Shudong Yang

12 total papers · 452 total citations
4 papers, 278 citations indexed

About

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 278 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), Web Data Mining and Analysis (1 paper) and Recommender Systems and Techniques (1 paper). Shudong Yang is often cited by papers focused on Advanced Neural Network Applications (2 papers), Web Data Mining and Analysis (1 paper) and Recommender Systems and Techniques (1 paper). Shudong Yang collaborates with scholars based in China. Shudong Yang's co-authors include Xueying Yu, Ying Zhou, Xueying Yu, Yimin Zhou and Lin Sun and has published in prestigious journals such as Journal of Physics Conference Series.

In The Last Decade

Shudong Yang

4 papers receiving 269 citations

Hit Papers

LSTM and GRU Neural Netwo... 2020 2026 2022 2024 2020 50 100 150 200 250
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. LSTM and GRU Neural Network Performance Comparison Study: Taking Yelp Review Dataset as an Example
    2020 261 citations Shudong Yang, Xueying Yu et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Shudong Yang 101 55 33 33 29 4 278
Xueying Yu 95 0.9× 53 1.0× 32 1.0× 30 0.9× 29 1.0× 7 292
Lingxue Zhu 92 0.9× 60 1.1× 29 0.9× 25 0.8× 42 1.4× 5 313
Pius Kwao Gadosey 73 0.7× 77 1.4× 16 0.5× 55 1.7× 30 1.0× 10 316
Dinithi Nallaperuma 99 1.0× 39 0.7× 48 1.5× 35 1.1× 26 0.9× 7 303
Haomiao Zhou 72 0.7× 50 0.9× 15 0.5× 19 0.6× 12 0.4× 5 320
Hui Li 110 1.1× 51 0.9× 16 0.5× 30 0.9× 12 0.4× 7 315
Pradnya Vikhar 104 1.0× 39 0.7× 28 0.8× 46 1.4× 10 0.3× 3 286
Timur Janovsky 70 0.7× 58 1.1× 13 0.4× 17 0.5× 22 0.8× 3 319
Hadjar Ould Slimane 82 0.8× 48 0.9× 48 1.5× 24 0.7× 26 0.9× 7 239
Jindong Han 144 1.4× 28 0.5× 23 0.7× 34 1.0× 42 1.4× 5 269

Countries citing papers authored by Shudong Yang

Since Specialization
Citations

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).

Fields of papers citing papers by Shudong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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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2026