Luyu Gao

1.8k total citations · 1 hit paper
14 papers, 567 citations indexed

About

Luyu Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Luyu Gao has authored 14 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Luyu Gao's work include Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (6 papers). Luyu Gao is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (6 papers). Luyu Gao collaborates with scholars based in United States, Canada and China. Luyu Gao's co-authors include Jamie Callan, Zhuyun Dai, Jimmy Lin, Xueguang Ma, Graham Neubig, Zhengbao Jiang, Frank F. Xu, Zhiqing Sun, Yiming Yang and Qian Liu and has published in prestigious journals such as ACS Sensors, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Luyu Gao

14 papers receiving 546 citations

Hit Papers

align trajectories

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.

Active Retrieval Augmented Generation

2023 140 citations Zhengbao Jiang, Frank F. Xu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luyu Gao United States	9	412	159	107	53	39	14	567
Yutao Zhu China	13	274 0.7×	75 0.5×	170 1.6×	24 0.5×	14 0.4×	51	487
Jiana Meng China	9	275 0.7×	107 0.7×	55 0.5×	17 0.3×	15 0.4×	35	410
Xiaoqiang Luo United States	14	1.0k 2.4×	72 0.5×	82 0.8×	31 0.6×	116 3.0×	31	1.1k
Manuel Montes Mexico	11	475 1.2×	369 2.3×	72 0.7×	14 0.3×	27 0.7×	33	788
Ledell Wu China	8	406 1.0×	221 1.4×	46 0.4×	9 0.2×	42 1.1×	10	592
Chih‐Kuan Yeh United States	7	348 0.8×	158 1.0×	53 0.5×	7 0.1×	25 0.6×	9	436
Junyang Lin China	12	545 1.3×	184 1.2×	174 1.6×	12 0.2×	23 0.6×	30	651
Jin-Ge Yao China	12	398 1.0×	211 1.3×	42 0.4×	57 1.1×	21 0.5×	24	564

Countries citing papers authored by Luyu Gao

Since Specialization

Citations

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

Fields of papers citing papers by Luyu Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luyu Gao

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

All Works

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14 of 14 papers shown

1.

Gao, Luyu, Zhuyun Dai, Panupong Pasupat, et al.. (2023). RARR: Researching and Revising What Language Models Say, Using Language Models. 16477–16508. 50 indexed citations

2.

Gao, Luyu, et al.. (2023). DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. 10288–10303. 3 indexed citations

3.

Jiang, Zhengbao, Frank F. Xu, Luyu Gao, et al.. (2023). Active Retrieval Augmented Generation. 7969–7992. 140 indexed citations breakdown →

4.

Gao, Luyu, Xueguang Ma, Jimmy Lin, & Jamie Callan. (2023). Precise Zero-Shot Dense Retrieval without Relevance Labels. 1762–1777. 75 indexed citations

5.

Gao, Luyu, Xueguang Ma, Jimmy Lin, & Jamie Callan. (2023). Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. 3120–3124. 7 indexed citations

6.

Jiang, Zhengbao, Luyu Gao, Zhiruo Wang, et al.. (2022). Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. 2336–2349. 10 indexed citations

7.

Gao, Luyu & Jamie Callan. (2022). Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2843–2853. 71 indexed citations

8.

Gao, Luyu & Jamie Callan. (2022). Long Document Re-ranking with Modular Re-ranker. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2371–2376. 4 indexed citations

9.

Gao, Luyu, Yunyi Zhang, Jiawei Han, & Jamie Callan. (2021). Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup. 316–321. 29 indexed citations

10.

Gao, Luyu, Zhuyun Dai, & Jamie Callan. (2021). COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. 3030–3042. 88 indexed citations

11.

Gao, Luyu & Jamie Callan. (2021). Is Your Language Model Ready for Dense Representation Fine-tuning?. arXiv (Cornell University). 7 indexed citations

12.

Gao, Luyu, Xinyi Wang, & Graham Neubig. (2020). Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation. 3560–3566. 2 indexed citations

13.

Gao, Luyu, Zhuyun Dai, & Jamie Callan. (2020). Modularized Transfomer-based Ranking Framework. 4180–4190. 27 indexed citations

14.

Wilson, James, Kumar Sarthak, Wei Si, Luyu Gao, & Aleksei Aksimentiev. (2019). Rapid and Accurate Determination of Nanopore Ionic Current Using a Steric Exclusion Model. ACS Sensors. 4(3). 634–644. 54 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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