Yusen He

1.7k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Yusen He is a scholar working on Management, Monitoring, Policy and Law, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, Yusen He has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management, Monitoring, Policy and Law, 10 papers in Electrical and Electronic Engineering and 8 papers in Civil and Structural Engineering. Recurrent topics in Yusen He's work include Energy Load and Power Forecasting (10 papers), Landslides and related hazards (10 papers) and Dam Engineering and Safety (5 papers). Yusen He is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Landslides and related hazards (10 papers) and Dam Engineering and Safety (5 papers). Yusen He collaborates with scholars based in United States, China and Canada. Yusen He's co-authors include Tinghui Ouyang, Huajin Li, Andrew Kusiak, Qiang Xu, Jiahao Deng, Stephen Baek, Zhiyu Sun, Dalei Peng, Fangzhou Liu and Zhenhao Tang and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Energy.

In The Last Decade

Yusen He

27 papers receiving 1.3k citations

Hit Papers

Detection and segmentation of loess landslides via satell... 2022 2026 2023 2024 2022 40 80 120
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. Detection and segmentation of loess landslides via satellite images: a two-phase framework
    2022 124 citations Huajin Li, Yusen He et al. Landslides profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusen He United States 18 478 448 311 307 199 31 1.3k
Jiahao Deng China 16 237 0.5× 207 0.5× 150 0.5× 129 0.4× 89 0.4× 66 971
Abbas Abbaszadeh Shahri Iran 22 82 0.2× 409 0.9× 574 1.8× 248 0.8× 289 1.5× 43 1.5k
Junwei Ma China 24 78 0.2× 994 2.2× 707 2.3× 157 0.5× 323 1.6× 52 1.6k
Youhei Kawamura Japan 18 237 0.5× 51 0.1× 199 0.6× 112 0.4× 114 0.6× 124 1.1k
Chaoxu Guo China 14 68 0.1× 375 0.8× 283 0.9× 275 0.9× 114 0.6× 23 2.6k
Lei Fan China 19 231 0.5× 96 0.2× 149 0.5× 63 0.2× 67 0.3× 76 1.1k
Hugo Díaz Portugal 13 143 0.3× 114 0.3× 115 0.4× 53 0.2× 90 0.5× 25 1.2k
Zhengjing Ma China 10 104 0.2× 287 0.6× 102 0.3× 157 0.5× 152 0.8× 15 723

Countries citing papers authored by Yusen He

Since Specialization
Citations

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

Fields of papers citing papers by Yusen He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusen He

This figure shows the co-authorship network connecting the top 25 collaborators of Yusen He. A scholar is included among the top collaborators of Yusen He 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 Yusen He. Yusen He 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.
He, Yusen, Stephen Baek, Xiaodong Wu, et al.. (2023). Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer. Frontiers in Oncology. 13. 868471–868471.
2.
Li, Huajin, Yusen He, Qiang Xu, et al.. (2022). Sematic segmentation of loess landslides with STAPLE mask and fully connected conditional random field. Landslides. 20(2). 367–380. 23 indexed citations
3.
Li, Huajin, Qiang Xu, Yusen He, et al.. (2021). Temporal detection of sharp landslide deformation with ensemble-based LSTM-RNNs and Hurst exponent. Geomatics Natural Hazards and Risk. 12(1). 3089–3113. 20 indexed citations
4.
He, Yusen, et al.. (2021). The Predictive Power of a Deep-Learning Segmentation Based Prognostication (DESEP) Model in Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 111(3). e111–e111. 1 indexed citations
5.
Li, Huajin, et al.. (2021). Rainfall prediction using optimally pruned extreme learning machines. Natural Hazards. 108(1). 799–817. 16 indexed citations
6.
7.
Sun, Zhiyu, Yusen He, Andrey Gritsenko, Amaury Lendasse, & Stephen Baek. (2020). Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks. Journal of Computational Design and Engineering. 7(1). 18–29. 9 indexed citations
8.
Sun, Zhiyu, et al.. (2020). ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation. Computer Graphics Forum. 39(6). 204–216. 15 indexed citations
9.
Baek, Stephen, Yusen He, Bryan G. Allen, et al.. (2019). What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival.. 7 indexed citations
10.
Baek, Stephen, Yusen He, Bryan G. Allen, et al.. (2019). Deep segmentation networks predict survival of non-small cell lung cancer. Scientific Reports. 9(1). 17286–17286. 70 indexed citations
11.
Ouyang, Tinghui, Xiaoming Zha, Liang Qin, Yusen He, & Zhenhao Tang. (2019). Prediction of wind power ramp events based on residual correction. Renewable Energy. 136. 781–792. 49 indexed citations
12.
Ouyang, Tinghui, Yusen He, Huajin Li, Zhiyu Sun, & Stephen Baek. (2019). Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(2). 127–136. 134 indexed citations
13.
Ouyang, Tinghui, et al.. (2019). Chaotic wind power time series prediction via switching data-driven modes. Renewable Energy. 145. 270–281. 66 indexed citations
14.
15.
Ouyang, Tinghui, et al.. (2018). Monitoring Wind Turbines' Unhealthy Status: A Data-Driven Approach. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(2). 163–172. 25 indexed citations
16.
Sun, Zhiyu, Yusen He, Andrey Gritsenko, Amaury Lendasse, & Stephen Baek. (2017). Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks.. arXiv (Cornell University). 5 indexed citations
17.
Ouyang, Tinghui, Andrew Kusiak, & Yusen He. (2017). Predictive model of yaw error in a wind turbine. Energy. 123. 119–130. 51 indexed citations
18.
He, Yusen & Andrew Kusiak. (2017). Performance Assessment of Wind Turbines: Data-Derived Quantitative Metrics. IEEE Transactions on Sustainable Energy. 9(1). 65–73. 77 indexed citations
19.
He, Yusen, Andrew Kusiak, Tinghui Ouyang, & Wei Teng. (2017). Data-driven modeling of truck engine exhaust valve failures: A case study. Journal of Mechanical Science and Technology. 31(6). 2747–2757. 22 indexed citations
20.
Ouyang, Tinghui, Andrew Kusiak, & Yusen He. (2016). Modeling wind-turbine power curve: A data partitioning and mining approach. Renewable Energy. 102. 1–8. 154 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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