Zheng Tang

140 papers and 1.5k indexed citations i.

About

Zheng Tang is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Zheng Tang has authored 140 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 27 papers in Cognitive Neuroscience and 22 papers in Molecular Biology. Recurrent topics in Zheng Tang’s work include Neural Networks and Applications (45 papers), Metaheuristic Optimization Algorithms Research (28 papers) and Artificial Immune Systems Applications (18 papers). Zheng Tang is often cited by papers focused on Neural Networks and Applications (45 papers), Metaheuristic Optimization Algorithms Research (28 papers) and Artificial Immune Systems Applications (18 papers). Zheng Tang collaborates with scholars based in Japan, China and Romania. Zheng Tang's co-authors include Shangce Gao, Yuki Todo, Junkai Ji, Hiroki Tamura, Jiujun Cheng, Yirui Wang, Jiahai Wang, Cheng Tang, Shuangbao Song and Masahiro Ishii and has published in prestigious journals such as Scientific Reports, European Journal of Operational Research and Frontiers in Microbiology.

In The Last Decade

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

Fields of papers citing papers by Zheng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zheng Tang

Since Specialization
Citations

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