Ronghang Hu
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Co-authors
- Trevor DarrellMarcus RohrbachAmanpreet SinghKate SaenkoJacob AndreasSanghyun WooXinlei ChenIn So Kweon
- Topics
- Multimodal Machine Learning Applications (12 papers)Topic Modeling (7 papers)Domain Adaptation and Few-Shot Learning (7 papers)
- Journals
- SHILAP Revista de lepidopterología2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021 IEEE/CVF International Conference on Computer Vision (ICCV)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Ronghang Hu
17 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 1.1k
- Media Technology 106
- Radiology, Nuclear Medicine and Imaging 105
- Aerospace Engineering 72
Countries citing papers authored by Ronghang Hu
This map shows the geographic impact of Ronghang Hu'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 Ronghang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronghang Hu more than expected).
Fields of papers citing papers by Ronghang Hu
This network shows the impact of papers produced by Ronghang Hu. 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 Ronghang Hu. The network helps show where Ronghang Hu may publish in the future.
Co-authorship network of co-authors of Ronghang Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Ronghang Hu. A scholar is included among the top collaborators of Ronghang Hu 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 Ronghang Hu. Ronghang Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencodersbreakdown → | 595 |
| 2 | Scaling Language-Image Pre-Training via Maskingbreakdown → | 112 |
| 3 | 17 | |
| 4 | FLAVA: A Foundational Language And Vision Alignment Modelbreakdown → | 272 |
| 5 | Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer | 12 |
| 6 | 44 | |
| 7 | 5 | |
| 8 | 176 | |
| 9 | 119 | |
| 10 | 102 | |
| 11 | Speaker-Follower Models for Vision-and-Language Navigation | 61 |
| 12 | 25 | |
| 13 | 230 | |
| 14 | 242 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 125 |
About Ronghang Hu
Ronghang Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (1.1k citations) and Media Technology (106 citations). Ronghang Hu has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Trevor Darrell, Marcus Rohrbach, Amanpreet Singh, Kate Saenko, Jacob Andreas, Sanghyun Woo, Xinlei Chen, In So Kweon, Shoubhik Debnath and Saining Xie. Their work appears in journals such as SHILAP Revista de lepidopterología, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.