Siqian Yang

35 total papers · 535 total citations
18 papers, 330 citations indexed

About

Siqian Yang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siqian Yang has authored 18 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Siqian Yang's work include Domain Adaptation and Few-Shot Learning (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Multimodal Machine Learning Applications (4 papers). Siqian Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Multimodal Machine Learning Applications (4 papers). Siqian Yang collaborates with scholars based in China, Hong Kong and Canada. Siqian Yang's co-authors include Chengjie Wang, Changjun Jiang, Yanwei Fu, Chengming Xu, Chen Liu, Li Zhang, Jilin Li, Tiejun Ma, Wenya Li and Y. Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Biosensors and Bioelectronics.

In The Last Decade

Siqian Yang

18 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Siqian Yang 139 90 83 73 54 18 330
Adnan Omer Abuassba 85 0.6× 92 1.0× 32 0.4× 71 1.0× 51 0.9× 13 346
Michael Quinlan 101 0.7× 68 0.8× 34 0.4× 27 0.4× 10 0.2× 25 273
Xiaolong Zhu 63 0.5× 59 0.7× 35 0.4× 14 0.2× 22 0.4× 28 338
Tianyi Shi 56 0.4× 27 0.3× 42 0.5× 24 0.3× 11 0.2× 22 301
Wei Wu 218 1.6× 36 0.4× 35 0.4× 52 0.7× 8 0.1× 29 359
Bozhen Hu 157 1.1× 58 0.6× 18 0.2× 12 0.2× 16 0.3× 13 270
Jie Chen 56 0.4× 49 0.5× 27 0.3× 125 1.7× 42 0.8× 27 344
Osama Farouk Hassan 108 0.8× 79 0.9× 38 0.5× 14 0.2× 10 0.2× 12 299
Liangmin Wang 73 0.5× 137 1.5× 14 0.2× 64 0.9× 12 0.2× 30 322
Dezhi Han 133 1.0× 161 1.8× 18 0.2× 9 0.1× 25 0.5× 13 355

Countries citing papers authored by Siqian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Siqian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siqian Yang

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