Xueguang Ma
- Artificial Intelligence top 5%
- Topic Modeling 19
- Natural Language Processing Techniques 11
- Semantic Web and Ontologies 5
- Domain Adaptation and Few-Shot Learning 4
-
- Multimodal Machine Learning Applications 8
- Information Systems top 10%
-
- Biomedical Text Mining and Ontologies 2
- Genomics and Phylogenetic Studies 2
-
- Misinformation and Its Impacts 2
- Co-authors
- Jimmy LinRonak PradeepRodrigo NogueiraSheng-Chieh LinJheng-Hong YangJamie CallanLuyu GaoWenhu Chen
- Journals
- Interactive Learning Environments (1 paper)ACM Transactions on Information Systems (1 paper)International Journal of Data Science and Analytics (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Xueguang Ma
27 papers receiving 403 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 334
- Health Informatics 11
- Computer Vision and Pattern Recognition 99
- Information Systems 99
- Management Science and Operations Research 32
Countries citing papers authored by Xueguang Ma
This map shows the geographic impact of Xueguang Ma'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 Xueguang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueguang Ma more than expected).
Fields of papers citing papers by Xueguang Ma
This network shows the impact of papers produced by Xueguang Ma. 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 Xueguang Ma. The network helps show where Xueguang Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xueguang Ma, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 19 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 75 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2021 | 8 | |
| 19 | H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. | 2020 | 4 |
| 20 | 2006 | 7 |
About Xueguang Ma
Xueguang Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Management Science and Operations Research, having authored 32 papers that have together received 427 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (11 papers), Multimodal Machine Learning Applications (8 papers), Semantic Web and Ontologies (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Biomedical Text Mining and Ontologies (2 papers), Misinformation and Its Impacts (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Artificial Intelligence (334 citations), Health Informatics (11 citations), Computer Vision and Pattern Recognition (99 citations), Information Systems (99 citations) and Management Science and Operations Research (32 citations). Xueguang Ma has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jimmy Lin, Ronak Pradeep, Rodrigo Nogueira, Sheng-Chieh Lin, Jheng-Hong Yang, Jamie Callan, Luyu Gao, Wenhu Chen, Roy Rada and Furu Wei. Their work appears in journals such as Interactive Learning Environments, ACM Transactions on Information Systems, International Journal of Data Science and Analytics, International Journal of Web-Based Learning and Teaching Technologies and Text REtrieval Conference.
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.