Xiaoman Pan
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Text and Document Classification Technologies
- Speech Recognition and Synthesis
- Advanced Graph Neural Networks
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 33
- Natural Language Processing Techniques 28
- Algorithms and Data Compression 3
- Text and Document Classification Technologies 2
- Semantic Web and Ontologies 2
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- Data Quality and Management 7
- Co-authors
- Heng Ji (11 shared papers)Kevin K. Knight (12 shared papers)Boliang Zhang (14 shared papers)Joel Nothman (2 shared papers)Jonathan May (6 shared papers)Heng Ji (14 shared papers)Taylor Cassidy (1 shared paper)Ulf Hermjakob (3 shared papers)
- Journals
- Theory and applications of categories (4 papers)Language Resources and Evaluation (1 paper)Big Data (1 paper)Machine Translation (1 paper)Biomaterials Science (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Xiaoman Pan
36 papers receiving 660 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 627
- Computer Vision and Pattern Recognition 144
- Management Science and Operations Research 78
- General Social Sciences 10
- Communication 17
Countries citing papers authored by Xiaoman Pan
This map shows the geographic impact of Xiaoman Pan'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 Xiaoman Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoman Pan more than expected).
Fields of papers citing papers by Xiaoman Pan
This network shows the impact of papers produced by Xiaoman Pan. 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 Xiaoman Pan. The network helps show where Xiaoman Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoman Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 231 | |
| 2 | 2015 | 63 | |
| 3 | 2020 | 52 | |
| 4 | 2018 | 33 | |
| 5 | 2016 | 30 | |
| 6 | Overview of TAC-KBP2017 13 Languages Entity Discovery and Linking. | 2017 | 30 |
| 7 | 2019 | 30 | |
| 8 | 2023 | 25 | |
| 9 | 2016 | 25 | |
| 10 | 2016 | 18 | |
| 11 | 2024 | 14 | |
| 12 | RPI BLENDER TAC-KBP2015 system description | 2015 | 14 |
| 13 | 2017 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2023 | 10 | |
| 17 | RPI BLENDER TAC-KBP2016 System Description. | 2016 | 10 |
| 18 | 2018 | 10 | |
| 19 | Bitext Name Tagging for Cross-lingual Entity Annotation Projection | 2016 | 8 |
| 20 | 2016 | 8 |
About Xiaoman Pan
Xiaoman Pan is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Hardware and Architecture and Signal Processing, having authored 37 papers that have together received 703 indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (28 papers), Multimodal Machine Learning Applications (9 papers), Data Quality and Management (7 papers), Algorithms and Data Compression (3 papers), Text and Document Classification Technologies (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (627 citations), Computer Vision and Pattern Recognition (144 citations), Management Science and Operations Research (78 citations), General Social Sciences (10 citations) and Communication (17 citations). Xiaoman Pan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Heng Ji, Kevin K. Knight, Boliang Zhang, Joel Nothman, Jonathan May, Heng Ji, Taylor Cassidy, Ulf Hermjakob, Lifu Huang and Dong Yu. Their work appears in journals such as Theory and applications of categories, Language Resources and Evaluation, Big Data, Machine Translation and Biomaterials Science.
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.