Weina Wang

48 total papers · 1.1k total citations
25 papers, 754 citations indexed

About

Weina Wang is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Weina Wang has authored 25 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Management Science and Operations Research and 8 papers in Artificial Intelligence. Recurrent topics in Weina Wang's work include Stock Market Forecasting Methods (9 papers), Energy Load and Power Forecasting (5 papers) and Advanced Neural Network Applications (5 papers). Weina Wang is often cited by papers focused on Stock Market Forecasting Methods (9 papers), Energy Load and Power Forecasting (5 papers) and Advanced Neural Network Applications (5 papers). Weina Wang collaborates with scholars based in China, Canada and Macao. Weina Wang's co-authors include Yunjie Zhang, Xiaodong Liu, Wanquan Liu, Hui Chen, Witold Pedrycz, Peter Liu, Man Liang, Zheng Liu, K. K. Mishra and Ligang Liu and has published in prestigious journals such as Scientific Reports, IEEE Access and Pattern Recognition.

In The Last Decade

Weina Wang

22 papers receiving 716 citations

Author Peers

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

Author Last Decade Papers Cites
Weina Wang 331 188 152 150 83 25 754
Pei-Yi Hao 403 1.2× 260 1.4× 54 0.4× 130 0.9× 49 0.6× 30 785
Honghui Xu 339 1.0× 165 0.9× 89 0.6× 110 0.7× 42 0.5× 22 791
Geok See Ng 398 1.2× 148 0.8× 76 0.5× 165 1.1× 26 0.3× 56 792
Fernando Rojas 352 1.1× 113 0.6× 90 0.6× 144 1.0× 22 0.3× 68 854
S. Hashem 404 1.2× 144 0.8× 74 0.5× 92 0.6× 17 0.2× 27 784
Michael J. Sabin 271 0.8× 316 1.7× 173 1.1× 35 0.2× 51 0.6× 17 725
Jeff Heaton 286 0.9× 122 0.6× 92 0.6× 41 0.3× 37 0.4× 16 833
Boris N. Oreshkin 372 1.1× 180 1.0× 128 0.8× 111 0.7× 22 0.3× 30 874
Iffat A. Gheyas 364 1.1× 161 0.9× 74 0.5× 64 0.4× 20 0.2× 12 748
Marie Cottrell 438 1.3× 171 0.9× 108 0.7× 51 0.3× 20 0.2× 45 765

Countries citing papers authored by Weina Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weina Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weina Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weina Wang. A scholar is included among the top collaborators of Weina Wang 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 Weina Wang. Weina Wang 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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