Junyu Han

493 total citations
17 papers, 178 citations indexed

About

Junyu Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Junyu Han has authored 17 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Junyu Han's work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Power Systems Fault Detection (3 papers). Junyu Han is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Power Systems Fault Detection (3 papers). Junyu Han collaborates with scholars based in China, United Kingdom and United States. Junyu Han's co-authors include P.A. Crossley, Errui Ding, Jingdong Wang, Xiao Tan, Xiangru Lin, Wei Zhang, Wei Zhang, Xiaomao Li, Haocheng Feng and Guanbin Li and has published in prestigious journals such as Medicine, Remote Sensing and Ecotoxicology and Environmental Safety.

In The Last Decade

Junyu Han

16 papers receiving 165 citations

Peers

Countries citing papers authored by Junyu Han

Since Specialization

Citations

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

Fields of papers citing papers by Junyu Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyu Han

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Multi-Domain Incremental Learning for Face Presentation Attack Detection 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Guosheng Zhang, (unknown), Ajian Liu, Gang Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang	16
2	Lead acetate induces cartilage defects and bone loss in zebrafish embryos by disrupting the GH/IGF-1 axis 2023 ·Ecotoxicology and Environmental Safety ·Rui Yan, (unknown), Qianlei Yang, Xiaoyun Zhang, Junyu Han, (unknown), (unknown), Xirui Wang, Yu Zheng, Heran Li, Hengdong Zhang, Yan An	15
3	Cyclically Disentangled Feature Translation for Face Anti-spoofing 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Guosheng Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang	18
4	CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision 2023 ·Shuo Li, Yue He, (unknown), Wei Zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang	8
5	Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection 2023 ·Jiaming Li, Xiangru Lin, Wei Zhang, Xiao Tan, Yingying Li, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li	4
6	Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection 2023 ·Chang Liu, (unknown), Xiangru Lin, Wei Zhang, Xiao Tan, Junyu Han, Xiaomao Li, Errui Ding, Jingdong Wang	36
7	Semi-DETR: Semi-Supervised Object Detection with Detection Transformers 2023 ·Jiacheng Zhang, Xiangru Lin, Wei Zhang, (unknown), Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li	36
8	Encoder-Decoder Structure with Multiscale Receptive Field Block for Unsupervised Depth Estimation from Monocular Video 2022 ·Remote Sensing ·(unknown), Junyu Han, (unknown), Ruifang Dong, Jiangming Kan	2
9	Comparison of coronary artery bypass grafting and percutaneous coronary intervention for syphilitic coronary artery ostial lesions 2020 ·Medicine ·Junyu Han, (unknown), Weihua Li, Qiang Xie, Zhengrong Huang, Shuyu Yang	3
10	Research on partial discharge image recognition and intelligent diagnosis of distribution switchgear 2018 ·(unknown), Junyu Han, (unknown), Lu Bai, Xiaofei Liu, (unknown)	0
11	Vision-based illegal human ladder climbing action recognition in substation 2017 ·Tianzheng Wang, (unknown), (unknown), Yujia Zhang, Junyu Han, Shuai Wang, (unknown), Xiaoguang Zhao	1
12	Traveling wave fault locator for mixed, overhead, and underground teed transmission feeders 2015 ·IEEJ Transactions on Electrical and Electronic Engineering ·Junyu Han, P.A. Crossley	3
13	Fault Location on a Mixed Overhead and Underground Transmission Feeder Using a Multiple-Zone Quadrilateral Impedance Relay and a Double-ended Travelling Wave Fault Locator 2014 ·Junyu Han, P.A. Crossley	11
14	Fault location on mixed overhead line and cable transmission networks 2013 ·Junyu Han, P.A. Crossley	20
15	Design of the household energy management system 2012 ·(unknown), (unknown), Bisheng Shi, Junyu Han, (unknown)	3
16	Application of Chaotic Time Series Forecast in Short-term Power Load Forecast 2007 ·Junyu Han	1
17	Analysis of Shentou NO.2 Power Plant 500 kV SF_6 Circuit Breaker Closing Resistor Fault 2005 ·Junyu Han	1

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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