Sha Yuan

631 total citations
31 papers, 391 citations indexed

About

Sha Yuan is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Sha Yuan has authored 31 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Sha Yuan's work include Topic Modeling (6 papers), Caching and Content Delivery (4 papers) and Data Quality and Management (3 papers). Sha Yuan is often cited by papers focused on Topic Modeling (6 papers), Caching and Content Delivery (4 papers) and Data Quality and Management (3 papers). Sha Yuan collaborates with scholars based in China, United States and United Kingdom. Sha Yuan's co-authors include Zhou Shao, Yongli Wang, Jie Tang, Xingxing Wei, Hang Su, Wendy Hall, Jun Zhu, Yu Zhang, Zhengxiao Du and Xiao Liu and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Sha Yuan

29 papers receiving 371 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sha Yuan China 9 227 107 69 48 40 31 391
Hassan Najadat Jordan 13 309 1.4× 154 1.4× 80 1.2× 41 0.9× 15 0.4× 54 559
Manoj Jayabalan Malaysia 11 182 0.8× 83 0.8× 31 0.4× 18 0.4× 23 0.6× 39 356
Ihab Zaqout Palestinian Territory 11 269 1.2× 52 0.5× 74 1.1× 29 0.6× 87 2.2× 23 466
Kostas Stathis United Kingdom 13 263 1.2× 69 0.6× 90 1.3× 111 2.3× 19 0.5× 78 471
Jianhui Ma China 11 251 1.1× 104 1.0× 63 0.9× 18 0.4× 102 2.5× 29 381
A. Razia Sulthana India 10 214 0.9× 95 0.9× 45 0.7× 75 1.6× 9 0.2× 26 405
Parminder Kaur India 10 204 0.9× 144 1.3× 89 1.3× 45 0.9× 14 0.3× 44 453
Marco Fisichella Germany 11 179 0.8× 54 0.5× 42 0.6× 25 0.5× 20 0.5× 44 313
Zhipeng Gao China 10 145 0.6× 208 1.9× 19 0.3× 51 1.1× 25 0.6× 35 304
Yidong Chai China 14 180 0.8× 105 1.0× 125 1.8× 46 1.0× 8 0.2× 39 497

Countries citing papers authored by Sha Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Sha Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Yuan. A scholar is included among the top collaborators of Sha Yuan 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 Sha Yuan. Sha Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Z., et al.. (2025). A review on synergizing knowledge graphs and large language models. Computing. 107(6). 1 indexed citations
2.
Shao, Zhou, et al.. (2024). Scholar's Career Switch from Academia to Industry: Mining and Analysis from AMiner. Big Data Research. 36. 100441–100441. 1 indexed citations
3.
Zhou, Kun, et al.. (2024). Theoretical and Experimental Studies of the Dynamic Damage of Endothelial Cellular Networks Under Ultrasound Cavitation. Cellular and Molecular Bioengineering. 18(1). 15–28.
4.
Yuan, Sha, et al.. (2024). Heart Rate Variability Monitoring Based on Doppler Radar Using Deep Learning. Sensors. 24(7). 2026–2026. 7 indexed citations
5.
Deng, Zhenmiao, et al.. (2023). Radiofrequency Doppler echocardiography. Measurement. 220. 113305–113305. 4 indexed citations
6.
Yuan, Sha, et al.. (2022). A Federated Learning Framework for Breast Cancer Histopathological Image Classification. Electronics. 11(22). 3767–3767. 29 indexed citations
7.
Shao, Zhou, Sha Yuan, & Yongli Wang. (2021). Adaptive online learning for IoT botnet detection. Information Sciences. 574. 84–95. 34 indexed citations
8.
Yuan, Sha, et al.. (2021). A Federated Adversarial Learning Method for Biomedical Named Entity Recognition. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2962–2969. 6 indexed citations
9.
Shao, Zhou, Sha Yuan, & Yongli Wang. (2020). Institutional Collaboration and Competition in Artificial Intelligence. IEEE Access. 8. 69734–69741. 21 indexed citations
10.
Shao, Zhou, et al.. (2020). ELAD: An Entity Linking Based Affiliation Disambiguation Framework. IEEE Access. 8. 70519–70526. 8 indexed citations
11.
Yuan, Sha, Zhou Shao, Xingxing Wei, et al.. (2020). Science behind AI: the evolution of trend, mobility, and collaboration. Scientometrics. 124(2). 993–1013. 20 indexed citations
12.
Wei, Xingxing, Jun Zhu, Sha Yuan, & Hang Su. (2019). Sparse Adversarial Perturbations for Videos. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8973–8980. 75 indexed citations
13.
Zhang, Lei, et al.. (2019). Platelet-rich plasma in combination with adipose-derived stem cells promotes skin wound healing through activating Rho GTPase-mediated signaling pathway.. PubMed. 11(7). 4100–4112. 13 indexed citations
14.
Yuan, Sha, Jie Tang, & Xiaotao Gu. (2018). A Survey on Scholar Profiling Techniques in the Open Internet. 55(9). 1903. 1 indexed citations
15.
16.
Yuan, Sha, et al.. (2016). Human pose estimation combined with depth information. 663–667. 4 indexed citations
17.
Shi, Ping, et al.. (2016). The recognition of Chinese caption text in news video using convolutional neural network. 25. 658–662. 3 indexed citations
18.
Pan, Da, et al.. (2016). TV logo classification based on convolutional neural network. 1793–1796. 5 indexed citations
19.
Yuan, Sha, T. Lin, Shuotian Bai, & Song Ci. (2015). User-oriented QoE-driven server selection for multimedia service provisioning in content distribution networks. 19. 2077–2082. 5 indexed citations
20.
Yuan, Sha, T. Lin, Guo‐Qiang Zhang, et al.. (2012). A future anycast routing scheme for Information-Centric Network. 142. 173–178. 2 indexed citations

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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