Yan Huang

6.4k total citations · 1 hit paper
116 papers, 3.4k citations indexed

About

Yan Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yan Huang has authored 116 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 15 papers in Biomedical Engineering. Recurrent topics in Yan Huang's work include Multimodal Machine Learning Applications (35 papers), Human Pose and Action Recognition (32 papers) and Video Surveillance and Tracking Methods (23 papers). Yan Huang is often cited by papers focused on Multimodal Machine Learning Applications (35 papers), Human Pose and Action Recognition (32 papers) and Video Surveillance and Tracking Methods (23 papers). Yan Huang collaborates with scholars based in China, Australia and United States. Yan Huang's co-authors include Liang Wang, Wanli Ouyang, Chunfeng Song, Wei Wang, Yizhou Wang, Kai Niu, Linjiang Huang, Wei Wang, Ning Wang and Wei Wang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yan Huang

108 papers receiving 3.3k citations

Hit Papers

Mask-Guided Contrastive Attention Model for Person Re-ide... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Huang China 28 2.5k 922 570 249 184 116 3.4k
Yanghao Li China 17 2.5k 1.0× 1.2k 1.3× 508 0.9× 209 0.8× 115 0.6× 36 3.2k
Dan Xu China 22 1.4k 0.6× 670 0.7× 218 0.4× 276 1.1× 148 0.8× 332 2.6k
Xin Yu China 36 2.9k 1.2× 769 0.8× 533 0.9× 406 1.6× 247 1.3× 260 4.3k
Tatsuya Harada Japan 34 2.1k 0.9× 1.1k 1.2× 294 0.5× 360 1.4× 253 1.4× 236 3.9k
Yan Yan China 32 2.9k 1.2× 1.0k 1.1× 499 0.9× 197 0.8× 423 2.3× 266 4.1k
Andrew Calway United Kingdom 24 2.6k 1.1× 499 0.5× 233 0.4× 382 1.5× 235 1.3× 94 3.5k
Zhirong Wu China 14 3.1k 1.2× 1.6k 1.8× 247 0.4× 173 0.7× 126 0.7× 37 5.3k
Hanzi Wang China 34 3.0k 1.2× 781 0.8× 259 0.5× 309 1.2× 154 0.8× 210 3.6k
Takio Kurita Japan 24 1.3k 0.5× 642 0.7× 279 0.5× 196 0.8× 200 1.1× 204 2.6k
Arif Mahmood Pakistan 28 1.7k 0.7× 887 1.0× 357 0.6× 375 1.5× 216 1.2× 121 2.7k

Countries citing papers authored by Yan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Huang. A scholar is included among the top collaborators of Yan Huang 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 Yan Huang. Yan Huang 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.
Yuan, Hui, et al.. (2025). Multimodal Pretrained Knowledge for Real-world Object Navigation. 22(4). 713–729.
2.
Yu, Hongyuan, et al.. (2025). SliceMamba With Neural Architecture Search for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(10). 7446–7458. 5 indexed citations
3.
Wang, Sicheng & Yan Huang. (2024). Spatio-temporal photovoltaic prediction via a convolutional based hybrid network. Computers & Electrical Engineering. 123. 110021–110021. 5 indexed citations
4.
Zhao, Zhixin, Yifei Zhou, Lin Ma, et al.. (2024). Object Detection and Information Perception by Fusing YOLO-SCG and Point Cloud Clustering. Sensors. 24(16). 5357–5357. 2 indexed citations
5.
An, Dong, Hanqing Wang, Wenguan Wang, et al.. (2024). ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5130–5145. 27 indexed citations
6.
Huang, Yan, et al.. (2024). Unpaired Image-Text Matching via Multimodal Aligned Conceptual Knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5160–5176. 3 indexed citations
7.
Lin, Nan, Lian Li, Heyang Sun, et al.. (2024). vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data. Neural Networks. 175. 106319–106319. 7 indexed citations
8.
Huang, Yan, et al.. (2023). MAFormer: A New Method for Radar Reflectivity Reconstructing Using Satellite Data. Atmosphere. 14(12). 1723–1723. 1 indexed citations
9.
Liu, Qi, Qing Chang, Xiaohui Wang, et al.. (2023). Role of mitochondrial fusion proteins MFN2 and OPA1 on lung cellular senescence in chronic obstructive pulmonary disease. Respiratory Research. 24(1). 319–319. 25 indexed citations
10.
11.
Huang, Yan, et al.. (2023). A Hierarchical Clustering Obstacle Detection Method Applied to RGB-D Cameras. Electronics. 12(10). 2316–2316. 1 indexed citations
12.
Huang, Yan, et al.. (2021). Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision. Neural Information Processing Systems. 34. 16 indexed citations
13.
Wang, Zhicheng, Yuanhao Cai, Guan-An Wang, et al.. (2021). Efficient Human Pose Estimation by Learning Deeply Aggregated Representations. 1–6. 6 indexed citations
14.
Huang, Yan, Erjian Cheng, Yijun Yu, et al.. (2021). Giant isotropic magneto-thermal conductivity of metallic spin liquid candidate Pr2Ir2O7 with quantum criticality. Nature Communications. 12(1). 307–307. 10 indexed citations
15.
Fang, Yuqiang, Yan Huang, Erjian Cheng, et al.. (2020). Nodeless superconducting gap in the topological superconductor candidate 2MWS2. Physical review. B.. 102(2). 20 indexed citations
16.
Zhou, Chunguang, Chengjie Yu, & Yan Huang. (2020). Exploration on the Mixed Teaching Reform of Modern Enterprise Management Course. 4(7). 1 indexed citations
17.
Huang, Yan, Qi Wu, Wei Wang, & Liang Wang. (2018). Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(3). 636–650. 31 indexed citations
18.
Li, Lin, Zheng Wu, Zhaoxiang Zhang, Yan Huang, & Liang Wang. (2018). Skeleton-Based Relational Modeling for Action Recognition.. arXiv (Cornell University). 28 indexed citations
19.
Wang, Junbo, Wei Wang, Yan Huang, Liang Wang, & Tieniu Tan. (2018). M3: Multimodal Memory Modelling for Video Captioning. 7512–7520. 108 indexed citations
20.
Huang, Yan, Wei Wang, & Liang Wang. (2015). Bidirectional recurrent convolutional networks for multi-frame super-resolution. Neural Information Processing Systems. 28. 235–243. 129 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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