Lang Wang

36 papers and 506 indexed citations i.

About

Lang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Lang Wang has authored 36 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Economics and Econometrics. Recurrent topics in Lang Wang’s work include AI in cancer detection (7 papers), Energy, Environment, Economic Growth (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Lang Wang is often cited by papers focused on AI in cancer detection (7 papers), Energy, Environment, Economic Growth (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Lang Wang collaborates with scholars based in China, United States and Germany. Lang Wang's co-authors include Zhidan Liu, Xiao Wu, Yuan Lu, Bing Han, Linjun Wang, Xin-Hui Xing, Chong Zhang, Xuefen Chi, Shen Zhong and Jing Deng and has published in prestigious journals such as Bioresource Technology, Scientific Reports and International Journal of Heat and Mass Transfer.

In The Last Decade

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

Fields of papers citing papers by Lang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lang Wang

Since Specialization
Citations

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