Junbo Zhao
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Information Systems
- Co-authors
- Yann LeCunMichaël MathieuJiatao GuChanghan WangPablo SprechmannAditya RameshYu GaiQi Huang
- Topics
- Topic Modeling (4 papers)Indoor and Outdoor Localization Technologies (2 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Journals
- Wireless NetworksIET Image ProcessingRare & Special e-Zone (The Hong Kong University of Science and Technology)
In The Last Decade
Junbo Zhao
17 papers receiving 488 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 305
- Computer Vision and Pattern Recognition 236
- Electrical and Electronic Engineering 48
- Computer Networks and Communications 45
- Information Systems 38
Countries citing papers authored by Junbo Zhao
This map shows the geographic impact of Junbo Zhao'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 Junbo Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbo Zhao more than expected).
Fields of papers citing papers by Junbo Zhao
This network shows the impact of papers produced by Junbo Zhao. 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 Junbo Zhao. The network helps show where Junbo Zhao may publish in the future.
Co-authorship network of co-authors of Junbo Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Junbo Zhao. A scholar is included among the top collaborators of Junbo Zhao 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 Junbo Zhao. Junbo Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | Levenshtein Transformer | 56 |
| 9 | Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs | 260 |
| 10 | GLoMo: Unsupervised Learning of Transferable Relational Graphs | 7 |
| 11 | Energy-based Generative Adversarial Networks | 55 |
| 12 | 95 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 7 |
About Junbo Zhao
Junbo Zhao is a scholar working on Computer Vision and Pattern Recognition, Transportation and Ecological Modeling, having authored 18 papers that have together received 514 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Indoor and Outdoor Localization Technologies (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (236 citations), Artificial Intelligence (305 citations) and Computational Mathematics (4 citations). Junbo Zhao has collaborated with scholars based in China, Hong Kong and Israel. Frequent co-authors include Yann LeCun, Michaël Mathieu, Jiatao Gu, Changhan Wang, Pablo Sprechmann, Aditya Ramesh, Yu Gai, Qi Huang, Quan Gan and Ziyue Huang. Their work appears in journals such as Wireless Networks, IET Image Processing and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.