Bing Zhao
About
In The Last Decade
Bing Zhao
68 papers receiving 687 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 502
- Computer Vision and Pattern Recognition 92
- Molecular Biology 66
- Safety, Risk, Reliability and Quality 55
- Information Systems 52
Countries citing papers authored by Bing Zhao
This map shows the geographic impact of Bing 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 Bing Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Zhao more than expected).
Fields of papers citing papers by Bing Zhao
This network shows the impact of papers produced by Bing 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 Bing Zhao. The network helps show where Bing Zhao may publish in the future.
Co-authorship network of co-authors of Bing Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Bing Zhao. A scholar is included among the top collaborators of Bing 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 Bing Zhao. Bing 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 | 8 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | Segmentation of grape diseases leaf based on full convolution network. | 2 |
| 7 | 8 | |
| 8 | SRI's Submissions to Chinese-English PatentMT NTCIR10 Evaluation. | 1 |
| 9 | IBM Chinese-to-English PatentMT System for NTCIR-9. | 1 |
| 10 | A Statistical Tree Annotator and Its Applications | 3 |
| 11 | 10 | |
| 12 | Constituent Reordering and Syntax Models for English-to-Japanese Statistical Machine Translation | 14 |
| 13 | 8 | |
| 14 | Design of a new anti-stealing electricity device | 3 |
| 15 | M/H_2/1 Queuing System with Balking,N-Policy and Multiple Vacations | 1 |
| 16 | A Log-Linear Block Transliteration Model based on Bi-Stream HMMs | 16 |
| 17 | HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation | 31 |
| 18 | The UKA/CMU Statistical Machine Translation System for IWSLT 2006 | 15 |
| 19 | Phrase Pair Rescoring with Term Weighting for Statistical Machine Translatio. | 10 |
| 20 | 7 |
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.