Fangfang Kong

About

Fangfang Kong is a scholar working on Otorhinolaryngology, Oncology and Surgery. According to data from OpenAlex, Fangfang Kong has authored 34 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Otorhinolaryngology, 15 papers in Oncology and 11 papers in Surgery. Recurrent topics in Fangfang Kong’s work include Head and Neck Cancer Studies (24 papers), Head and Neck Surgical Oncology (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Fangfang Kong is often cited by papers focused on Head and Neck Cancer Studies (24 papers), Head and Neck Surgical Oncology (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Fangfang Kong collaborates with scholars based in China. Fangfang Kong's co-authors include Chaosu Hu, Chengrun Du, Ruiping Zhai, Hongmei Ying, Junjun Zhou, Xiayun He, Lin Kong, Hongmei Ying, Shuang Huang and Chunying Shen and has published in prestigious journals such as Scientific Reports, Analytica Chimica Acta and Oncotarget.

In The Last Decade

Co-authorship network of co-authors of Fangfang Kong i

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Fields of papers citing papers by Fangfang Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fangfang Kong

Since Specialization

Citations

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