Can Yang

637 citations
29 papers · 469 · 1 hit paper · h-index 10

Impact in

Papers in

Can Yang

26 papers receiving 463 citations

Can Yang's Hit Papers

Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples 2022 · 108 citations
1080+1+2Years since publication255075100

Peers

Can Yang
Comparison fields: 5 of 107
  • Management, Monitoring, Policy and Law 186
  • Safety, Risk, Reliability and Quality 73
  • General Energy 8
  • Global and Planetary Change 110
  • Economics and Econometrics 107
Replace Guangwen Ma with:
Guangwen Ma China
Shanti Majithia United Kingdom
Christoph Schillings Germany
Ida Marie Solbrekke Norway
Meysam Argany Iran
Rong He United States
Selçuk Demir Türkiye
Can Yang relative to Guangwen Ma China Guangwen Ma's profile →
Citations per field
00.5×10.9×
Guangwen Ma · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Can Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Can Yang Line = papers co-authored together Can Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2
Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
Hit paper breakdown →
2022108
3 202242
4 202236
5 202127
6 202125
7 201925
8 202111
9 201810
10 20199
11 20169
12 20149
13 20247
14 20245
15 20205
16 20244
17 20133
18 20153
19 20243
20 20153

About Can Yang

Can Yang is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition, Artificial Intelligence, Management, Monitoring, Policy and Law and Molecular Biology, having authored 29 papers that have together received 469 indexed citations. Recurring topics across this work include Landslides and related hazards (7 papers), Geotechnical Engineering and Analysis (7 papers), Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (3 papers), Natural product bioactivities and synthesis (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers), Cryospheric studies and observations (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (186 citations), Safety, Risk, Reliability and Quality (73 citations), General Energy (8 citations), Global and Planetary Change (110 citations) and Economics and Econometrics (107 citations). Can Yang has collaborated with scholars based in China, Hong Kong and Malaysia. Frequent co-authors include Leilei Liu, Xiaomi Wang, Faming Huang, Fenghua Wen, Yue‐Jun Zhang, Lei Huang, Yili Zhang, Ting Xiao, Shir Li Wang and Baopu Li. Their work appears in journals such as Bulletin of Engineering Geology and the Environment, Geomatics Natural Hazards and Risk, Scientific Reports, Geoscience Frontiers and SIAM Journal on Imaging Sciences.

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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