Yanqi Bao

782 total citations · 1 hit paper
10 papers, 567 citations indexed

About

Yanqi Bao is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Civil and Structural Engineering. According to data from OpenAlex, Yanqi Bao has authored 10 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Industrial and Manufacturing Engineering and 2 papers in Civil and Structural Engineering. Recurrent topics in Yanqi Bao's work include Advanced Neural Network Applications (7 papers), Visual Attention and Saliency Detection (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Yanqi Bao is often cited by papers focused on Advanced Neural Network Applications (7 papers), Visual Attention and Saliency Detection (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Yanqi Bao collaborates with scholars based in China, Netherlands and United Kingdom. Yanqi Bao's co-authors include Yunhui Yan, Kechen Song, Liming Huang, Jie Wang, Jie Liu, Yanyan Wang, Han Yu, Xingjie Li, Guo-Sen Xie and Huan Xiong and has published in prestigious journals such as Sensors, Automation in Construction and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Yanqi Bao

10 papers receiving 562 citations

Hit Papers

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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.

Triplet-Graph Reasoning Network for Few-Shot Metal Generic Surface Defect Segmentation

2021 199 citations Yanqi Bao, Kechen Song et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers

Countries citing papers authored by Yanqi Bao

Since Specialization

Citations

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

Fields of papers citing papers by Yanqi Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqi Bao

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs 2023 ·Yanqi Bao, (unknown), Jing Huo, Tianyu Ding, (unknown), Wenbin Li, Yang Gao	3
2	A Potential Vision-Based Measurements Technology: Information Flow Fusion Detection Method Using RGB-Thermal Infrared Images 2023 ·IEEE Transactions on Instrumentation and Measurement ·Kechen Song, Yanqi Bao, (unknown), Liming Huang, Yunhui Yan	27
3	Self-Enhanced Mixed Attention Network for Three-Modal Images Few-Shot Semantic Segmentation 2023 ·Sensors ·Kechen Song, (unknown), Yanqi Bao, (unknown), Yunhui Yan	3
4	A Novel Visible-Depth-Thermal Image Dataset of Salient Object Detection for Robotic Visual Perception 2022 ·IEEE/ASME Transactions on Mechatronics ·Kechen Song, Jie Wang, Yanqi Bao, Liming Huang, Yunhui Yan	65
5	Unsupervised defect detection with patch-aware mutual reasoning network in image data 2022 ·Automation in Construction ·Yanyan Wang, Kechen Song, Menghui Niu, Yanqi Bao, Hongwen Dong, Yunhui Yan	16
6	Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan‐Jakob Sonke, Efstratios Gavves	67
7	Unidirectional RGB-T salient object detection with intertwined driving of encoding and fusion 2022 ·Engineering Applications of Artificial Intelligence ·Jie Wang, Kechen Song, Yanqi Bao, Yunhui Yan, Yahong Han	23
8	CGFNet: Cross-Guided Fusion Network for RGB-T Salient Object Detection 2021 ·IEEE Transactions on Circuits and Systems for Video Technology ·Jie Wang, Kechen Song, Yanqi Bao, Liming Huang, Yunhui Yan	147
9	Visible and thermal images fusion architecture for few-shot semantic segmentation 2021 ·Journal of Visual Communication and Image Representation ·Yanqi Bao, Kechen Song, Jie Wang, Liming Huang, Hongwen Dong, Yunhui Yan	17
10	Triplet-Graph Reasoning Network for Few-Shot Metal Generic Surface Defect Segmentation breakdown → 2021 ·IEEE Transactions on Instrumentation and Measurement ·Yanqi Bao, Kechen Song, Jie Liu, Yanyan Wang, Yunhui Yan, Han Yu, Xingjie Li	199

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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