Su Pang

About

Su Pang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Su Pang has authored 14 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aerospace Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Environmental Engineering. Recurrent topics in Su Pang’s work include Robotics and Sensor-Based Localization (6 papers), Advanced Neural Network Applications (3 papers) and Geophysical Methods and Applications (3 papers). Su Pang is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Advanced Neural Network Applications (3 papers) and Geophysical Methods and Applications (3 papers). Su Pang collaborates with scholars based in United States, China and Australia. Su Pang's co-authors include Hayder Radha, Daniel Morris, Gangling Tang, Xi Cai, Yongsheng Ou, Vaibhav Srivastava and Xuben Wang and has published in prestigious journals such as Scientific Reports, Remote Sensing and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Co-authorship network of co-authors of Su Pang i

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Fields of papers citing papers by Su Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su Pang

Since Specialization

Citations

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