Yihang Lou

1.6k total citations
27 papers, 1.1k citations indexed

About

Yihang Lou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yihang Lou has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Yihang Lou's work include Video Surveillance and Tracking Methods (17 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Neural Network Applications (9 papers). Yihang Lou is often cited by papers focused on Video Surveillance and Tracking Methods (17 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Neural Network Applications (9 papers). Yihang Lou collaborates with scholars based in China, Hong Kong and Singapore. Yihang Lou's co-authors include Ling‐Yu Duan, Yan Bai, Shiqi Wang, Jun Liu, Feng Gao, Yuwei Wu, Wen Gao, Tiejun Huang, Alex C. Kot and Jie Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Yihang Lou

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yihang Lou China 18 975 238 217 123 51 27 1.1k
Bogdan Stanciulescu France 12 648 0.7× 126 0.5× 220 1.0× 209 1.7× 70 1.4× 25 877
Jun-Wei Hsieh Taiwan 14 640 0.7× 133 0.6× 154 0.7× 96 0.8× 82 1.6× 53 779
Xingyu Zeng Hong Kong 14 1.1k 1.2× 287 1.2× 113 0.5× 117 1.0× 36 0.7× 18 1.3k
Yingying Zhu China 9 808 0.8× 167 0.7× 406 1.9× 64 0.5× 18 0.4× 21 1.0k
Karttikeya Mangalam United States 10 589 0.6× 341 1.4× 42 0.2× 138 1.1× 52 1.0× 19 877
Stefano Messelodi Italy 13 504 0.5× 85 0.4× 74 0.3× 139 1.1× 31 0.6× 40 687
David Gerónimo Spain 10 869 0.9× 185 0.8× 78 0.4× 266 2.2× 46 0.9× 11 1.1k
Tao Zhao United States 9 879 0.9× 289 1.2× 74 0.3× 39 0.3× 60 1.2× 14 967

Countries citing papers authored by Yihang Lou

Since Specialization
Citations

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

Fields of papers citing papers by Yihang Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihang Lou

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

All Works

20 of 20 papers shown
1.
You, Kaichao, Weihua He, Yaoyuan Wang, et al.. (2023). Event-Based Semantic Segmentation With Posterior Attention. IEEE Transactions on Image Processing. 32. 1829–1842. 20 indexed citations
2.
Bai, Yan, et al.. (2023). Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7595–7603. 46 indexed citations
3.
Bai, Yan, et al.. (2022). Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning. IEEE Transactions on Multimedia. 25. 7287–7298. 3 indexed citations
4.
Chen, Liang, et al.. (2022). Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 6248–6257. 15 indexed citations
5.
Chen, Liang, Yihang Lou, Yan Bai, et al.. (2022). Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2722–2730. 4 indexed citations
6.
Chen, Liang, Yihang Lou, Jianzhong He, Tao Bai, & Minghua Deng. (2022). Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16113–16122. 34 indexed citations
7.
Bai, Yan, et al.. (2021). Disentangled Feature Learning Network and a Comprehensive Benchmark for Vehicle Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6854–6871. 34 indexed citations
8.
Bai, Yan, et al.. (2021). Hierarchical Connectivity-Centered Clustering for Unsupervised Domain Adaptation on Person Re-Identification. IEEE Transactions on Image Processing. 30. 6715–6729. 31 indexed citations
9.
Lou, Yihang, Ling‐Yu Duan, Yong Luo, et al.. (2020). Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm. IEEE Transactions on Multimedia. 22(11). 3002–3013. 7 indexed citations
10.
Bai, Yan, Yihang Lou, Yongxing Dai, et al.. (2020). Disentangled Feature Learning Network for Vehicle Re-Identification. 474–480. 32 indexed citations
11.
Chen, Ziqian, Ling‐Yu Duan, Shiqi Wang, et al.. (2019). Toward Knowledge as a Service Over Networks: A Deep Learning Model Communication Paradigm. IEEE Journal on Selected Areas in Communications. 37(6). 1349–1363. 18 indexed citations
12.
Lou, Yihang, Yan Bai, Jun Liu, Shiqi Wang, & Ling‐Yu Duan. (2019). Embedding Adversarial Learning for Vehicle Re-Identification. IEEE Transactions on Image Processing. 28(8). 3794–3807. 131 indexed citations
13.
Lou, Yihang, Ling‐Yu Duan, Shiqi Wang, et al.. (2019). Front-End Smart Visual Sensing and Back-End Intelligent Analysis: A Unified Infrastructure for Economizing the Visual System of City Brain. IEEE Journal on Selected Areas in Communications. 37(7). 1489–1503. 19 indexed citations
14.
Lou, Yihang, Yan Bai, Jun Liu, Shiqi Wang, & Ling‐Yu Duan. (2019). VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild. 3230–3238. 215 indexed citations
15.
Lou, Yihang, Ling‐Yu Duan, Yong Luo, et al.. (2019). Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm. 19–24. 8 indexed citations
16.
Bai, Yan, Yihang Lou, Feng Gao, et al.. (2018). Group-Sensitive Triplet Embedding for Vehicle Reidentification. IEEE Transactions on Multimedia. 20(9). 2385–2399. 192 indexed citations
17.
Duan, Ling‐Yu, Yihang Lou, Shiqi Wang, Wen Gao, & Yong Rui. (2018). AI-Oriented Large-Scale Video Management for Smart City: Technologies, Standards, and Beyond. IEEE Multimedia. 26(2). 8–20. 34 indexed citations
18.
Lou, Yihang, Yan Bai, Shiqi Wang, & Ling‐Yu Duan. (2018). Multi-Scale Context Attention Network for Image Retrieval. 10. 1128–1136. 10 indexed citations
19.
Gao, Feng, Yan Bai, Yihang Lou, et al.. (2017). From Part to Whole. 1174–1182. 11 indexed citations
20.
Lou, Yihang, et al.. (2017). Incorporating intra-class variance to fine-grained visual recognition. 1452–1457. 48 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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