Fang Fang

56 papers and 363 indexed citations i.

About

Fang Fang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Fang Fang has authored 56 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 14 papers in Control and Systems Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Fang Fang’s work include Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (9 papers) and Video Surveillance and Tracking Methods (8 papers). Fang Fang is often cited by papers focused on Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (9 papers) and Video Surveillance and Tracking Methods (8 papers). Fang Fang collaborates with scholars based in China, United States and Bangladesh. Fang Fang's co-authors include Bo Zhou, Xudong Ma, Kun Qian, Xianzhong Dai, Zhiyong Liu, Xuejun Kang, Yahui Gan, Andrew B. Whinston, Manoj Parameswaran and Eduard Dragut and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Decision Support Systems.

In The Last Decade

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

Fields of papers citing papers by Fang Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Fang

Since Specialization
Citations

This map shows the geographic impact of Fang 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 Fang Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang 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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2025