Baoxing Huai
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Signal Processing
- Topics
- Topic Modeling (20 papers)Natural Language Processing Techniques (11 papers)Text and Document Classification Technologies (5 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM Transactions on Information SystemsKnowledge and Information Systems
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Baoxing Huai
28 papers receiving 342 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 265
- Computer Vision and Pattern Recognition 85
- Information Systems 61
- Management Science and Operations Research 48
- Signal Processing 30
Countries citing papers authored by Baoxing Huai
This map shows the geographic impact of Baoxing Huai'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 Baoxing Huai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoxing Huai more than expected).
Fields of papers citing papers by Baoxing Huai
This network shows the impact of papers produced by Baoxing Huai. 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 Baoxing Huai. The network helps show where Baoxing Huai may publish in the future.
Co-authorship network of co-authors of Baoxing Huai
This figure shows the co-authorship network connecting the top 25 collaborators of Baoxing Huai. A scholar is included among the top collaborators of Baoxing Huai 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 Baoxing Huai. Baoxing Huai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 29 | |
| 12 | 38 | |
| 13 | 5 | |
| 14 | 25 | |
| 15 | 2 | |
| 16 | To Learn Effective Features: Understanding the Task-Specific Adaptation of MAML | 2 |
| 17 | 0 | |
| 18 | 10 | |
| 19 | 20 | |
| 20 | 11 |
About Baoxing Huai
Baoxing Huai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 31 papers that have together received 348 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (11 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Artificial Intelligence (265 citations), Computer Vision and Pattern Recognition (85 citations) and Management Science and Operations Research (48 citations). Baoxing Huai has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Enhong Chen, Xiaoye Qu, Nicholas Jing Yuan, Tong Xu, Zhi Zheng, Dazhong Shen, Zhou Zhao, Hengshu Zhu, Chao Wang and Tengfei Bao. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Knowledge and Information Systems.
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.