Shudong Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems.
According to data from OpenAlex, Shudong Yang has authored 4 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Shudong Yang's work include Advanced Neural Network Applications (2 papers), Recommender Systems and Techniques (1 paper) and Advanced Text Analysis Techniques (1 paper). Shudong Yang is often cited by papers focused on Advanced Neural Network Applications (2 papers), Recommender Systems and Techniques (1 paper) and Advanced Text Analysis Techniques (1 paper). Shudong Yang collaborates with scholars based in China. Shudong Yang's co-authors include Xueying Yu, Ying Zhou, Yimin Zhou, Lin Sun and Xueying Yu and has published in prestigious journals such as Journal of Physics Conference Series.
In The Last Decade
Shudong Yang
4 papers
receiving
276 citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
LSTM and GRU Neural Network Performance Comparison Study: Taking Yelp Review Dataset as an Example
2020269 citationsShudong Yang, Xueying Yu et al.profile →
This map shows the geographic impact of Shudong Yang'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 Shudong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shudong Yang more than expected).
This network shows the impact of papers produced by Shudong Yang. 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 Shudong Yang. The network helps show where Shudong Yang may publish in the future.
Co-authorship network of co-authors of Shudong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Shudong Yang.
A scholar is included among the top collaborators of Shudong Yang 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 Shudong Yang. Shudong Yang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.