Yanghao Li

7.6k citations
36 papers · 3.2k indexed · 5 hit papers · h-index 17
Topics
Human Pose and Action Recognition (10 papers)Advanced Neural Network Applications (9 papers)Multimodal Machine Learning Applications (8 papers)
Partner nations
ChinaUnited StatesIsrael

In The Last Decade

Yanghao Li

32 papers receiving 3.1k citations

Hit Papers

Scale-Aware Trident Networks for Object Detection201620262019202220192016202220182023200400600

Peers

Yanghao Li
Comparison fields: 5 of 145
  • Computer Vision and Pattern Recognition 2.5k
  • Artificial Intelligence 1.2k
  • Biomedical Engineering 508
  • Human-Computer Interaction 269
  • Media Technology 209
Replace Xuguang Lan with:
Xuguang Lan China
Feng Zheng China
Ning Jia China
Liang Zhang China
Xiantong Zhen China
Greg Mori Canada
Changick Kim South Korea
Jonathan Tompson United States
Zheng Zhu China
R. Venkatesh Babu India
Yanghao Li relative to Xuguang Lan China Xuguang Lan's profile →
Citations per field
00.5×1.5×2.0×
Xuguang Lan · 1×
Citations per year

Countries citing papers authored by Yanghao Li

Since Specialization
Citations

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

Fields of papers citing papers by Yanghao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanghao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yanghao Li. A scholar is included among the top collaborators of Yanghao Li 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 Yanghao Li. Yanghao Li 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
#WorkIndexed citations
1 0
2
Scaling Language-Image Pre-Training via Maskingbreakdown →
112
3 0
4 5
5 94
6 0
7
MViTv2: Improved Multiscale Vision Transformers for Classification and Detectionbreakdown →
424
8 28
9 3
10 1
11 51
12
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
7
13 10
14 300
15 8
16 8
17
Revisiting Batch Normalization For Practical Domain Adaptation
23
18 4
19
Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networksbreakdown →
596
20 1

About Yanghao Li

Yanghao Li is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Artificial Intelligence, having authored 36 papers that have together received 3.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Advanced Neural Network Applications (9 papers) and Multimodal Machine Learning Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Human-Computer Interaction (269 citations) and Artificial Intelligence (1.2k citations). Yanghao Li has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Naiyan Wang, Jiaying Liu, Yuntao Chen, Zhaoxiang Zhang, Xiaodi Hou, Christoph Feichtenhofer, Haoqi Fan, Cuiling Lan, Wenjun Zeng and Junliang Xing. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and Journal of Machine Learning Research.

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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