Weihua Luo

1.2k total citations
44 papers, 505 citations indexed

About

Weihua Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Weihua Luo has authored 44 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Weihua Luo's work include Natural Language Processing Techniques (37 papers), Topic Modeling (35 papers) and Multimodal Machine Learning Applications (17 papers). Weihua Luo is often cited by papers focused on Natural Language Processing Techniques (37 papers), Topic Modeling (35 papers) and Multimodal Machine Learning Applications (17 papers). Weihua Luo collaborates with scholars based in China, United States and Cayman Islands. Weihua Luo's co-authors include Boxing Chen, Heng Yu, Xiangyu Duan, Min Zhang, Rongxiang Weng, Zhirui Zhang, Yue Zhang, Shujian Huang, Kai Song and Junliang Guo and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE/ACM Transactions on Audio Speech and Language Processing and Transactions of the Association for Computational Linguistics.

In The Last Decade

Weihua Luo

38 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weihua Luo China	14	462	187	37	22	10	44	505
Devendra Singh Sachan United States	7	289 0.6×	118 0.6×	32 0.9×	17 0.8×	11 1.1×	11	331
Austin Matthews United States	5	355 0.8×	82 0.4×	30 0.8×	38 1.7×	11 1.1×	7	401
Rabih Zbib United States	8	508 1.1×	87 0.5×	36 1.0×	26 1.2×	6 0.6×	18	545
Roldano Cattoni Italy	13	585 1.3×	156 0.8×	31 0.8×	16 0.7×	6 0.6×	39	676
Joäo Graça Portugal	12	541 1.2×	85 0.5×	41 1.1×	45 2.0×	12 1.2×	24	579
Eliyahu Kiperwasser Israel	4	320 0.7×	56 0.3×	37 1.0×	25 1.1×	9 0.9×	4	368
Ferhan Türe United States	11	440 1.0×	91 0.5×	65 1.8×	28 1.3×	11 1.1×	30	512
Hany Hassan United States	14	568 1.2×	121 0.6×	49 1.3×	40 1.8×	12 1.2×	39	596
Shizhe Diao Hong Kong	9	208 0.5×	75 0.4×	25 0.7×	14 0.6×	14 1.4×	23	280
Wenpeng Hu China	12	390 0.8×	125 0.7×	56 1.5×	12 0.5×	12 1.2×	27	438

Countries citing papers authored by Weihua Luo

Since Specialization

Citations

This map shows the geographic impact of Weihua Luo'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 Weihua Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihua Luo more than expected).

Fields of papers citing papers by Weihua Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weihua Luo. 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 Weihua Luo. The network helps show where Weihua Luo may publish in the future.

Co-authorship network of co-authors of Weihua Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Luo. A scholar is included among the top collaborators of Weihua Luo 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 Weihua Luo. Weihua Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhu, He, et al.. (2025). LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy. 1481–1495.

Song, Dan, et al.. (2025). BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training. 26399–26408. 1 indexed citations

Yan, Dawei, Pengcheng Li, Yang Li, et al.. (2025). TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings. Proceedings of the AAAI Conference on Artificial Intelligence. 39(9). 9076–9084.

Zhou, Hao, Shujian Huang, Xue Han, et al.. (2025). MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing. Proceedings of the AAAI Conference on Artificial Intelligence. 39(24). 26092–26100. 1 indexed citations

Wang, Jifang, Longyue Wang, Yiyu Wang, et al.. (2025). A Unified Agentic Framework for Evaluating Conditional Image Generation. 12626–12646.

Zan, Daoguang, Bo Shen, Yongshun Gong, et al.. (2024). DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proceedings of the ACM on software engineering.. 1(FSE). 406–426. 1 indexed citations

Song, Dan, et al.. (2024). Better Fit: Accommodate Variations in Clothing Types for Virtual Try-On. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4287–4299. 1 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

Liu, Xin, Baosong Yang, Dayiheng Liu, et al.. (2021). Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. 6001–6011. 8 indexed citations

10.

Lin, Huan, Yao Liang, Baosong Yang, et al.. (2021). Towards User-Driven Neural Machine Translation. 4008–4018. 12 indexed citations

11.

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

12.

Zheng, Xin, Zhirui Zhang, Junliang Guo, et al.. (2021). Adaptive Nearest Neighbor Machine Translation. 368–374. 38 indexed citations

13.

Yu, Heng, et al.. (2020). Language-aware Interlingua for Multilingual Neural Machine Translation. 1650–1655. 17 indexed citations

14.

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

15.

Yu, Hongfei, et al.. (2020). Factorized Transformer for Multi-Domain Neural Machine Translation. 4221–4230. 5 indexed citations

16.

Duan, Xiangyu, et al.. (2019). Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention. 3162–3172. 40 indexed citations

17.

Li, Junhui, et al.. (2018). Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings. 1767–1776. 16 indexed citations

18.

Luo, Weihua, et al.. (2008). ICT-Crossn: The System of Cross-lingual Information Retrieval of ICT in NTCIR-7. NTCIR. 1 indexed citations

19.

He, Zhongjun, Haitao Mi, Yang Liu, et al.. (2007). The ICT Statistical Machine Translation Systems for IWSLT 2007. IWSLT. 119–124. 2 indexed citations

20.

Luo, Weihua, et al.. (2006). The Study of Topic Detection Based on Algorithm of Division and Multi-level Clustering with Multi-strategy Optimization. Zhongwen xinxi xuebao. 6 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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