David D. Fan

13 papers and 176 indexed citations i.

About

David D. Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, David D. Fan has authored 13 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Aerospace Engineering. Recurrent topics in David D. Fan’s work include Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (3 papers) and Anomaly Detection Techniques and Applications (3 papers). David D. Fan is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (3 papers) and Anomaly Detection Techniques and Applications (3 papers). David D. Fan collaborates with scholars based in United States, Germany and Canada. David D. Fan's co-authors include Ali‐akbar Agha‐mohammadi, Evangelos A. Theodorou, Kyohei Otsu, Sung-Kyun Kim, Joel W. Burdick, Nikhilesh Alatur, Muhammad Fadhil Ginting, Torkom Pailevanian, Matteo Palieri and Rohan Thakker and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Robotics and Automation Letters and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of David D. Fan i

Fields of papers citing papers by David D. Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David D. Fan

Since Specialization
Citations

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