Weihui Dai

71 papers and 373 indexed citations i.

About

Weihui Dai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weihui Dai has authored 71 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weihui Dai’s work include Emotion and Mood Recognition (6 papers), Complex Network Analysis Techniques (6 papers) and QoS-Aware Web Services Composition and Semantic Matching (4 papers). Weihui Dai is often cited by papers focused on Emotion and Mood Recognition (6 papers), Complex Network Analysis Techniques (6 papers) and QoS-Aware Web Services Composition and Semantic Matching (4 papers). Weihui Dai collaborates with scholars based in China, United States and Serbia. Weihui Dai's co-authors include Yonghui Dai, Dongmei Han, Dongrong Xu, Weidong Zhao, Yufei Yuan, Youwei Wang, Min Yao, Zhaohui Wu, Bin Deng and Yue Yu and has published in prestigious journals such as Marine Pollution Bulletin, IEEE Access and Information & Management.

In The Last Decade

Co-authorship network of co-authors of Weihui Dai i

Fields of papers citing papers by Weihui Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weihui Dai

Since Specialization
Citations

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