Hao Peng

157 papers and 3.6k indexed citations i.

About

Hao Peng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hao Peng has authored 157 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 31 papers in Information Systems and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hao Peng’s work include Advanced Graph Neural Networks (43 papers), Topic Modeling (43 papers) and Complex Network Analysis Techniques (17 papers). Hao Peng is often cited by papers focused on Advanced Graph Neural Networks (43 papers), Topic Modeling (43 papers) and Complex Network Analysis Techniques (17 papers). Hao Peng collaborates with scholars based in China, United States and Australia. Hao Peng's co-authors include Philip S. Yu, Lifang He, Jianxin Li, Senzhang Wang, Lihong Wang, Bowen Du, Renyu Yang, Zhi Jin, Lili Mou and Yunchuan Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Optics Letters.

In The Last Decade

Co-authorship network of co-authors of Hao Peng i

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.

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).

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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2025