Peixiang Zhao

2.5k citations
33 papers · 1.6k indexed · h-index 17
Topics
Graph Theory and Algorithms (11 papers)Complex Network Analysis Techniques (10 papers)Advanced Graph Neural Networks (10 papers)

In The Last Decade

Peixiang Zhao

32 papers receiving 1.5k citations

Peers

Peixiang Zhao
Comparison fields: 5 of 77
  • Artificial Intelligence 970
  • Statistical and Nonlinear Physics 555
  • Computer Vision and Pattern Recognition 551
  • Information Systems 425
  • Computer Networks and Communications 411
Replace Silvio Lattanzi with:
Silvio Lattanzi United States
Yixiang Fang China
Glen Jeh United States
Atish Das Sarma United States
Francesco Gullo Italy
Flavio Chierichetti United States
Reid Andersen United States
Andrej Krevl Slovenia
Prithviraj Sen United States
Aneesh Sharma United States
Peixiang Zhao relative to Silvio Lattanzi United States Silvio Lattanzi's profile →
Citations per field
00.5×1.7×
Silvio Lattanzi · 1×
Citations per year

Countries citing papers authored by Peixiang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Peixiang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixiang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Peixiang Zhao. A scholar is included among the top collaborators of Peixiang Zhao 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 Peixiang Zhao. Peixiang Zhao 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 2
2 0
3 22
4 26
5 46
6 125
7 16
8 5
9 27
10 8
11 7
12 166
13 88
14 14
15 18
16 54
17 142
18 15
19
Graph indexing: tree + delta <= graph
138
20 10

About Peixiang Zhao

Peixiang Zhao is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (11 papers), Complex Network Analysis Techniques (10 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (555 citations), Signal Processing (388 citations) and Artificial Intelligence (970 citations). Peixiang Zhao has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Jiawei Han, Yizhou Sun, Esra Akbaş, Manish Gupta, Jeffrey Xu Yu, Charų C. Aggarwal, Philip S. Yu, Tianyi Wu, Hong Cheng and Zhijun Yin. Their work appears in journals such as Nucleic Acids Research, Neurocomputing 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026