Ximing Lu
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Hate Speech and Cyberbullying Detection
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Health Informatics top 10%
Papers in
-
- Topic Modeling 19
- Natural Language Processing Techniques 14
- Advanced Text Analysis Techniques 4
- Semantic Web and Ontologies 4
- Sentiment Analysis and Opinion Mining 2
- Speech and dialogue systems 2
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- Multimodal Machine Learning Applications 6
- Digital Imaging for Blood Diseases 2
- Co-authors
- Yejin Choi (24 shared papers)Ronan Le Bras (8 shared papers)Chandra Bhagavatula (10 shared papers)Peter West (4 shared papers)Sean Welleck (6 shared papers)Alisa Liu (3 shared papers)Liwei Jiang (11 shared papers)Maarten Sap (6 shared papers)
- Journals
- Medical Image Analysis (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)PubMed (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Ximing Lu
25 papers receiving 533 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 470
- Health Informatics 14
- Computer Vision and Pattern Recognition 131
- General Social Sciences 9
- Safety Research 16
Countries citing papers authored by Ximing Lu
This map shows the geographic impact of Ximing Lu'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 Ximing Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ximing Lu more than expected).
Fields of papers citing papers by Ximing Lu
This network shows the impact of papers produced by Ximing Lu. 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 Ximing Lu. The network helps show where Ximing Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ximing Lu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 108 | |
| 2 | 2022 | 98 | |
| 3 | 2021 | 94 | |
| 4 | 2021 | 39 | |
| 5 | 2023 | 37 | |
| 6 | 2022 | 34 | |
| 7 | 2022 | 30 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 23 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 6 | |
| 15 | On-the-Fly Controlled Text Generation with Experts and Anti-Experts. | 2021 | 5 |
| 16 | 2021 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Ximing Lu
Ximing Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Communication, Computer Networks and Communications and Automotive Engineering, having authored 28 papers that have together received 555 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (14 papers), Multimodal Machine Learning Applications (6 papers), Advanced Text Analysis Techniques (4 papers), Semantic Web and Ontologies (4 papers), Digital Imaging for Blood Diseases (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (470 citations), Health Informatics (14 citations), Computer Vision and Pattern Recognition (131 citations), General Social Sciences (9 citations) and Safety Research (16 citations). Ximing Lu has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Yejin Choi, Ronan Le Bras, Chandra Bhagavatula, Peter West, Sean Welleck, Alisa Liu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi and Jack Hessel. Their work appears in journals such as Medical Image Analysis, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and PubMed.
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.