Frontiers of Computer Science

1.2k papers and 11.0k indexed citations i.

About

The 1.2k papers published in Frontiers of Computer Science in the last decades have received a total of 11.0k indexed citations. Papers published in Frontiers of Computer Science usually cover Artificial Intelligence (558 papers), Computer Vision and Pattern Recognition (317 papers) and Computer Networks and Communications (317 papers) specifically the topics of Topic Modeling (84 papers), Cloud Computing and Resource Management (81 papers) and Cryptography and Data Security (79 papers). The most active scholars publishing in Frontiers of Computer Science are Zhiwen Yu, Qianli Ma, Dong Xibin, Yifan Shi, Wenming Cao, Zhi‐Hua Zhou, Xin Geng, Min-Ling Zhang, Xiang Bai and Cong Yao.

In The Last Decade

Fields of papers published in Frontiers of Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Frontiers of Computer Science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Frontiers of Computer Science.

Countries where authors publish in Frontiers of Computer Science

Since Specialization
Citations

This map shows the geographic impact of research published in Frontiers of Computer Science. 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 papers published in Frontiers of Computer Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frontiers of Computer Science 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