Rongxiang Weng

982 total citations
12 papers, 183 citations indexed

About

Rongxiang Weng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Rongxiang Weng has authored 12 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Rongxiang Weng's work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Multimodal Machine Learning Applications (6 papers). Rongxiang Weng is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Multimodal Machine Learning Applications (6 papers). Rongxiang Weng collaborates with scholars based in China and United States. Rongxiang Weng's co-authors include Weihua Luo, Heng Yu, Shujian Huang, Jiajun Chen, Yue Hu, Zaixiang Zheng, Xinyu Dai, Heng Yu, Rong Jin and Hao Zhou and has published in prestigious 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.

In The Last Decade

Rongxiang Weng

12 papers receiving 173 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rongxiang Weng China	9	162	82	7	5	3	12	183
Khashayar Khosravi United States	3	89 0.5×	42 0.5×	7 1.0×	6 1.2×		6	99
Makoto Morishita Japan	8	126 0.8×	48 0.6×	14 2.0×	3 0.6×		20	144
Yinpei Dai China	8	181 1.1×	44 0.5×	16 2.3×	6 1.2×		14	201
Andrew Drozdov United States	7	143 0.9×	61 0.7×	5 0.7×	4 0.8×		13	151
J. Edward Hu United States	5	162 1.0×	50 0.6×	11 1.6×	5 1.0×		8	170
Ju Xu China	4	87 0.5×	57 0.7×	7 1.0×	3 0.6×		6	110
Yongjing Yin China	9	206 1.3×	86 1.0×	15 2.1×	6 1.2×	1 0.3×	25	226
Van-Tu Ninh Ireland	10	79 0.5×	165 2.0×	13 1.9×	2 0.4×		28	188
Ernie Chang Germany	9	133 0.8×	42 0.5×	11 1.6×	5 1.0×	1 0.3×	24	171
Thomas Scialom France	6	158 1.0×	46 0.6×	18 2.6×	5 1.0×		12	178

Countries citing papers authored by Rongxiang Weng

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Rongxiang Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Rongxiang Weng. A scholar is included among the top collaborators of Rongxiang Weng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rongxiang Weng. Rongxiang Weng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Weng, Rongxiang, et al.. (2023). Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13709–13717. 1 indexed citations

Weng, Rongxiang, et al.. (2023). G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network. 4747–4755. 2 indexed citations

Weng, Rongxiang, Heng Yu, Weihua Luo, & Min Zhang. (2022). Deep Fusing Pre-trained Models into Neural Machine Translation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 11468–11476. 4 indexed citations

Yu, Heng, et al.. (2022). Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7930–7944. 13 indexed citations

Hu, Yue, et al.. (2021). On Learning Universal Representations Across Languages. International Conference on Learning Representations. 33 indexed citations

Yu, Heng, et al.. (2020). Uncertainty-Aware Semantic Augmentation for Neural Machine Translation. 2724–2735. 16 indexed citations

Zheng, Zaixiang, Shujian Huang, Rongxiang Weng, Xinyu Dai, & Jiajun Chen. (2020). Improving Self-Attention Networks With Sequential Relations. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1707–1716. 16 indexed citations

Weng, Rongxiang, et al.. (2020). Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9266–9273. 41 indexed citations

Weng, Rongxiang, Haoran Wei, Shujian Huang, et al.. (2020). GRET: Global Representation Enhanced Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9258–9265. 8 indexed citations

10.

Weng, Rongxiang, et al.. (2020). Towards Enhancing Faithfulness for Neural Machine Translation. 2675–2684. 15 indexed citations

11.

Weng, Rongxiang, Hao Zhou, Shujian Huang, et al.. (2019). Correct-and-Memorize: Learning to Translate from Interactive Revisions. 5255–5263. 8 indexed citations

12.

Weng, Rongxiang, Shujian Huang, Zaixiang Zheng, Xinyu Dai, & Jiajun Chen. (2017). Neural Machine Translation with Word Predictions. 136–145. 26 indexed citations

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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