Hongkai Dai

19 papers and 1.1k indexed citations i.

About

Hongkai Dai is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hongkai Dai has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 11 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hongkai Dai’s work include Robotic Locomotion and Control (10 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Robotic Path Planning Algorithms (6 papers). Hongkai Dai is often cited by papers focused on Robotic Locomotion and Control (10 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Robotic Path Planning Algorithms (6 papers). Hongkai Dai collaborates with scholars based in United States, Italy and Switzerland. Hongkai Dai's co-authors include Russ Tedrake, Andrés Valenzuela, Pat Marion, Robin Deits, Maurice Fallon, Twan Koolen, Scott Kuindersma, Frank Permenter, Benoit Landry and Marco Pavone and has published in prestigious journals such as Physics Letters B, The International Journal of Robotics Research and Autonomous Robots.

In The Last Decade

Co-authorship network of co-authors of Hongkai Dai i

Fields of papers citing papers by Hongkai Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hongkai Dai

Since Specialization
Citations

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