Xiaoxiao Shi

861 citations
25 papers · 433 indexed · h-index 12
Topics
Complex Network Analysis Techniques (9 papers)Text and Document Classification Technologies (6 papers)Advanced Graph Neural Networks (6 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Xiaoxiao Shi

24 papers receiving 414 citations

Peers

Xiaoxiao Shi
Comparison fields: 5 of 67
  • Artificial Intelligence 318
  • Computer Vision and Pattern Recognition 175
  • Statistical and Nonlinear Physics 61
  • Information Systems 56
  • Signal Processing 33
Replace Kamran Ghasedi Dizaji with:
Kamran Ghasedi Dizaji United States
Guofeng Li China
Yuxuan Wei China
Pengfei Wei China
Amit Agarwal India
Sraban Kumar Mohanty India
Deyu Bo China
Daokun Zhang Australia
Zhipeng Huang China
Simone Romano Australia
Xiaoxiao Shi relative to Kamran Ghasedi Dizaji United States Kamran Ghasedi Dizaji's profile →
Citations per field
00.5×10×20×30×38×
Kamran Ghasedi Dizaji · 1×
Citations per year

Countries citing papers authored by Xiaoxiao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxiao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxiao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxiao Shi. A scholar is included among the top collaborators of Xiaoxiao Shi 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 Xiaoxiao Shi. Xiaoxiao Shi 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
#WorkIndexed citations
1 25
2 11
3 5
4 2
5
Species Composition and Regeneration Characteristics of Main Woody Plant Seedlings in a Pine-oak Mixed Forest in Qinling Mountains
5
6 0
7 5
8 14
9 1
10 4
11 14
12 47
13 4
14 23
15 34
16 5
17 113
18 13
19
A Compression Framework for Generating User Profiles
4
20 28

About Xiaoxiao Shi

Xiaoxiao Shi is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 433 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Text and Document Classification Technologies (6 papers) and Advanced Graph Neural Networks (6 papers). The work is most often cited by research in Artificial Intelligence (318 citations), Computer Vision and Pattern Recognition (175 citations) and Computational Mathematics (3 citations). Xiaoxiao Shi has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Philip S. Yu, Wei Fan, Qi Liu, Ruixin Zhu, Weixiang Shao, Xiangnan Kong, Shangfei Wang, Wei Fan, Yao Li and Yuchen Zhao. Their work appears in journals such as PLoS ONE, Pattern Recognition and IEEE Transactions on Knowledge and Data Engineering.

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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