Haoyang Wu

53 papers and 696 indexed citations i.

About

Haoyang Wu is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Haoyang Wu has authored 53 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 10 papers in Computational Theory and Mathematics and 9 papers in Management Science and Operations Research. Recurrent topics in Haoyang Wu’s work include Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (8 papers) and Wireless Networks and Protocols (6 papers). Haoyang Wu is often cited by papers focused on Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (8 papers) and Wireless Networks and Protocols (6 papers). Haoyang Wu collaborates with scholars based in China, United States and Israel. Haoyang Wu's co-authors include William H. Green, Florence H. Vermeire, Yunsie Chung, Esther Heid, Yuyuan Wu, Shih‐Cheng Li, Charles J. McGill, Kevin P. Greenman, Michael H. Abraham and Klavs F. Jensen and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Co-authorship network of co-authors of Haoyang Wu i

Fields of papers citing papers by Haoyang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haoyang Wu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025