Yidan Feng

470 citations

19 papers · 316 indexed · h-index 7

Computer Graphics and Computer-Aided Design top 5%
- Computer Graphics and Visualization Techniques 4
Computer Vision and Pattern Recognition top 5%
- Image Enhancement Techniques 7
- Advanced Image Processing Techniques 6
- Advanced Vision and Imaging 4
- Advanced Neural Network Applications 3
Media Technology top 5%
Computational Mechanics top 10%
- 3D Shape Modeling and Analysis 3
Geology
- 3D Surveying and Cultural Heritage 3
Control and Systems Engineering
- Robot Manipulation and Learning 3

Co-authors: Mingqiang Wei Sen Deng Haoran Xie Fu Lee Wang Jun Wang Luming Liang Meng Wang Pheng‐Ann Heng
Cited by: Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Media Technology
Journals: Renewable Energy (1 paper)IEEE Transactions on Medical Imaging (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
Partner nations: China Hong Kong United States

In The Last Decade

Yidan Feng

18 papers receiving 310 citations

Peers

Countries citing papers authored by Yidan Feng

Since Specialization

Citations

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

Fields of papers citing papers by Yidan Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yidan Feng, 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 Yidan Feng Line = papers co-authored together Yidan Feng links everyone, so they are left out of the graph.

All Works

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19 of 19 papers shown

#	Work
1	Solar energy potential evaluation of multi-scale urban building surfaces under complex shading: A multi-dimensional analysis Renewable Energy ·Mingzhong Gao,Yidan Feng,Pingan Ni,Hanjie Zheng,Hongli Sun,Yongwang Zhang,Guojin Qin,Bao‐Jie He	2025	0
2	Dynamic evaluation and prediction of solar radiation effects on large-scale semi-open built heritage surfaces Environmental Impact Assessment Review ·Pingan Ni,Zengfeng Yan,Duo Zhang,Jiangli Wang,Chaolong Ma,Fan Li,Fuming Lei,Xue Zhang,Yidan Feng,Jingpeng Fu	2025	1
3	Bridging MRI Cross-Modality Synthesis and Multi-Contrast Super-Resolution by Fine-Grained Difference Learning IEEE Transactions on Medical Imaging ·Yidan Feng,Sen Deng,Jun Lyu,Jing Cai,Mingqiang Wei,Jing Qin	2024	3
4	Dual-space high-frequency learning for transformer-based MRI super-resolution Computer Methods and Programs in Biomedicine ·Haoneng Lin,Jing Zou,Kang Wang,Yidan Feng,Cheng Xu,Jun Lyu,Jing Qin	2024	4
5	Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting Proceedings of the AAAI Conference on Artificial Intelligence ·Sen Deng,Yidan Feng,Haoneng Lin,Yiting Fan,Alex Pui‐Wai Lee,Xiaowei Hu,Jing Qin	2024	2
6	Map Matching Based on Seq2Seq with Topology Information Applied Sciences ·Yulong Bai,Guolian Li,Tianxiu Lu,Yadong Wu,Weihan Zhang,Yidan Feng	2023	1
7	A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking IEEE Robotics and Automation Letters ·Xianzhi Li,Rui Cao,Yidan Feng,Kai Chen,Biqi Yang,Chi‐Wing Fu,Yichuan Li,Qi Dou,Yunhui Liu,Pheng‐Ann Heng	2022	34
8	Contrastive Semantic‐Guided Image Smoothing Network Computer Graphics Forum ·Jie Wang,Yongzhen Wang,Yidan Feng,Lina Gong,Xuefeng Yan,Haoran Xie,Fu Lee Wang,Mingqiang Wei	2022	4
9	SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·Biqi Yang,Xiaojie Gao,Kai Chen,Rui Cao,Yidan Feng,Xianzhi Li,Qi Dou,Chi‐Wing Fu,Yunhui Liu,Pheng‐Ann Heng	2022	1
10	MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Yiyang Shen,Yidan Feng,Weiming Wang,Dong Liang,Jing Qin,Haoran Xie,Mingqiang Wei	2022	3
11	Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking 2022 International Conference on Robotics and Automation (ICRA) ·Yidan Feng,Biqi Yang,Xianzhi Li,Chi‐Wing Fu,Rui Cao,Kai Chen,Qi Dou,Mingqiang Wei,Yunhui Liu,Pheng‐Ann Heng	2022	6
12	Low-rank appearance-preserving rain streak removal from single images Communications in Information and Systems ·Xiaoge He,Yidan Feng,Qian Xie,Jun Wang	2022	1
13	Easy2Hard: Learning to Solve the Intractables From a Synthetic Dataset for Structure-Preserving Image Smoothing IEEE Transactions on Neural Networks and Learning Systems ·Yidan Feng,Sen Deng,Xuefeng Yan,Xin Yang,Mingqiang Wei,Ligang Liu	2021	30
14	Direction-aware Feature-level Frequency Decomposition for Single Image Deraining Sen Deng,Yidan Feng,Mingqiang Wei,Haoran Xie,Yiping Chen,Jonathan Li,Xiao–Ping Zhang,Jing Qin	2021	2
15	Multi-scale selective image texture smoothing via intuitive single clicks Signal Processing Image Communication ·Chong Liu,Yidan Feng,Cui Yang,Mingqiang Wei,Jun Wang	2021	7
16	Selective Guidance Normal Filter for Geometric Texture Removal IEEE Transactions on Visualization and Computer Graphics ·Mingqiang Wei,Yidan Feng,Honghua Chen	2020	8
17	Detail-recovery Image Deraining via Context Aggregation Networks Sen Deng,Mingqiang Wei,Jun Wang,Yidan Feng,Luming Liang,Haoran Xie,Fu Lee Wang,Meng Wang	2020	153
18	Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud Haoran Zhou,Honghua Chen,Yidan Feng,Qiong Wang,Jing Qin,Haoran Xie,Fu Lee Wang,Mingqiang Wei,Jun Wang	2020	29
19	NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising Computer-Aided Design ·Zhiqi Li,Yingkui Zhang,Yidan Feng,Xingyu Xie,Qiong Wang,Mingqiang Wei,Pheng‐Ann Heng	2020	27

About Yidan Feng

Yidan Feng is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 316 indexed citations. Recurring topics across this work include Image Enhancement Techniques (7 papers), Advanced Image Processing Techniques (6 papers), Advanced Vision and Imaging (4 papers), Computer Graphics and Visualization Techniques (4 papers), 3D Surveying and Cultural Heritage (3 papers), Robot Manipulation and Learning (3 papers), Advanced Neural Network Applications (3 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (51 citations), Computer Vision and Pattern Recognition (248 citations) and Media Technology (91 citations). Yidan Feng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Mingqiang Wei, Sen Deng, Haoran Xie, Fu Lee Wang, Jun Wang, Luming Liang, Meng Wang, Pheng‐Ann Heng, Xuefeng Yan and Honghua Chen. Their work appears in journals such as Renewable Energy, IEEE Transactions on Medical Imaging and IEEE Transactions on Neural Networks and Learning Systems.

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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