Hao Peng

104 papers and 718 indexed citations i.

About

Hao Peng is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Hao Peng has authored 104 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 14 papers in Information Systems and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Hao Peng’s work include Advanced Graph Neural Networks (19 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (7 papers). Hao Peng is often cited by papers focused on Advanced Graph Neural Networks (19 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (7 papers). Hao Peng collaborates with scholars based in China, United States and Australia. Hao Peng's co-authors include Philip S. Yu, Zhiwei Liu, Ziwei Fan, Jianxin Li, Liangwei Yang, Jia Wu, Jun Huang, Haohuan Li, Xuezhong Wang and Yangqiu Song and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Bioresource Technology and Scientific Reports.

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