Xueguang Ma

1.4k citations
32 papers · 427 indexed · h-index 10

Xueguang Ma

27 papers receiving 403 citations

Peers

Xueguang Ma
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
Replace Ronak Pradeep with:
Ronak Pradeep Canada
Zhijiang Guo United Kingdom
Jungo Kasai United States
Wanjun Zhong China
Gabriel Stanovsky Israel
Alex Ratner United States
Timo Schick Germany
Navid Rekabsaz Austria
Anastasia Shimorina France
Gaole He Netherlands
Xueguang Ma relative to Ronak Pradeep Canada Ronak Pradeep's profile →
Citations per field
00.5×1.5×1.8×
Ronak Pradeep · 1×
Citations per year

Countries citing papers authored by Xueguang Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xueguang Ma Line = papers co-authored together Xueguang Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine.
20204
20 20067

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.

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