Xiaojin Zhu
- Artificial Intelligence top 0.05%
- Computer Vision and Pattern Recognition top 0.1%
- Information Systems top 0.5%
- Signal Processing top 0.5%
- Computer Networks and Communications top 1%
- Co-authors
- Andrew B. GoldbergJohn LaffertyZoubin GhahramaniRoni RosenfeldDavid AndrzejewskiJunming XuMark CravenShike Mei
- Topics
- Machine Learning and Algorithms (29 papers)Topic Modeling (23 papers)Natural Language Processing Techniques (19 papers)
- Journals
- American Journal of PsychiatryIEEE Transactions on Geoscience and Remote SensingComputers in Human Behavior
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xiaojin Zhu
144 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Artificial Intelligence 8.0k
- Computer Vision and Pattern Recognition 4.1k
- Information Systems 1.3k
- Signal Processing 1.2k
- Computer Networks and Communications 859
Countries citing papers authored by Xiaojin Zhu
This map shows the geographic impact of Xiaojin Zhu'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 Xiaojin Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojin Zhu more than expected).
Fields of papers citing papers by Xiaojin Zhu
This network shows the impact of papers produced by Xiaojin Zhu. 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 Xiaojin Zhu. The network helps show where Xiaojin Zhu may publish in the future.
Co-authorship network of co-authors of Xiaojin Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojin Zhu. A scholar is included among the top collaborators of Xiaojin Zhu 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 Xiaojin Zhu. Xiaojin Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. | 4 |
| 6 | Non-visual vibration shape reconstruction for smart plate structure with bonded FBG sensors | 2 |
| 7 | S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification | 7 |
| 8 | 51 | |
| 9 | Humans Learn Using Manifolds, Reluctantly | 7 |
| 10 | Semi-supervised learning is observed in a speeded but not an unspeeded 2D categorization task | 8 |
| 11 | Transduction with Matrix Completion: Three Birds with One Stone | 132 |
| 12 | Introduction to Semi-Supervised Learningbreakdown → | 1152 |
| 13 | Human Rademacher Complexity | 10 |
| 14 | Learning Bigrams from Unigrams | 5 |
| 15 | Unlabeled data: Now it helps, now it doesn't | 116 |
| 16 | Human Active Learning | 35 |
| 17 | Learning to analyze binary computer code | 40 |
| 18 | Kernel regression with order preferences | 22 |
| 19 | A text-to-picture synthesis system for augmenting communication | 60 |
| 20 | Correlation clustering for crosslingual link detection | 17 |
About Xiaojin Zhu
Xiaojin Zhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 151 papers that have together received 12.6k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (29 papers), Topic Modeling (23 papers) and Natural Language Processing Techniques (19 papers). The work is most often cited by research in Artificial Intelligence (8.0k citations), Computer Vision and Pattern Recognition (4.1k citations) and Signal Processing (1.2k citations). Xiaojin Zhu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Andrew B. Goldberg, John Lafferty, Zoubin Ghahramani, Roni Rosenfeld, David Andrzejewski, Junming Xu, Mark Craven, Shike Mei, Paul Barford and Amy Bellmore. Their work appears in journals such as American Journal of Psychiatry, IEEE Transactions on Geoscience and Remote Sensing and Computers in Human Behavior.
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.