Zhang Shi-jun

20 papers and 305 indexed citations i.

About

Zhang Shi-jun is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhang Shi-jun has authored 20 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhang Shi-jun’s work include Neural Networks and Applications (7 papers), Machine Learning and ELM (4 papers) and Quantum Information and Cryptography (3 papers). Zhang Shi-jun is often cited by papers focused on Neural Networks and Applications (7 papers), Machine Learning and ELM (4 papers) and Quantum Information and Cryptography (3 papers). Zhang Shi-jun collaborates with scholars based in China, United States and Singapore. Zhang Shi-jun's co-authors include Haizhao Yang, Zuowei Shen, Jianfeng Lu, Hong Wang, Deyu Meng, Qi Xie, Qian Zhao, Yong Liang, Ying Dai and Guihua Yu and has published in prestigious journals such as Neural Computation, Ecotoxicology and Environmental Safety and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Zhang Shi-jun i

Fields of papers citing papers by Zhang Shi-jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhang Shi-jun. 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 Zhang Shi-jun. The network helps show where Zhang Shi-jun may publish in the future.

Countries citing papers authored by Zhang Shi-jun

Since Specialization
Citations

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