Yongyi Mao

3.6k total citations · 1 hit paper
127 papers, 2.1k citations indexed

About

Yongyi Mao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Yongyi Mao has authored 127 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Artificial Intelligence, 33 papers in Computer Networks and Communications and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Yongyi Mao's work include Topic Modeling (42 papers), Natural Language Processing Techniques (21 papers) and Error Correcting Code Techniques (20 papers). Yongyi Mao is often cited by papers focused on Topic Modeling (42 papers), Natural Language Processing Techniques (21 papers) and Error Correcting Code Techniques (20 papers). Yongyi Mao collaborates with scholars based in Canada, China and United Kingdom. Yongyi Mao's co-authors include Richong Zhang, Jeff Castura, Samuel Mensah, Amir H. Banihashemi, Kai Sun, Xudong Liu, Hongyu Guo, Eric J. Foss, Tim Hamilton and Andrew Emili and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Access.

In The Last Decade

Yongyi Mao

116 papers receiving 2.0k 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.

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree

2019 276 citations Kai Sun, Richong Zhang et al. profile →

Peers

Yongyi Mao

AI

CNC

EEE

MB

CVPR

Hyojoon Kim United States

Guoliang Chen China

Shankar Vembu United States

Ming‐Yang Kao United States

Junwei Zhang China

Patric R. J. Östergård Finland

Stjepan Picek Netherlands

Mike Loukides United States

Cliff Young United States

Roger D. Chamberlain United States

Hyojoon Kim United States

Yongyi Mao

303 ×0.3

AI

1.4k ×2.1

CNC

482 ×0.8

EEE

121 ×0.3

MB

67 ×0.3

CVPR

Citations per year, relative to Yongyi Mao Yongyi Mao (= 1×) peers Hyojoon Kim

Countries citing papers authored by Yongyi Mao

Since Specialization

Citations

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

Fields of papers citing papers by Yongyi Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongyi Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yongyi Mao. A scholar is included among the top collaborators of Yongyi Mao 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 Yongyi Mao. Yongyi Mao 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

1.

Liu, Xiyang, et al.. (2024). Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. 4283–4294. 4 indexed citations

2.

Zhang, Richong, et al.. (2023). Word Sense Disambiguation by Refining Target Word Embedding. 1405–1414. 2 indexed citations

3.

Zhang, Richong, et al.. (2023). Anaphor Assisted Document-Level Relation Extraction. 15453–15464. 3 indexed citations

4.

Chen, Keqin, Richong Zhang, S. Y. Mensah, & Yongyi Mao. (2022). Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. 8549–8559. 1 indexed citations

5.

Zhang, Richong, et al.. (2022). DropMix: A Textual Data Augmentation Combining Dropout with Mixup. 890–899. 1 indexed citations

6.

Zhang, Richong, et al.. (2022). Text Style Transferring via Adversarial Masking and Styled Filling. 7654–7663. 1 indexed citations

7.

Chen, Junfan, Richong Zhang, Yongyi Mao, & Jie Xu. (2020). Neural Dialogue State Tracking with Temporally Expressive Networks. 1570–1579. 3 indexed citations

8.

Mao, Yongyi, et al.. (2020). Learning VAE-LDA Models with Rounded Reparameterization Trick. 1315–1325. 9 indexed citations

9.

Sun, Kai, Richong Zhang, Samuel Mensah, Yongyi Mao, & Xudong Liu. (2019). Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. 5678–5687. 276 indexed citations breakdown →

10.

Wang, Yue, Richong Zhang, Xu Cheng, & Yongyi Mao. (2018). The APVA-TURBO Approach To Question Answering in Knowledge Base. International Conference on Computational Linguistics. 1998–2009. 12 indexed citations

11.

Zhang, Richong, et al.. (2018). Syntax Encoding with Application in Authorship Attribution. NPARC. 2742–2753. 28 indexed citations

12.

Li, Chun’e, Yongyi Mao, Richong Zhang, & Jinpeng Huai. (2016). On hyper-parameter estimation in empirical Bayes: a revisit of the MacKay algorithm. Uncertainty in Artificial Intelligence. 477–486. 1 indexed citations

13.

Wen, Jianfeng, et al.. (2016). On the representation and embedding of knowledge bases beyond binary relations. arXiv (Cornell University). 1300–1307. 6 indexed citations

14.

Zhao, Xiaoqing & Yongyi Mao. (2016). Improved DV-Hop algorithm based on error weighting and distance correction. 52(18). 121. 4 indexed citations

15.

Mao, Yongyi. (2012). Improved algorithm of wireless sensor network node localization. Journal of Computer Applications. 1 indexed citations

16.

Mao, Yongyi, Mingyuan Li, & Baojun Zhang. (2009). A TOA/ AOA Location Algorithm in NLOS Environment. 电子与信息学报. 31(1). 37–40. 4 indexed citations

17.

Mao, Yongyi. (2009). Taylor-series expansion location algorithm based on RBF neural network. Computer Engineering and Applications Journal.

18.

Mao, Yongyi, et al.. (2006). Study on the Ambiguity and Non-Solution of 4-Station TDOA Space Location Systems. Telecommunication Engineering. 2 indexed citations

19.

Castura, Jeff, et al.. (2006). Reduced-Complexity Decoding of Raptor Codes over Fading Channels. Global Communications Conference. 4586–4590. 10 indexed citations

20.

Mao, Yongyi, Frank R. Kschischang, & Brendan J. Frey. (2004). Convolutional factor graphs as probabilistic models. Uncertainty in Artificial Intelligence. 374–381. 9 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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