Gelei Deng

13 papers and 90 indexed citations i.

About

Gelei Deng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gelei Deng has authored 13 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Gelei Deng’s work include Adversarial Robustness in Machine Learning (3 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (2 papers). Gelei Deng is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (2 papers). Gelei Deng collaborates with scholars based in Singapore, China and Australia. Gelei Deng's co-authors include Tianwei Zhang, Yang Liu, Yungang Bao, Han Qiu, Yuekang Li, Yisroel Mirsky, Wenke Lee, Ambra Demontis, Maura Pintor and Battista Biggio and has published in prestigious journals such as Information Sciences, IEEE Transactions on Systems Man and Cybernetics Systems and Computers & Security.

In The Last Decade

Co-authorship network of co-authors of Gelei Deng i

Fields of papers citing papers by Gelei Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gelei Deng

Since Specialization
Citations

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