Yujiu Yang
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 2%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Topics
- Topic Modeling (33 papers)Natural Language Processing Techniques (20 papers)Multimodal Machine Learning Applications (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Yujiu Yang
114 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 558
- Media Technology 220
- Signal Processing 110
- Electrical and Electronic Engineering 101
Countries citing papers authored by Yujiu Yang
This map shows the geographic impact of Yujiu Yang'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 Yujiu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujiu Yang more than expected).
Fields of papers citing papers by Yujiu Yang
This network shows the impact of papers produced by Yujiu Yang. 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 Yujiu Yang. The network helps show where Yujiu Yang may publish in the future.
Co-authorship network of co-authors of Yujiu Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yujiu Yang. A scholar is included among the top collaborators of Yujiu Yang 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 Yujiu Yang. Yujiu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 48 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 16 | |
| 14 | 39 | |
| 15 | 50 | |
| 16 | Adder Attention for Vision Transformer | 4 |
| 17 | Association Between Body Composition and Frailty in Elder Inpatients | 3 |
| 18 | 12 | |
| 19 | 51 | |
| 20 | Latent Community Discovery with Network Regularization for Core Actors Clustering | 5 |
About Yujiu Yang
Yujiu Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 128 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (20 papers) and Multimodal Machine Learning Applications (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (220 citations) and Artificial Intelligence (558 citations). Yujiu Yang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Weihao Xia, Baoyuan Wu, Jing‐Hao Xue, Mingdeng Cao, Yuan Gong, Wenhuang Liu, Shuwei Shi, Shanshan Lao, Xiaoshuang Shi and Tianhe Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.