Pengchen Liang

26 papers and 178 indexed citations
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About

Pengchen Liang is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Pengchen Liang has authored 26 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Pengchen Liang’s work include COVID-19 diagnosis using AI (4 papers), Advanced Neural Network Applications (4 papers) and AI in cancer detection (4 papers). Pengchen Liang is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Advanced Neural Network Applications (4 papers) and AI in cancer detection (4 papers). Pengchen Liang collaborates with scholars based in China, Hong Kong and Singapore. Pengchen Liang's co-authors include Qing Chang, Xuan Huang, Yinghao Liu, Yuandong Gu, Haiqin Zhu, Dongyu Liang, Jianguo Chen, Lei Yao, Zezhou Hao and Lei Yao and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and BMC Public Health.

In The Last Decade

Co-authorship network of co-authors of Pengchen Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengchen Liang. A scholar is included among the top collaborators of Pengchen Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengchen Liang. Pengchen Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Pengchen Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengchen Liang

Since Specialization
Citations

This map shows the geographic impact of Pengchen Liang'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 Pengchen Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengchen Liang 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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2026