Zhigao Guo

505 total citations · 1 hit paper
16 papers, 278 citations indexed

About

Zhigao Guo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Zhigao Guo has authored 16 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Management Science and Operations Research. Recurrent topics in Zhigao Guo's work include Bayesian Modeling and Causal Inference (12 papers), Rough Sets and Fuzzy Logic (3 papers) and Data Quality and Management (3 papers). Zhigao Guo is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), Rough Sets and Fuzzy Logic (3 papers) and Data Quality and Management (3 papers). Zhigao Guo collaborates with scholars based in China and United Kingdom. Zhigao Guo's co-authors include Neville K. Kitson, Anthony C. Constantinou, Yang Liu, Xiaoguang Gao, Yang Yu, Daqing Chen, Hao Ren, Kaifang Wan, Xiaoguang Gao and Yu Yang and has published in prestigious journals such as Pattern Recognition, Artificial Intelligence Review and International Journal of Approximate Reasoning.

In The Last Decade

Zhigao Guo

16 papers receiving 263 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.

A survey of Bayesian Network structure learning

2023 143 citations Neville K. Kitson, Anthony C. Constantinou et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhigao Guo China	7	149	45	32	31	30	16	278
Severino F. Galán Spain	11	171 1.1×	37 0.8×	20 0.6×	42 1.4×	46 1.5×	18	323
Jiwen Guan United Kingdom	4	144 1.0×	46 1.0×	37 1.2×	45 1.5×	24 0.8×	10	263
Alexandra A. Vagis Ukraine	3	183 1.2×	48 1.1×	42 1.3×	14 0.5×	29 1.0×	11	342
Krzysztof Trawiński Spain	9	133 0.9×	32 0.7×	24 0.8×	22 0.7×	13 0.4×	21	271
Paul-André Monney Switzerland	9	202 1.4×	96 2.1×	21 0.7×	54 1.7×	43 1.4×	16	299
Serafín Moral‐García Spain	9	136 0.9×	40 0.9×	40 1.3×	26 0.8×	8 0.3×	22	264
Xuhui Shao United States	7	109 0.7×	45 1.0×	16 0.5×	11 0.4×	11 0.4×	9	299
Vincent C. Yen United States	7	82 0.6×	88 2.0×	32 1.0×	39 1.3×	21 0.7×	19	293
Hanna Wasyluk Poland	7	168 1.1×	50 1.1×	79 2.5×	46 1.5×	81 2.7×	11	355

Countries citing papers authored by Zhigao Guo

Since Specialization

Citations

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

Fields of papers citing papers by Zhigao Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhigao Guo

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

16 of 16 papers shown

1.

Constantinou, Anthony C., Zhigao Guo, & Neville K. Kitson. (2023). The impact of prior knowledge on causal structure learning. Knowledge and Information Systems. 65(8). 3385–3434. 18 indexed citations

2.

Kitson, Neville K., et al.. (2023). A survey of Bayesian Network structure learning. Artificial Intelligence Review. 56(8). 8721–8814. 143 indexed citations breakdown →

3.

Constantinou, Anthony C., et al.. (2022). Effective and efficient structure learning with pruning and model averaging strategies. International Journal of Approximate Reasoning. 151. 292–321. 13 indexed citations

4.

Guo, Zhigao, et al.. (2021). Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters. Entropy. 23(10). 1283–1283. 3 indexed citations

5.

Guo, Zhigao, et al.. (2021). Pain Assessment Using Facial Action Units and Bayesian Network. 4665–4670. 1 indexed citations

6.

Guo, Zhigao, et al.. (2020). Varying Balancing Transfer Learning for BN Parameter Estimation. 2179–2184. 1 indexed citations

7.

Gao, Xiaoguang, et al.. (2019). Learning Bayesian network parameters via minimax algorithm. International Journal of Approximate Reasoning. 108. 62–75. 26 indexed citations

8.

Yang, Yu, Xiaoguang Gao, & Zhigao Guo. (2019). Finding optimal Bayesian networks by a layered learning method. Journal of Systems Engineering and Electronics. 30(5). 946–946. 5 indexed citations

9.

Yu, Yang, Xiaoguang Gao, Zhigao Guo, & Daqing Chen. (2019). Learning Bayesian networks using the constrained maximum a posteriori probability method. Pattern Recognition. 91. 123–134. 24 indexed citations

10.

Gao, Xiaoguang, et al.. (2018). Structure Learning of Bayesian Networks by Finding the Optimal Ordering. 82. 177–182. 1 indexed citations

11.

Gao, Xiaoguang, et al.. (2018). A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets. Mathematical Problems in Engineering. 2018. 1–17. 12 indexed citations

12.

Gao, Xiaoguang, et al.. (2018). Structure learning on Bayesian networks by finding the optimal ordering with and without priors. Journal of Systems Engineering and Electronics. 29(6). 1209–1209. 3 indexed citations

13.

Guo, Zhigao, et al.. (2017). Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method. International Journal of Approximate Reasoning. 91. 22–35. 22 indexed citations

14.

Guo, Zhigao, et al.. (2017). Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data.. 93–104. 1 indexed citations

15.

Gao, Xiaoguang, Yang Yu, Zhigao Guo, & Daqing Chen. (2016). Bayesian approach to learn Bayesian networks using data and constraints. Research Open (London South Bank University). 23. 3667–3672. 3 indexed citations

16.

Guo, Zhigao. (2012). UCAV Targets Assignment Method Based on Uncertain Information. Jisuanji fangzhen. 2 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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