Hao Peng

879 total citations
75 papers, 587 citations indexed

About

Hao Peng is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hao Peng has authored 75 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistical and Nonlinear Physics, 26 papers in Computer Networks and Communications and 16 papers in Artificial Intelligence. Recurrent topics in Hao Peng's work include Complex Network Analysis Techniques (30 papers), Opinion Dynamics and Social Influence (14 papers) and Network Security and Intrusion Detection (11 papers). Hao Peng is often cited by papers focused on Complex Network Analysis Techniques (30 papers), Opinion Dynamics and Social Influence (14 papers) and Network Security and Intrusion Detection (11 papers). Hao Peng collaborates with scholars based in China, United States and Japan. Hao Peng's co-authors include Dandan Zhao, Wei Wang, Ming Zhong, Jianmin Han, Lu Zhang, Suchuan Zhong, Hong Ma, Xueming Liu, Jianxi Gao and Jianfeng Lu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hao Peng

66 papers receiving 552 citations

Peers

Hao Peng
Comparison fields: 5 of 72
  • Statistical and Nonlinear Physics 357
  • Computer Networks and Communications 217
  • Artificial Intelligence 90
  • Molecular Biology 55
  • Control and Systems Engineering 49
Replace Ge Chen with:
Ge Chen China
Xuan Ying United States
Nong Ye United States
Youguo Wang China
Qun Liu China
Dandan Zhao China
Mehrdad Farajtabar United States
Ge Chen China View profile →
Citations per field, relative to Hao Peng
Hao Peng · 1×
Citations per year, relative to Hao Peng
Hao Peng · 1×

Countries citing papers authored by Hao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Peng. A scholar is included among the top collaborators of Hao Peng 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 Hao Peng. Hao Peng 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 0
2 1
3 0
4 1
5 0
6 5
7 4
8 18
9 9
10 1
11 15
12 15
13 10
14 1
15 3
16 18
17 8
18 4
19 7
20 10

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