Song Yang

940 total citations · 1 hit paper
42 papers, 489 citations indexed

About

Song Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Song Yang has authored 42 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Song Yang's work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (4 papers) and Artificial Intelligence in Healthcare (3 papers). Song Yang is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (4 papers) and Artificial Intelligence in Healthcare (3 papers). Song Yang collaborates with scholars based in China, New Zealand and United Kingdom. Song Yang's co-authors include Jiamou Liu, Kaiqi Zhao, Xin Huang, David Squirrell, He Zhang, Muhammad Ali Babar, Ehsan Vaghefi, Hao Tang, Li Xie and Junming Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Song Yang

37 papers receiving 475 citations

Hit Papers

GETNext 2022 2026 2023 2024 2022 25 50 75 100
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.

  1. GETNext
    2022 116 citations Song Yang, Jiamou Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Yang China 12 148 104 87 61 57 42 489
Ling Wu China 9 54 0.4× 161 1.5× 106 1.2× 27 0.4× 45 0.8× 27 535
Mhd Saeed Sharif United Kingdom 11 73 0.5× 149 1.4× 124 1.4× 7 0.1× 49 0.9× 91 503
Mohaimenul Azam Khan Raiaan Bangladesh 10 44 0.3× 231 2.2× 98 1.1× 8 0.1× 24 0.4× 26 589
Elijah Blessing Rajsingh India 12 237 1.6× 129 1.2× 133 1.5× 9 0.1× 105 1.8× 62 671
Kaniz Fatema Bangladesh 9 36 0.2× 181 1.7× 78 0.9× 7 0.1× 24 0.4× 31 487
Zahia Guessoum France 12 66 0.4× 184 1.8× 52 0.6× 7 0.1× 27 0.5× 41 429
Rui Tang China 15 87 0.6× 328 3.2× 52 0.6× 5 0.1× 33 0.6× 44 675

Countries citing papers authored by Song Yang

Since Specialization
Citations

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

Fields of papers citing papers by Song Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Song Yang. A scholar is included among the top collaborators of Song 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 Song Yang. Song Yang 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.
Squirrell, David, et al.. (2024). Blood Pressure Predicted From Artificial Intelligence Analysis of Retinal Images Correlates With Future Cardiovascular Events. SHILAP Revista de lepidopterología. 3(12). 101410–101410. 4 indexed citations
2.
Yang, Song, et al.. (2023). Machine Learning for Short-Term Prediction of Ship Motion Combined with Wave Input. Applied Sciences. 13(9). 5298–5298. 11 indexed citations
3.
Zhang, Zeyu, et al.. (2023). Contrastive Learning for Signed Bipartite Graphs. 1629–1638. 12 indexed citations
4.
Xiao, Min, Song Yang, Song Yang, et al.. (2022). MiR-27a-3p and miR-30b-5p inhibited-vitamin D receptor involved in the progression of tuberculosis. Frontiers in Microbiology. 13. 1020542–1020542. 8 indexed citations
5.
6.
Ni, Yinhua, Qianpeng Zhang, Wenmin Long, et al.. (2022). Compound dietary fiber and high-grade protein diet improves glycemic control and ameliorates diabetes and its comorbidities through remodeling the gut microbiota in mice. Frontiers in Nutrition. 9. 959703–959703. 15 indexed citations
7.
Yang, Song, Jiamou Liu, & Kaiqi Zhao. (2021). Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. ResearchSpace (University of Auckland). 817–826. 11 indexed citations
8.
Liu, Jiamin, Song Yang, Hong Huang, Zhengying Li, & Guangyao Shi. (2020). A deep feature manifold embedding method for hyperspectral image classification. Remote Sensing Letters. 11(7). 620–629. 4 indexed citations
9.
Xie, Li, Song Yang, David Squirrell, & Ehsan Vaghefi. (2020). Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke. PLoS ONE. 15(4). e0225015–e0225015. 13 indexed citations
10.
Vaghefi, Ehsan, et al.. (2019). Detection of smoking status from retinal images; a Convolutional Neural Network study. Scientific Reports. 9(1). 7180–7180. 34 indexed citations
11.
Huang, Xin, He Zhang, Xin Zhou, Muhammad Ali Babar, & Song Yang. (2018). Synthesizing qualitative research in software engineering. 1207–1218. 28 indexed citations
12.
Pan, Shengli, Yingjie Zhou, Zhiyong Zhang, et al.. (2018). Identify Congested Links with Network Tomography Under Multipath Routing. Journal of Network and Systems Management. 27(2). 409–429. 6 indexed citations
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Yang, Song, Dezhao Wang, Hongxia Zhang, Wen He, & Buxing Chen. (2014). Echo-Tracking Technology Assessment of Carotid Artery Stiffness in Patients with Coronary Slow Flow. Ultrasound in Medicine & Biology. 41(1). 72–76. 13 indexed citations
15.
Yang, Song, Yichun Yang, Wen Wang, et al.. (2012). Association study of AGER gene polymorphism and hypertension in Han Chinese population. Gene. 498(2). 311–316. 8 indexed citations
16.
Yang, Song. (2011). ARM9-based Wireless Intelligent Vehicle Monitoring System.
17.
Yang, Song. (2008). Design and Realization of Voice-robot Based on Embedded. 1 indexed citations
18.
Yang, Andrew, Jacek L. Mostwin, Song Yang, R C Sanders, & Rene R. Genadry. (1996). Imaging features of pelvic prolapse: Detection with routine static MR imaging, CT, US, and intravenous pyelography - Lessons learned from dynamic MR imaging. Radiology. 201. 201–201. 1 indexed citations
19.
Yang, Song, et al.. (1995). Minimum Distance Estimation of the Center of Symmetry with Randomly Censored Data.. Metrika. 42(2). 79–97. 1 indexed citations
20.
Yang, Song. (1977). Linear Function of Concomitants of Order Statistics.. Defense Technical Information Center (DTIC). 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.

Explore authors with similar magnitude of impact

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