Pengjie Tang

19 papers and 322 indexed citations i.

About

Pengjie Tang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Pengjie Tang has authored 19 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Pengjie Tang’s work include Advanced Image and Video Retrieval Techniques (7 papers), Multimodal Machine Learning Applications (6 papers) and Video Analysis and Summarization (4 papers). Pengjie Tang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Multimodal Machine Learning Applications (6 papers) and Video Analysis and Summarization (4 papers). Pengjie Tang collaborates with scholars based in China, Hong Kong and Canada. Pengjie Tang's co-authors include Hanli Wang, Sam Kwong, Qinyu Li, Guangyao Li, Yimin Zhou, Renping Cao, Hui Ao, Fang Fang, Chunyan Cao and Yihao Chen and has published in prestigious journals such as Journal of Solid State Chemistry, Neurocomputing and Electronics Letters.

In The Last Decade

Co-authorship network of co-authors of Pengjie Tang i

Fields of papers citing papers by Pengjie Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengjie Tang

Since Specialization
Citations

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