Yajie Wang

About

Yajie Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Yajie Wang has authored 65 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Sociology and Political Science. Recurrent topics in Yajie Wang’s work include Adversarial Robustness in Machine Learning (20 papers), Artificial Intelligence in Games (13 papers) and Anomaly Detection Techniques and Applications (11 papers). Yajie Wang is often cited by papers focused on Adversarial Robustness in Machine Learning (20 papers), Artificial Intelligence in Games (13 papers) and Anomaly Detection Techniques and Applications (11 papers). Yajie Wang collaborates with scholars based in China, Macao and United States. Yajie Wang's co-authors include Abdol S. Soofi, Xiaofeng Hui, Yu‐an Tan, Xiaohui Kuang, Quanxin Zhang, Jingjing Hu, Yuanzhang Li, Gang Zhao, Chao Xue and Dianxi Shi and has published in prestigious journals such as Journal of Hazardous Materials, Information Sciences and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Yajie Wang i

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Fields of papers citing papers by Yajie Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yajie Wang

Since Specialization

Citations

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