NetEase (China)

About

In recent decades, authors affiliated with NetEase (China) have published 263 papers, which have received a total of 2.8k indexed citations. Scholars at this organization have produced 107 papers in Artificial Intelligence, 97 papers in Computer Vision and Pattern Recognition and 37 papers in Information Systems on the topics of Topic Modeling (21 papers), Recommender Systems and Techniques (21 papers) and Generative Adversarial Networks and Image Synthesis (20 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (992 citations), Artificial Intelligence (936 citations) and Computer Networks and Communications (342 citations). Authors at NetEase (China) collaborate with scholars in China, United States and Australia and have published in prestigious journals including Journal of the American Statistical Association, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence. Some of NetEase (China)'s most productive authors include Yong Liu, Yi Yuan, Changjie Fan, Zhengxia Zou, Runze Wu, Yu Ding, Mengmeng Wang, Yujing Hu, Jianye Hao and Qingguo Ma.

In The Last Decade

NetEase (China)

231 papers receiving 2.7k citations

Fields of papers published by authors at NetEase (China)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with NetEase (China) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with NetEase (China) at the time of their publication.

Countries citing scholars working at NetEase (China)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at NetEase (China). 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 papers produced at NetEase (China) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NetEase (China) 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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