Yaohai Lin

531 total citations
24 papers, 406 citations indexed

About

Yaohai Lin is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yaohai Lin has authored 24 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Renewable Energy, Sustainability and the Environment, 7 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Yaohai Lin's work include Photovoltaic System Optimization Techniques (10 papers), Solar Radiation and Photovoltaics (6 papers) and Remote-Sensing Image Classification (3 papers). Yaohai Lin is often cited by papers focused on Photovoltaic System Optimization Techniques (10 papers), Solar Radiation and Photovoltaics (6 papers) and Remote-Sensing Image Classification (3 papers). Yaohai Lin collaborates with scholars based in China, Australia and Hong Kong. Yaohai Lin's co-authors include Peijie Lin, Shuying Cheng, Lijun Wu, Zhicong Chen, Xiaoyang Lu, Riqing Chen, Changcai Yang, Yunfeng Lai, Hua Yang and Lijin Wang and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and IEEE Access.

In The Last Decade

Yaohai Lin

23 papers receiving 397 citations

Peers

Yaohai Lin

RESE

EEE

CSE

IME

Xiaoyang Lu China

Fábio Meneghetti Ugulino de Araújo Brazil

Yurni Oktarina Indonesia

Rolla Almodfer China

Ayman Youssef Egypt

Alberto Reyes Mexico

Khaled Dhibi Qatar

Mohammed Aslam Husain India

Rijun Wang China

Mohsin Shahzad Pakistan

Xiaoyang Lu China

Yaohai Lin

169 ×0.8

RESE

112 ×0.9

122 ×1.1

EEE

69 ×1.0

CSE

51 ×0.8

IME

Citations per year, relative to Yaohai Lin Yaohai Lin (= 1×) peers Xiaoyang Lu

Countries citing papers authored by Yaohai Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yaohai Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaohai Lin

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

All Works

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20 of 20 papers shown

Lin, Peijie, Feng Guo, Yaohai Lin, et al.. (2025). Fault diagnosis of photovoltaic arrays with different degradation levels based on cross-domain adaptive generative adversarial network. Applied Energy. 386. 125578–125578. 5 indexed citations

Lin, Peijie, et al.. (2025). Assessment of power loss caused by soiling PV modules using a dual branch multi-modality deep learning network framework. Renewable Energy. 248. 122926–122926.

Lin, Yen-Ting, et al.. (2025). GLN-LRF: global learning network based on large receptive fields for hyperspectral image classification. Frontiers in Remote Sensing. 6. 1 indexed citations

Lin, Peijie, et al.. (2023). An improved YOLOv5s method based bruises detection on apples using cold excitation thermal images. Postharvest Biology and Technology. 199. 112280–112280. 24 indexed citations

Lin, Peijie, Feng Guo, Xiaoyang Lu, et al.. (2023). A compound fault diagnosis model for photovoltaic array based on 1D VoVNet-SVDD by considering unknown faults. Solar Energy. 267. 112155–112155. 6 indexed citations

Chen, Riqing, et al.. (2023). Panicle-Cloud: An Open and AI-Powered Cloud Computing Platform for Quantifying Rice Panicles from Drone-Collected Imagery to Enable the Classification of Yield Production in Rice. Plant Phenomics. 5. 105–105. 24 indexed citations

Chen, Zhiming, Yongsheng Wang, Rongyu Huang, et al.. (2022). Integration of transcriptomic and proteomic analyses reveals several levels of metabolic regulation in the excess starch and early senescent leaf mutant lses1 in rice. BMC Plant Biology. 22(1). 137–137. 8 indexed citations

Lin, Yaohai, et al.. (2022). Contrastive label correction for noisy label learning. Information Sciences. 611. 173–184. 15 indexed citations

Yang, Changcai, et al.. (2022). In-Field Citrus Disease Classification via Convolutional Neural Network from Smartphone Images. Agriculture. 12(9). 1487–1487. 9 indexed citations

10.

Lin, Yaohai, et al.. (2022). A detection approach for bundled log ends using K-median clustering and improved YOLOv4-Tiny network. Computers and Electronics in Agriculture. 194. 106700–106700. 22 indexed citations

11.

Liu, Xin, Yizhang Liu, Changcai Yang, et al.. (2021). Enhancing two-view correspondence learning by local-global self-attention. Neurocomputing. 459. 176–187. 6 indexed citations

12.

Lin, Peijie, Xiaoyang Lu, Yaohai Lin, et al.. (2021). Compound fault diagnosis model for Photovoltaic array using multi-scale SE-ResNet. Sustainable Energy Technologies and Assessments. 50. 101785–101785. 32 indexed citations

13.

Peng, Xi, Peijie Lin, Yaohai Lin, et al.. (2021). Online Fault Diagnosis for Photovoltaic Arrays Based on Fisher Discrimination Dictionary Learning for Sparse Representation. IEEE Access. 9. 30180–30192. 17 indexed citations

14.

Lin, Peijie, Yaohai Lin, Yunfeng Lai, et al.. (2020). Hour-ahead photovoltaic power forecast using a hybrid GRA-LSTM model based on multivariate meteorological factors and historical power datasets. IOP Conference Series Earth and Environmental Science. 431(1). 12059–12059. 9 indexed citations

15.

Zhang, Zejun, Huabing Zhou, Riqing Chen, et al.. (2019). SAR Image Segmentation Using Hierarchical Region Merging With Orientated Edge Strength Weighted Kuiper’s Distance. IEEE Access. 7. 84479–84496. 6 indexed citations

16.

Lu, Xiaoyang, Peijie Lin, Shuying Cheng, et al.. (2019). Fault diagnosis for photovoltaic array based on convolutional neural network and electrical time series graph. Energy Conversion and Management. 196. 950–965. 139 indexed citations

17.

Chen, Liang-Chia, Peijie Lin, Zhicong Chen, et al.. (2018). Fault diagnosis and classification for photovoltaic arrays based on principal component analysis and support vector machine. IOP Conference Series Earth and Environmental Science. 188. 12089–12089. 14 indexed citations

18.

Lin, Peijie, et al.. (2017). A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays. International Journal of Photoenergy. 2017. 1–14. 39 indexed citations

19.

Zhao, Guanghui, et al.. (2016). Parallel Implementation of the Range-Doppler Radar Processing on a GPU Architecture. 76–79. 1 indexed citations

20.

Lin, Yaohai, Guangming Shi, Dahua Gao, & Danhua Liu. (2013). High-resolution spectral imaging based on coded dispersion. Applied Optics. 52(5). 1041–1041. 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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