Tiejun Zhao
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Kehai ChenXiaoping HuMing ZhouEiichiro SumitaMasao UtiyamaFuru WeiBing XuRui Wang
- Topics
- Natural Language Processing Techniques (113 papers)Topic Modeling (109 papers)Advanced MRI Techniques and Applications (37 papers)
- Cited by
- Artificial IntelligenceRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Nature CommunicationsPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Tiejun Zhao
176 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 900
- Computer Vision and Pattern Recognition 329
- Atomic and Molecular Physics, and Optics 213
- Cognitive Neuroscience 207
Countries citing papers authored by Tiejun Zhao
This map shows the geographic impact of Tiejun 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 Tiejun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Zhao more than expected).
Fields of papers citing papers by Tiejun Zhao
This network shows the impact of papers produced by Tiejun 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 Tiejun Zhao. The network helps show where Tiejun Zhao may publish in the future.
Co-authorship network of co-authors of Tiejun Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Zhao. A scholar is included among the top collaborators of Tiejun 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 Tiejun Zhao. Tiejun 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 54 | |
| 9 | 38 | |
| 10 | Context-Aware Smoothing for Neural Machine Translation | 4 |
| 11 | 2 | |
| 12 | Cross-lingual Projections between Languages from Different Families | 3 |
| 13 | Hierarchical Phrase Table Combination for Machine Translation | 1 |
| 14 | 3 | |
| 15 | HIT at TREC 2012 Microblog Track | 18 |
| 16 | Construction Technology of Ontology Knowledge Base in Multiple Minority Languages | 3 |
| 17 | Combining Multiple Chinese Word Segmentation Results for Statistical Machine Translation | 0 |
| 18 | Research and Development of Biomedical Text Mining | 4 |
| 19 | Discriminative Models for Automatic Acquisition of Translation Equivalences | 2 |
| 20 | Subcategorization Acquisition Based on Weakly Supervised SVM for Chinese Verbs | 0 |
About Tiejun Zhao
Tiejun Zhao is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 200 papers that have together received 2.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (113 papers), Topic Modeling (109 papers) and Advanced MRI Techniques and Applications (37 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Radiology, Nuclear Medicine and Imaging (900 citations) and Computer Vision and Pattern Recognition (329 citations). Tiejun Zhao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kehai Chen, Xiaoping Hu, Ming Zhou, Eiichiro Sumita, Masao Utiyama, Furu Wei, Bing Xu, Rui Wang, Conghui Zhu and Mary Bruno. Their work appears in journals such as Nature Communications, 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.