Junjie Hu
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Media Technology top 5%
- Co-authors
- Graham NeubigTin Lun LamFuqin DengAditya SiddhantMelvin JohnsonOrhan FıratDaniel YeungFabio Roli
- Topics
- Topic Modeling (18 papers)Natural Language Processing Techniques (16 papers)Advanced Vision and Imaging (10 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceScientific Reports
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junjie Hu
67 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 822
- Computer Vision and Pattern Recognition 636
- Electrical and Electronic Engineering 153
- Aerospace Engineering 146
- Media Technology 120
Countries citing papers authored by Junjie Hu
This map shows the geographic impact of Junjie 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 Junjie Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Hu more than expected).
Fields of papers citing papers by Junjie Hu
This network shows the impact of papers produced by Junjie 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 Junjie Hu. The network helps show where Junjie Hu may publish in the future.
Co-authorship network of co-authors of Junjie Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Hu. A scholar is included among the top collaborators of Junjie 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 Junjie Hu. Junjie 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | 107 | |
| 19 | 10 | |
| 20 | XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation | 202 |
About Junjie Hu
Junjie Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Advanced Vision and Imaging (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (636 citations), Artificial Intelligence (822 citations) and Media Technology (120 citations). Junjie Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Graham Neubig, Tin Lun Lam, Fuqin Deng, Aditya Siddhant, Melvin Johnson, Orhan Fırat, Daniel Yeung, Fabio Roli, Wing W. Y. Ng and Sebastian Ruder. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.