Haobin Shi

About

Haobin Shi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Haobin Shi has authored 69 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 13 papers in Control and Systems Engineering. Recurrent topics in Haobin Shi’s work include Reinforcement Learning in Robotics (24 papers), Robotics and Sensor-Based Localization (9 papers) and Advanced Vision and Imaging (9 papers). Haobin Shi is often cited by papers focused on Reinforcement Learning in Robotics (24 papers), Robotics and Sensor-Based Localization (9 papers) and Advanced Vision and Imaging (9 papers). Haobin Shi collaborates with scholars based in China, Taiwan and United States. Haobin Shi's co-authors include Kao‐Shing Hwang, Jingchen Li, Wei Pan, Xuesi Li, Genjiu Xu, Gang Sun, Jialin Chen, Zhiqiang Lin, Yian Zhu and Wenbai Chen and has published in prestigious journals such as Langmuir, Scientific Reports and Optics Express.

In The Last Decade

Co-authorship network of co-authors of Haobin Shi i

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Fields of papers citing papers by Haobin Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haobin Shi

Since Specialization

Citations

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