Daoyu Lin

756 total citations
26 papers, 479 citations indexed

About

Daoyu Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Daoyu Lin has authored 26 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Daoyu Lin's work include Complex Network Analysis Techniques (7 papers), Data Visualization and Analytics (5 papers) and Advanced Image Processing Techniques (5 papers). Daoyu Lin is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Data Visualization and Analytics (5 papers) and Advanced Image Processing Techniques (5 papers). Daoyu Lin collaborates with scholars based in China and United States. Daoyu Lin's co-authors include Guangluan Xu, Yang Wang, Xian Sun, Kun Fu, Wenjia Xu, Chibiao Ding, Yunyan Zhang, Jun Li, Yirong Wu and Jun Li and has published in prestigious journals such as IEEE Access, Remote Sensing and Neurocomputing.

In The Last Decade

Daoyu Lin

24 papers receiving 469 citations

Peers

Countries citing papers authored by Daoyu Lin

Since Specialization

Citations

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

Fields of papers citing papers by Daoyu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoyu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Daoyu Lin. A scholar is included among the top collaborators of Daoyu 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 Daoyu Lin. Daoyu 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

#	Work	Indexed citations
1	Enhancing automated essay scoring with GCNs and multi-level features for robust multidimensional assessments 2024 ·Linguistics Vanguard ·Xiaoyi Tang, Daoyu Lin, (unknown)	1
2	Harnessing LLMs for multi-dimensional writing assessment: Reliability and alignment with human judgments 2024 ·Heliyon ·Xiaoyi Tang, Hongwei Chen, Daoyu Lin, (unknown)	8
3	SatelliteRF: Accelerating 3D Reconstruction in Multi-View Satellite Images with Efficient Neural Radiance Fields 2024 ·Applied Sciences ·Xin Zhou, Yang Wang, Daoyu Lin, (unknown), Biqing Li, Junyi Liu	4
4	Multivariate Network Layout Using Force-Directed Method with Attribute Constraints 2022 ·Applied Sciences ·(unknown), (unknown), Guangluan Xu, Yang Wang, Daoyu Lin	0
5	Generative Adversarial Networks for Zero-Shot Remote Sensing Scene Classification 2022 ·Applied Sciences ·(unknown), (unknown), Yang Wang, Daoyu Lin, Jinghua Zhang	17
6	Towards a Reliable Evaluation of Local Interpretation Methods 2021 ·Applied Sciences ·Jun Li, Daoyu Lin, Yang Wang, Guangluan Xu, Chibiao Ding	7
7	Structural Adversarial Variational Auto-Encoder for Attributed Network Embedding 2021 ·Applied Sciences ·(unknown), Feng Li, Yang Wang, Daoyu Lin, Guangluan Xu	0
8	A Question Answering-Based Framework for One-Step Event Argument Extraction 2020 ·IEEE Access ·Yunyan Zhang, Guangluan Xu, Yang Wang, Daoyu Lin, (unknown), Chenglong Wu, Jingyuan Zhang, Tinglei Huang	17
9	Where is the Model Looking At? – Concentrate and Explain the Network Attention 2020 ·IEEE Journal of Selected Topics in Signal Processing ·Wenjia Xu, Jiuniu Wang, Yang Wang, Guangluan Xu, Daoyu Lin, (unknown), Yirong Wu	12
10	TS-Extractor: large graph exploration via subgraph extraction based on topological and semantic information 2020 ·Journal of Visualization ·Kun Fu, (unknown), Yang Wang, Daoyu Lin, (unknown), (unknown), Xian Sun, (unknown)	2
11	A Graph Layout Framework Combining t-Distributed Neighbor Retrieval Visualizer and Energy Models 2019 ·IEEE Access ·Guangluan Xu, (unknown), (unknown), Daoyu Lin, Jing Chen, (unknown), Wenjia Xu	4
12	Edge-Nodes Representation Neural Machine for Link Prediction 2019 ·Algorithms ·Guangluan Xu, (unknown), Yang Wang, Daoyu Lin, Xian Sun, Kun Fu	5
13	SCRSR: An efficient recursive convolutional neural network for fast and accurate image super-resolution 2019 ·Neurocomputing ·Daoyu Lin, Guangluan Xu, Wenjia Xu, Yang Wang, Xian Sun, Kun Fu	13
14	High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network 2018 ·arXiv (Cornell University) ·Wenjia Xu, Guangluan Xu, Yang Wang, Xian Sun, Daoyu Lin, Yirong Wu	42
15	Dense-Add Net: An Novel Convolutional Neural Network for Remote Sensing Image Inpainting 2018 ·Daoyu Lin, Guangluan Xu, Yang Wang, Xian Sun, Kun Fu	6
16	Deep Memory Connected Neural Network for Optical Remote Sensing Image Restoration 2018 ·Remote Sensing ·Wenjia Xu, Guangluan Xu, (unknown), Xian Sun, Daoyu Lin, Yirong Wu	19
17	Transform a Simple Sketch to a Chinese Painting by a Multiscale Deep Neural Network 2018 ·Algorithms ·Daoyu Lin, Yang Wang, Guangluan Xu, Jun Li, Kun Fu	18
18	MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification 2017 ·IEEE Geoscience and Remote Sensing Letters ·Daoyu Lin, Kun Fu, Yang Wang, Guangluan Xu, Xian Sun	168
19	Deep Unsupervised Representation Learning for Remote Sensing Images. 2016 ·arXiv (Cornell University) ·Daoyu Lin	4
20	Weed recognition using Image Processing technique based on Leaf Parameters 2012 ·(unknown), (unknown), (unknown), Daoyu Lin	17

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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