Haijun Wu

About

Haijun Wu is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Haijun Wu has authored 14 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Otorhinolaryngology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Haijun Wu’s work include Head and Neck Cancer Studies (8 papers), Lung Cancer Research Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Haijun Wu is often cited by papers focused on Head and Neck Cancer Studies (8 papers), Lung Cancer Research Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Haijun Wu collaborates with scholars based in China and United States. Haijun Wu's co-authors include Jingjing Miao, Chong Zhao, Lin Wang, Xiuhui Li, Lei Shi, Wuguo Deng, Desheng Hu, Dingbo Shi, Xiaoyi Zhou and Xiaoyu Huang and has published in prestigious journals such as Nature Communications, Scientific Reports and Radiology.

In The Last Decade

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

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Fields of papers citing papers by Haijun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haijun Wu

Since Specialization

Citations

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

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