Daniel Zeng

300 papers and 5.2k indexed citations i.

About

Daniel Zeng is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniel Zeng has authored 300 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Artificial Intelligence, 76 papers in Information Systems and 58 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniel Zeng’s work include Complex Network Analysis Techniques (55 papers), Topic Modeling (36 papers) and Sentiment Analysis and Opinion Mining (28 papers). Daniel Zeng is often cited by papers focused on Complex Network Analysis Techniques (55 papers), Topic Modeling (36 papers) and Sentiment Analysis and Opinion Mining (28 papers). Daniel Zeng collaborates with scholars based in China, United States and Hong Kong. Daniel Zeng's co-authors include Hsinchun Chen, Zan Huang, Fei‐Yue Wang, Xiaolong Zheng, Wenji Mao, Hsinchun Chen, Qiudan Li, Scott J. Leischow, Kathleen M. Carley and Robert F. Lusch and has published in prestigious journals such as PLoS ONE, Management Science and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Daniel Zeng i

Fields of papers citing papers by Daniel Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Zeng

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025