Huanbo Luan

6.3k total citations · 3 hit papers
75 papers, 3.6k citations indexed

About

Huanbo Luan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Huanbo Luan has authored 75 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Huanbo Luan's work include Topic Modeling (28 papers), Natural Language Processing Techniques (28 papers) and Multimodal Machine Learning Applications (25 papers). Huanbo Luan is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (28 papers) and Multimodal Machine Learning Applications (25 papers). Huanbo Luan collaborates with scholars based in China, Singapore and United States. Huanbo Luan's co-authors include Maosong Sun, Zhiyuan Liu, Yankai Lin, Tat‐Seng Chua, Shiqi Shen, Ruobing Xie, Hanwang Zhang, Jia Jia, Yang Liu and Yang Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, Information Sciences and Neurocomputing.

In The Last Decade

Huanbo Luan

73 papers receiving 3.5k citations

Hit Papers

Neural Relation Extraction with Selective Attention over ... 2015 2026 2018 2022 2016 2016 2015 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Neural Relation Extraction with Selective Attention over Instances
    2016 605 citations Yankai Lin, Shiqi Shen et al. profile →
  2. Representation Learning of Knowledge Graphs with Entity Descriptions
    2016 398 citations Zhiyuan Liu, Huanbo Luan et al. profile →
  3. Modeling Relation Paths for Representation Learning of Knowledge Bases
    2015 348 citations Yankai Lin, Zhiyuan Liu et al. profile →

Peers

Huanbo Luan
Xu Sun China
Partha Talukdar United States
Xiaojun Wan China
Antoine Bordes Israel
Yi Tay Singapore
Dongyan Zhao China
Praveen Paritosh United States
Lidong Bing China
Tong Xu China
Zhaochun Ren China
Xu Sun China
Huanbo Luan
Citations per year, relative to Huanbo Luan Huanbo Luan (= 1×) peers Xu Sun

Countries citing papers authored by Huanbo Luan

Since Specialization
Citations

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

Fields of papers citing papers by Huanbo Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanbo Luan

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

All Works

20 of 20 papers shown
1.
Zhu, Fengbin, Liangming Pan, Wenjie Wang, et al.. (2025). Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance. 6289–6297.
2.
Zhu, Fengbin, Yunshan Ma, Fuli Feng, et al.. (2025). FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. 4184–4187.
3.
Zhang, Jiacheng, Huanbo Luan, Maosong Sun, et al.. (2021). Neural Machine Translation With Explicit Phrase Alignment. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 1001–1010. 15 indexed citations
4.
Liu, Yang, Yuanhang Zheng, Gang Chen, et al.. (2021). Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2068–2077. 4 indexed citations
5.
Zheng, Yuanhang, Zhixing Tan, Meng Zhang, et al.. (2021). Self-Supervised Quality Estimation for Machine Translation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3322–3334. 4 indexed citations
6.
Liu, Yang, et al.. (2021). Data augmentation for low‐resource languages NMT guided by constrained sampling. International Journal of Intelligent Systems. 37(1). 30–51. 13 indexed citations
7.
Liu, Yang, et al.. (2020). Learning to Generate Explainable Plots for Neural Story Generation. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 585–593. 8 indexed citations
8.
Tan, Zhixing, Jiacheng Zhang, Gang Chen, et al.. (2020). THUMT: An Open-Source Toolkit for Neural Machine Translation. Conference of the Association for Machine Translation in the Americas. 116–122. 15 indexed citations
9.
Feng, Wenzheng, Jie Zhang, Yuxiao Dong, et al.. (2020). Graph Random Neural Networks for Semi-Supervised Learning on Graphs. Neural Information Processing Systems. 33. 22092–22103. 99 indexed citations
10.
Zhang, Jiacheng, Huanbo Luan, Maosong Sun, et al.. (2018). Improving the Transformer Translation Model with Document-Level Context. 533–542. 130 indexed citations
11.
Liu, Yang, et al.. (2017). Visualizing and Understanding Neural Machine Translation. 1150–1159. 92 indexed citations
12.
Lin, Yankai, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, & Maosong Sun. (2016). Neural Relation Extraction with Selective Attention over Instances. 2124–2133. 605 indexed citations breakdown →
13.
Zhang, Meng, Yang Liu, Huanbo Luan, & Maosong Sun. (2016). Listwise Ranking Functions for Statistical Machine Translation. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(8). 1464–1472. 5 indexed citations
14.
Zhang, Meng, Yang Liu, Huanbo Luan, Yiqun Liu, & Maosong Sun. (2016). Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover’s Distance Regularization. International Conference on Computational Linguistics. 3188–3198. 5 indexed citations
15.
Lin, Yankai, Zhiyuan Liu, Huanbo Luan, et al.. (2015). Modeling Relation Paths for Representation Learning of Knowledge Bases. 705–714. 348 indexed citations breakdown →
16.
Luo, Hongyin, Zhiyuan Liu, Huanbo Luan, & Maosong Sun. (2015). Online Learning of Interpretable Word Embeddings. 1687–1692. 34 indexed citations
17.
Chen, Xinxiong, Lei Xu, Zhiyuan Liu, Maosong Sun, & Huanbo Luan. (2015). Joint learning of character and word embeddings. International Conference on Artificial Intelligence. 1236–1242. 142 indexed citations
18.
Zhang, Xishan, Hanwang Zhang, Yongdong Zhang, et al.. (2015). Deep Fusion of Multiple Semantic Cues for Complex Event Recognition. IEEE Transactions on Image Processing. 25(3). 1033–1046. 55 indexed citations
19.
Neo, Shi-Yong, et al.. (2008). VisionGo. National University of Singapore. 559–560. 7 indexed citations
20.
Chua, Tat‐Seng, Shi-Yong Neo, Yan-Tao Zheng, et al.. (2007). TRECVID 2007 Search Tasks by NUS-ICT. TRECVID. 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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