu

2.8k total citations
139 papers, 2.1k citations indexed

About

Zu‐Guo Yu is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Zu‐Guo Yu has authored 139 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 34 papers in Statistical and Nonlinear Physics and 34 papers in Economics and Econometrics. Recurrent topics in Zu‐Guo Yu's work include Machine Learning in Bioinformatics (41 papers), Fractal and DNA sequence analysis (38 papers) and Complex Systems and Time Series Analysis (33 papers). Zu‐Guo Yu is often cited by papers focused on Machine Learning in Bioinformatics (41 papers), Fractal and DNA sequence analysis (38 papers) and Complex Systems and Time Series Analysis (33 papers). Zu‐Guo Yu collaborates with scholars based in China, Australia and Hong Kong. Zu‐Guo Yu's co-authors include Vo Anh, Ka‐Sing Lau, Yu Zhou, Jianyi Yang, Yee Leung, Chong‐Yu Xu, Liqian Zhou, Qiang Zhang, Fu-Yao Ren and Guosheng Han and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Geophysical Research Atmospheres and Bioinformatics.

In The Last Decade

Zu‐Guo Yu

131 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zu‐Guo Yu China 26 1.1k 528 504 167 162 139 2.1k
Krzysztof Burnecki Poland 20 591 0.5× 529 1.0× 600 1.2× 22 0.1× 106 0.7× 72 1.8k
Douglas P. Hardin United States 27 531 0.5× 114 0.2× 376 0.7× 277 1.7× 98 0.6× 99 3.3k
Marcin Magdziarz Poland 27 562 0.5× 392 0.7× 939 1.9× 47 0.3× 164 1.0× 76 2.1k
Andrzej Lasota Poland 24 257 0.2× 189 0.4× 1.2k 2.5× 519 3.1× 120 0.7× 97 3.3k
Yury A. Kutoyants France 16 171 0.2× 159 0.3× 250 0.5× 73 0.4× 54 0.3× 89 2.1k
Fima C. Klebaner Australia 18 115 0.1× 178 0.3× 224 0.4× 86 0.5× 152 0.9× 113 1.8k
Olav Kallenberg United States 20 180 0.2× 257 0.5× 279 0.6× 320 1.9× 216 1.3× 81 3.5k
David Applebaum United Kingdom 15 130 0.1× 285 0.5× 363 0.7× 473 2.8× 45 0.3× 64 2.9k
Donald A. Dawson Canada 26 178 0.2× 165 0.3× 374 0.7× 225 1.3× 520 3.2× 125 2.5k
Vo Anh Australia 51 952 0.9× 786 1.5× 1.3k 2.6× 400 2.4× 147 0.9× 317 10.5k

Countries citing papers authored by Zu‐Guo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zu‐Guo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zu‐Guo Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zu‐Guo Yu. A scholar is included among the top collaborators of Zu‐Guo Yu 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 Zu‐Guo Yu. Zu‐Guo Yu 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.
Li, Jianhui, et al.. (2025). Optimizing Neighborhood Area Network Topology for Enhanced Communication in Smart Grid. IEEE Transactions on Consumer Electronics. 71(2). 2726–2737.
2.
Kao, Wei‐Chen, Zu‐Guo Yu, Kaimin Shih, et al.. (2025). Innovative chips for coral cultivation: Enhanced flexibility and experimental applications. Methods in Ecology and Evolution. 16(4). 707–714.
3.
Shang, Xiaobang, Yateendra Mishra, Yin Yang, et al.. (2025). Optimal Coordinated Scheduling of Electric Vehicles and Battery Energy Storage Systems. IEEE Transactions on Consumer Electronics. 71(2). 2944–2954.
4.
Yu, Zu‐Guo, et al.. (2025). A new fractional-order anomalous epidemic model on complex networks based on continuous-time random walk and its dynamics. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(11). 1 indexed citations
5.
Yuan, Bo, et al.. (2025). Multifractal detrended fluctuation and rank-based analyses of time series generated by unbiased random walks on complex networks. Communications in Nonlinear Science and Numerical Simulation. 147. 108831–108831.
7.
Wang, Ting, Zu‐Guo Yu, & Jinyan Li. (2024). CGRWDL: alignment-free phylogeny reconstruction method for viruses based on chaos game representation weighted by dynamical language model. Frontiers in Microbiology. 15. 1339156–1339156. 3 indexed citations
9.
Lin, Xuan, Lihua Dai, Yafang Zhou, et al.. (2023). Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction. Briefings in Bioinformatics. 24(4). 53 indexed citations
10.
Tian, Yu‐Chu, et al.. (2023). Memory sharing for handling memory overload on physical machines in cloud data centers. Journal of Cloud Computing Advances Systems and Applications. 12(1). 2 indexed citations
11.
Zeng, Li, Yang Liu, Zu‐Guo Yu, & Yuansheng Liu. (2022). iEnhancer-DLRA: identification of enhancers and their strengths by a self-attention fusion strategy for local and global features. Briefings in Functional Genomics. 21(5). 399–407. 6 indexed citations
12.
Luo, Wei, et al.. (2022). CNNLSTMac4CPred: A Hybrid Model for N4-Acetylcytidine Prediction. Interdisciplinary Sciences Computational Life Sciences. 14(2). 439–451. 9 indexed citations
13.
Yu, Zu‐Guo, et al.. (2021). An Information-Entropy Position-Weighted K-Mer Relative Measure for Whole Genome Phylogeny Reconstruction. Frontiers in Genetics. 12. 766496–766496. 2 indexed citations
14.
Liu, Yuansheng, Zu‐Guo Yu, Marcel E. Dinger, & Jinyan Li. (2018). Index suffix–prefix overlaps by (w, k)-minimizer to generate long contigs for reads compression. Bioinformatics. 35(12). 2066–2074. 25 indexed citations
15.
Yu, Zu‐Guo, et al.. (2014). A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC. Science & Engineering Faculty. 7 indexed citations
16.
Hui, Jerome H. L., et al.. (2014). VIP Barcoding: Composition vector-based software for rapid species identification based on DNA barcoding. Science & Engineering Faculty. 1 indexed citations
17.
Yu, Zu‐Guo, et al.. (2014). Topological properties and fractal analysis of a recurrence network constructed from fractional Brownian motions. Physical Review E. 89(3). 32814–32814. 34 indexed citations
18.
19.
Yu, Zu‐Guo & Vo Anh. (2004). Phylogenetic tree of prokaryotes based on complete genomes using fractal and correlation analyses. 321–326. 3 indexed citations
20.
Yu, Zu‐Guo, Vo Anh, & Ka‐Sing Lau. (2003). Multifractal and correlation analyses of protein sequences from complete genomes. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(2). 21913–21913. 62 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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