Yi Luan

3.0k total citations · 1 hit paper
19 papers, 697 citations indexed

About

Yi Luan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yi Luan has authored 19 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Yi Luan's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech Recognition and Synthesis (4 papers). Yi Luan is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech Recognition and Synthesis (4 papers). Yi Luan collaborates with scholars based in United States, China and Japan. Yi Luan's co-authors include Hannaneh Hajishirzi, Mari Ostendorf, Luheng He, Kristina Toutanova, Michael Collins, Jacob Eisenstein, Rik Koncel-Kedziorski, Mirella Lapata, Shinji Watanabe and Bret Harsham and has published in prestigious journals such as The Science of The Total Environment, The Journal of the Acoustical Society of America and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Yi Luan

19 papers receiving 658 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.

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

2018 335 citations Yi Luan, Luheng He et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi Luan United States	9	621	126	104	71	63	19	697
Pengjun Xie China	13	586 0.9×	77 0.6×	73 0.7×	43 0.6×	65 1.0×	49	674
Kira Griffitt United States	7	1.0k 1.6×	113 0.9×	98 0.9×	93 1.3×	62 1.0×	13	1.0k
Guohong Fu China	15	905 1.5×	112 0.9×	96 0.9×	140 2.0×	61 1.0×	62	969
Diego Marcheggiani Italy	8	601 1.0×	106 0.8×	75 0.7×	78 1.1×	33 0.5×	14	671
Cícero Nogueira dos Santos United States	11	559 0.9×	125 1.0×	59 0.6×	39 0.5×	26 0.4×	38	613
Gabriel Stanovsky Israel	12	676 1.1×	136 1.1×	89 0.9×	55 0.8×	30 0.5×	43	737
Mihir Kale United States	7	942 1.5×	220 1.7×	85 0.8×	26 0.4×	34 0.5×	9	1.0k
Luheng He United States	12	1.0k 1.6×	189 1.5×	117 1.1×	96 1.4×	79 1.3×	13	1.1k
Abe Ittycheriah United States	7	612 1.0×	118 0.9×	75 0.7×	48 0.7×	34 0.5×	9	643
Yaser Al-Onaizan United States	13	653 1.1×	98 0.8×	69 0.7×	43 0.6×	33 0.5×	28	696

Countries citing papers authored by Yi Luan

Since Specialization

Citations

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

Fields of papers citing papers by Yi Luan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Luan. A scholar is included among the top collaborators of Yi 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 Yi Luan. Yi Luan 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:

19 of 19 papers shown

1.

Luan, Yi. (2024). Network Traffic Anomaly Detection Based on Federated Learning. 224–228. 2 indexed citations

2.

Yan, Zhengwen, Yi Luan, Jiangjun Ran, et al.. (2024). Optimal Design of a Third Pair of Gravity Satellites to Augment Two Existing Polar Pairs to Enhance Earth's Temporal Gravity Field Recovery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14145–14160. 2 indexed citations

3.

Ran, Jiangjun, Lin Liu, Guoqing Zhang, et al.. (2023). Contrasting lake changes in Tibet revealed by recent multi-modal satellite observations. The Science of The Total Environment. 908. 168342–168342. 5 indexed citations

4.

Hu, Hexiang, Yi Luan, Yang Chen, et al.. (2023). Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. 12031–12041. 7 indexed citations

5.

Wu, Zeqiu, Yi Luan, Hannah Rashkin, et al.. (2022). CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. 10000–10014. 21 indexed citations

6.

Luan, Yi, Jacob Eisenstein, Kristina Toutanova, & Michael Collins. (2021). Sparse, Dense, and Attentional Representations for Text Retrieval. Transactions of the Association for Computational Linguistics. 9. 329–345. 175 indexed citations

7.

Koncel-Kedziorski, Rik, et al.. (2019). . 2284–2293. 80 indexed citations

8.

Luan, Yi, Luheng He, Mari Ostendorf, & Hannaneh Hajishirzi. (2018). Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction. 3219–3232. 335 indexed citations breakdown →

9.

Luan, Yi, Mari Ostendorf, & Hannaneh Hajishirzi. (2018). The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings. 788–792. 5 indexed citations

10.

Luan, Yi, Chris Brockett, Bill Dolan, Jianfeng Gao, & Michel Galley. (2017). Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models. International Joint Conference on Natural Language Processing. 1. 605–614. 11 indexed citations

11.

Luan, Yi, Yangfeng Ji, Hannaneh Hajishirzi, & Boyang Li. (2016). Multiplicative Representations for Unsupervised Semantic Role Induction. 118–123. 10 indexed citations

12.

Luan, Yi, Shinji Watanabe, & Bret Harsham. (2015). Efficient learning for spoken language understanding tasks with word embedding based pre-training. 1398–1402. 10 indexed citations

13.

Harsham, Bret, Shinji Watanabe, Alan Esenther, et al.. (2015). Driver prediction to improve interaction with in-vehicle HMI. 1–8. 4 indexed citations

14.

Luan, Yi, et al.. (2014). Semi-supervised noise dictionary adaptation for exemplar-based noise robust speech recognition. 1745–1748. 9 indexed citations

15.

Luan, Yi, Richard Wright, Mari Ostendorf, & Gina‐Anne Levow. (2014). Relating automatic vowel space estimates to talker intelligibility. 2238–2242. 3 indexed citations

16.

Levow, Gina‐Anne, Valerie Freeman, Mari Ostendorf, et al.. (2014). Recognition of stance strength and polarity in spontaneous speech. 236–241. 9 indexed citations

17.

Freeman, Valerie, Richard Wright, Gina‐Anne Levow, et al.. (2014). Phonetic correlates of stance-taking. The Journal of the Acoustical Society of America. 136(4_Supplement). 2175–2175. 2 indexed citations

18.

Freeman, Valerie, Julian Chan, Gina‐Anne Levow, et al.. (2014). ATAROS Technical Report 1: Corpus collection and initial task validation. 1 indexed citations

19.

Luan, Yi, et al.. (2012). Performance improvement of automatic pronunciation assessment in a noisy classroom. 428–431. 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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