Jiao Guan

1.1k total citations
41 papers, 697 citations indexed

About

Jiao Guan is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Jiao Guan has authored 41 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Information Systems and 9 papers in Computational Theory and Mathematics. Recurrent topics in Jiao Guan's work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (8 papers) and Bayesian Modeling and Causal Inference (6 papers). Jiao Guan is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (8 papers) and Bayesian Modeling and Causal Inference (6 papers). Jiao Guan collaborates with scholars based in China, United Kingdom and United States. Jiao Guan's co-authors include David Bell, Zhengyun Zhang, Zun-Qiang Zhou, Danian Tong, Guangwen Zhou, Yaxin Bi, Hao Li, Jing Yao, Bin Hu and Junyou Yang and has published in prestigious journals such as Hepatology, Acta Biomaterialia and International Journal of Pharmaceutics.

In The Last Decade

Jiao Guan

38 papers receiving 674 citations

Peers

Jiao Guan
Comparison fields: 5 of 114
  • Computational Theory and Mathematics 181
  • Artificial Intelligence 171
  • Information Systems 157
  • Molecular Biology 141
  • Surgery 107
Replace Hideaki Komatsu with:
Hideaki Komatsu Japan
Guodong Li China
Shirong Li China
David Lu United States
Xiaorui Jiang China
Zhenyu Hou China
Chenchen Huang China
Yunpeng Zhang United States
Aiping Huang China
Antonella Di Stefano Italy
Hideaki Komatsu Japan View profile →
Citations per field, relative to Jiao Guan
Jiao Guan · 1×
Citations per year, relative to Jiao Guan
Jiao Guan · 1×

Countries citing papers authored by Jiao Guan

Since Specialization
Citations

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

Fields of papers citing papers by Jiao Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiao Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiao Guan. A scholar is included among the top collaborators of Jiao Guan 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 Jiao Guan. Jiao Guan 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
# Work Indexed citations
1 2
2 1
3 0
4 6
5 0
6 6
7 14
8 65
9 7
10 75
11 7
12 8
13 11
14 13
15 20
16 3
17
Discovering motifs in DNA sequences
4
18 95
19 4
20
A generalization of the dempster-shafer theory
11

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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