Boliang Zhang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Molecular Biology
- Information Systems
- Co-authors
- Xiaoman PanHeng JiKevin KnightJoel NothmanJonathan MayLifu HuangJuergen HahnDeborah L. McGuinness
- Topics
- Topic Modeling (18 papers)Natural Language Processing Techniques (15 papers)Multimodal Machine Learning Applications (5 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Vision and Pattern Recognition
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- United StatesMacaoChina
In The Last Decade
Boliang Zhang
26 papers receiving 426 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 415
- Computer Vision and Pattern Recognition 71
- Management Science and Operations Research 58
- Molecular Biology 41
- Information Systems 33
Countries citing papers authored by Boliang Zhang
This map shows the geographic impact of Boliang Zhang'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 Boliang Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boliang Zhang more than expected).
Fields of papers citing papers by Boliang Zhang
This network shows the impact of papers produced by Boliang Zhang. 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 Boliang Zhang. The network helps show where Boliang Zhang may publish in the future.
Co-authorship network of co-authors of Boliang Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Boliang Zhang. A scholar is included among the top collaborators of Boliang Zhang 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 Boliang Zhang. Boliang Zhang 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 | 3 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 202 | |
| 14 | Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging | 6 |
| 15 | Overview of TAC-KBP2017 13 Languages Entity Discovery and Linking. | 21 |
| 16 | RPI BLENDER TAC-KBP2017 13 Languages EDL System. | 2 |
| 17 | Bitext Name Tagging for Cross-lingual Entity Annotation Projection | 7 |
| 18 | RPI BLENDER TAC-KBP2016 System Description. | 10 |
| 19 | 42 | |
| 20 | 11 |
About Boliang Zhang
Boliang Zhang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 463 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Artificial Intelligence (415 citations), Management Science and Operations Research (58 citations) and Computer Vision and Pattern Recognition (71 citations). Boliang Zhang has collaborated with scholars based in United States, Macao and China. Frequent co-authors include Xiaoman Pan, Heng Ji, Kevin Knight, Joel Nothman, Jonathan May, Heng Ji, Lifu Huang, Juergen Hahn, Deborah L. McGuinness and Daniel P. Howsmon. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.