Jingda Guo

About

Jingda Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jingda Guo has authored 11 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Jingda Guo’s work include Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Video Surveillance and Tracking Methods (3 papers). Jingda Guo is often cited by papers focused on Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Video Surveillance and Tracking Methods (3 papers). Jingda Guo collaborates with scholars based in United States and China. Jingda Guo's co-authors include Qing Yang, Jinbo Xiong, Song Fu, Sihai Tang, Xu Ma, Qi Chen, Qing Yang, Qi Chen, Paparao Palacharla and Nannan Wang and has published in prestigious journals such as IEEE Internet of Things Journal, Ceramics International and IEEE Wireless Communications.

In The Last Decade

Co-authorship network of co-authors of Jingda Guo i

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Fields of papers citing papers by Jingda Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jingda Guo

Since Specialization

Citations

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