Mingbin Xu
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Speech Recognition and Synthesis
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- Data Management and Algorithms
Papers in
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- Topic Modeling 8
- Natural Language Processing Techniques 8
- Speech Recognition and Synthesis 5
- Speech and dialogue systems 2
- Domain Adaptation and Few-Shot Learning 1
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- Advanced Database Systems and Queries 1
- Co-authors
- Hui Jiang (4 shared papers)Junfeng Hou (1 shared paper)Li-Rong Dai (1 shared paper)Shiliang Zhang (1 shared paper)Henry Liu (1 shared paper)Calisto Zuzarte (1 shared paper)Chengyang Li (2 shared papers)Jianyin Miao (1 shared paper)
- Journals
- Theory and applications of categories (2 papers)Kidney & Blood Pressure Research (1 paper)Medicine (1 paper)Journal of Functional Foods (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Mingbin Xu
15 papers receiving 201 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 155
- Signal Processing 33
- Management Science and Operations Research 28
- Computer Networks and Communications 29
- Information Systems 25
Countries citing papers authored by Mingbin Xu
This map shows the geographic impact of Mingbin Xu'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 Mingbin Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingbin Xu more than expected).
Fields of papers citing papers by Mingbin Xu
This network shows the impact of papers produced by Mingbin Xu. 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 Mingbin Xu. The network helps show where Mingbin Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingbin Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 87 | |
| 2 | 2015 | 36 | |
| 3 | Cardinality estimation using neural networks | 2015 | 26 |
| 4 | 2015 | 20 | |
| 5 | 2018 | 17 | |
| 6 | 2023 | 9 | |
| 7 | The YorkNRM Systems for Trilingual EDL Tasks at TAC KBP 2016. | 2016 | 6 |
| 8 | 2019 | 5 | |
| 9 | 2017 | 5 | |
| 10 | FOFE-based Deep Neural Networks for Entity Discovery and Linking. | 2017 | 4 |
| 11 | 2023 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2018 | 0 |
About Mingbin Xu
Mingbin Xu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Pulmonary and Respiratory Medicine and Information Systems, having authored 16 papers that have together received 229 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (5 papers), Speech and dialogue systems (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Web Data Mining and Analysis (1 paper), Advanced Database Systems and Queries (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Artificial Intelligence (155 citations), Signal Processing (33 citations), Management Science and Operations Research (28 citations), Computer Networks and Communications (29 citations) and Information Systems (25 citations). Mingbin Xu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Hui Jiang, Junfeng Hou, Li-Rong Dai, Shiliang Zhang, Henry Liu, Calisto Zuzarte, Chengyang Li, Jianyin Miao, Lei Qin and Yong Cao. Their work appears in journals such as Theory and applications of categories, Kidney & Blood Pressure Research, Medicine and Journal of Functional Foods.
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.