Can Yang

637 total citations · 1 hit paper
29 papers, 469 citations indexed

About

Can Yang is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Can Yang has authored 29 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Safety, Risk, Reliability and Quality, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Can Yang's work include Geotechnical Engineering and Analysis (7 papers), Landslides and related hazards (7 papers) and Video Surveillance and Tracking Methods (4 papers). Can Yang is often cited by papers focused on Geotechnical Engineering and Analysis (7 papers), Landslides and related hazards (7 papers) and Video Surveillance and Tracking Methods (4 papers). Can Yang collaborates with scholars based in China, Hong Kong and Japan. Can Yang's co-authors include Leilei Liu, Xiaomi Wang, Faming Huang, Fenghua Wen, Yue‐Jun Zhang, Lei Huang, Yili Zhang, Ting Xiao, Shir Li Wang and Guoqing Xu and has published in prestigious journals such as Scientific Reports, Tetrahedron Letters and Gondwana Research.

In The Last Decade

Can Yang

26 papers receiving 463 citations

Hit Papers

Machine learning-based landslide susceptibility assessmen... 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. Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
    2022 108 citations Can Yang, Leilei 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
Can Yang China 10 186 110 107 73 64 29 469
Mutasem Sh. Alkhasawneh Malaysia 10 143 0.8× 101 0.9× 4 0.0× 43 0.6× 42 0.7× 14 340
Yu Meng China 14 36 0.2× 174 1.6× 13 0.1× 8 0.1× 124 1.9× 53 581
Alihan Teke Türkiye 5 177 1.0× 132 1.2× 3 0.0× 52 0.7× 59 0.9× 11 364
Xiaochun Xiao China 15 94 0.5× 44 0.4× 6 0.1× 57 0.8× 2 0.0× 81 636
Afshin Gholamy United States 4 12 0.1× 20 0.2× 11 0.1× 21 0.3× 9 0.1× 6 334
Hao Zhao China 10 17 0.1× 85 0.8× 15 0.1× 5 0.1× 35 0.5× 25 349
Xiaosheng Liu China 10 23 0.1× 57 0.5× 22 0.2× 8 0.1× 17 0.3× 34 361

Countries citing papers authored by Can Yang

Since Specialization
Citations

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

Fields of papers citing papers by Can Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Can Yang. A scholar is included among the top collaborators of Can 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 Can Yang. Can 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.
Jun, Zhang, et al.. (2025). Nanoparticle-mediated sodium butyrate delivery for repairing hypoxic-ischemic brain injury in premature infants. Materials Today Bio. 32. 101665–101665. 2 indexed citations
2.
Li, Ping, Can Yang, & Lei Mao. (2025). The analysis of transformer end-to-end model in Real-time interactive scene based on speech recognition technology. Scientific Reports. 15(1). 17950–17950.
3.
Liu, Leilei, et al.. (2025). Landslide susceptibility assessment using machine learning with a novel SHAP-based sampling strategy. Geoscience Frontiers. 17(2). 102188–102188.
4.
Liu, Yuxuan, et al.. (2025). Research on gas tunnel prediction in Central Sichuan using energy valley optimizer and support vector machine. Bulletin of Engineering Geology and the Environment. 84(1). 2 indexed citations
5.
Liu, Leilei, Hao Xiao, Yili Zhang, & Can Yang. (2024). An improved buffer-controlled sampling strategy for landslide susceptibility assessment considering the spatial heterogeneity of conditioning factors. Bulletin of Engineering Geology and the Environment. 83(12). 4 indexed citations
6.
7.
Liu, Leilei, Song Zhao, Can Yang, & Wengang Zhang. (2024). Quantifying uncertainty in landslide susceptibility mapping due to sampling randomness. International Journal of Disaster Risk Reduction. 114. 104966–104966. 5 indexed citations
8.
9.
Wang, Shir Li, et al.. (2022). Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations. Biomedical Signal Processing and Control. 74. 103493–103493. 42 indexed citations
10.
Liu, Leilei, Can Yang, & Xiaomi Wang. (2021). Landslide susceptibility assessment using feature selection-based machine learning models. Geomechanics and Engineering. 25(1). 1. 27 indexed citations
11.
Liu, Leilei, Can Yang, Faming Huang, & Xiaomi Wang. (2021). Landslide susceptibility mapping by attentional factorization machines considering feature interactions. Geomatics Natural Hazards and Risk. 12(1). 1837–1861. 25 indexed citations
12.
Cao, Zhimin, et al.. (2021). Well log data super-resolution based on locally linear embedding. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 76. 63–63. 1 indexed citations
13.
Yang, Can, et al.. (2020). New hemiterpene and furolactone-type lignan glycosides from Securidaca inappendiculata Hassk. Phytochemistry Letters. 37. 42–46. 5 indexed citations
14.
Xu, Kang, Can Yang, Yuanyuan Xu, et al.. (2019). Selective geranylation of biflavonoids by Aspergillus terreus aromatic prenyltransferase (AtaPT). Organic & Biomolecular Chemistry. 18(1). 28–31. 9 indexed citations
15.
Wen, Fenghua, et al.. (2018). Crude oil price shocks, monetary policy, and China's economy. International Journal of Finance & Economics. 24(2). 812–827. 113 indexed citations
16.
Liu, Hongyu, Yuliang Wang, & Can Yang. (2016). Mathematical Design of a Novel Gesture-Based Instruction/Input Device Using Wave Detection. SIAM Journal on Imaging Sciences. 9(2). 822–841. 9 indexed citations
17.
Li, Baopu, et al.. (2015). A novel color textural feature towards capsule endoscopy video summary. 56. 766–769. 3 indexed citations
18.
Yang, Can, Baopu Li, & Guoqing Xu. (2014). Particle filter based multi-pedestrian tracking by HOG and HOF. 1 12. 714–717. 2 indexed citations
19.
Zhou, Ran, Can Yang, Max Q.‐H. Meng, et al.. (2014). Capsule endoscopy images classification by random forests and ferns. 29. 414–417. 2 indexed citations
20.
Yang, Tianyu, Baopu Li, Can Yang, Max Q.‐H. Meng, & Guoqing Xu. (2013). Condensation-based multi-person tracking using an online SVM approach. 33. 1983–1988. 3 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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