Chengwei Yao

26 total papers · 746 total citations
19 papers, 423 citations indexed

About

Chengwei Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chengwei Yao has authored 19 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Chengwei Yao's work include Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Complex Network Analysis Techniques (4 papers). Chengwei Yao is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Complex Network Analysis Techniques (4 papers). Chengwei Yao collaborates with scholars based in China, Canada and United States. Chengwei Yao's co-authors include Jiajun Bu, Deng Cai, Wenqing Chu, Hongyang Xue, Gencai Chen, Zhao Li, Can Wang, Zhi Yu, Martin Ester and Zhen Zhang and has published in prestigious journals such as Atmospheric Environment, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Chengwei Yao

19 papers receiving 413 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chengwei Yao 306 151 93 59 34 19 423
Longfei Li 320 1.0× 70 0.5× 98 1.1× 72 1.2× 38 1.1× 28 424
Kusum Kumari Bharti 350 1.1× 83 0.5× 97 1.0× 43 0.7× 17 0.5× 22 464
Chao Huang 263 0.9× 159 1.1× 192 2.1× 33 0.6× 35 1.0× 31 482
Dharmveer Singh Rajpoot 340 1.1× 73 0.5× 143 1.5× 47 0.8× 17 0.5× 23 455
Chengzhang Zhu 260 0.8× 161 1.1× 88 0.9× 44 0.7× 10 0.3× 28 384
Yin Zhu 234 0.8× 154 1.0× 56 0.6× 36 0.6× 38 1.1× 13 475
Yiqi Wang 256 0.8× 61 0.4× 132 1.4× 31 0.5× 35 1.0× 18 436
Fengqin Yang 303 1.0× 103 0.7× 48 0.5× 33 0.6× 21 0.6× 25 428
Kun Bai 195 0.6× 145 1.0× 42 0.5× 48 0.8× 17 0.5× 26 443
Arnaud Quirin 227 0.7× 90 0.6× 78 0.8× 21 0.4× 31 0.9× 29 407

Countries citing papers authored by Chengwei Yao

Since Specialization
Citations

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

Fields of papers citing papers by Chengwei Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwei Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Chengwei Yao. A scholar is included among the top collaborators of Chengwei Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chengwei Yao. Chengwei Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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