Rongxiang Weng
- Artificial Intelligence top 10%
- Natural Language Processing Techniques 12
- Topic Modeling 12
- Sentiment Analysis and Opinion Mining 1
- Semantic Web and Ontologies 1
- Speech Recognition and Synthesis 1
- Text Readability and Simplification 1
-
- Multimodal Machine Learning Applications 6
- Handwritten Text Recognition Techniques 1
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Rongxiang Weng
12 papers receiving 173 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 162
- Computer Vision and Pattern Recognition 82
- Human-Computer Interaction 3
- Health Information Management 2
- Statistics, Probability and Uncertainty 3
Countries citing papers authored by Rongxiang Weng
This map shows the geographic impact of Rongxiang Weng'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 Rongxiang Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rongxiang Weng more than expected).
Fields of papers citing papers by Rongxiang Weng
This network shows the impact of papers produced by Rongxiang Weng. 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 Rongxiang Weng. The network helps show where Rongxiang Weng may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Rongxiang Weng, 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 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 13 | |
| 5 | On Learning Universal Representations Across Languages | 2021 | 33 |
| 6 | 2020 | 16 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 41 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2017 | 26 |
About Rongxiang Weng
Rongxiang Weng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 12 papers that have together received 183 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers), Multimodal Machine Learning Applications (6 papers), Handwritten Text Recognition Techniques (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Semantic Web and Ontologies (1 paper), Speech Recognition and Synthesis (1 paper) and Text Readability and Simplification (1 paper). The work is most often cited by research in Artificial Intelligence (162 citations), Computer Vision and Pattern Recognition (82 citations) and Human-Computer Interaction (3 citations). Rongxiang Weng has collaborated with scholars based in China and United States. Frequent co-authors include Weihua Luo, Heng Yu, Shujian Huang, Jiajun Chen, Yue Hu, Xinyu Dai, Zaixiang Zheng, Heng Yu, Rong Jin and Min Zhang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and International Conference on Learning Representations.
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.