Hongqing Fang

About

Hongqing Fang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Hongqing Fang has authored 13 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Hongqing Fang’s work include Context-Aware Activity Recognition Systems (5 papers), IoT-based Smart Home Systems (3 papers) and Advanced Algorithms and Applications (3 papers). Hongqing Fang is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), IoT-based Smart Home Systems (3 papers) and Advanced Algorithms and Applications (3 papers). Hongqing Fang collaborates with scholars based in China and United States. Hongqing Fang's co-authors include Long Chen, Long Chen, Lei He, Xiaolei Xie, Peng Liu, Pei Tang, Zhijian Liu and Shangfeng Chen and has published in prestigious journals such as Energy Conversion and Management, IEEE Transactions on Energy Conversion and ISA Transactions.

In The Last Decade

Co-authorship network of co-authors of Hongqing Fang i

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Fields of papers citing papers by Hongqing Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hongqing Fang

Since Specialization

Citations

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