Guanglai Gao

1.5k total citations
109 papers, 715 citations indexed

About

Guanglai Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Guanglai Gao has authored 109 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 28 papers in Signal Processing. Recurrent topics in Guanglai Gao's work include Natural Language Processing Techniques (36 papers), Speech Recognition and Synthesis (35 papers) and Topic Modeling (25 papers). Guanglai Gao is often cited by papers focused on Natural Language Processing Techniques (36 papers), Speech Recognition and Synthesis (35 papers) and Topic Modeling (25 papers). Guanglai Gao collaborates with scholars based in China, Singapore and Mongolia. Guanglai Gao's co-authors include Rui Liu, Feilong Bao, Haizhou Li, Berrak Şişman, Xueliang Zhang, Hui Zhang, Xiangdong Su, Hui Zhang, Weihua Wang and Shuai Nie and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

Guanglai Gao

99 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanglai Gao China 13 468 275 233 47 40 109 715
G. Kopec United States 14 328 0.7× 376 1.4× 237 1.0× 43 0.9× 33 0.8× 46 694
Hayato Kobayashi Japan 12 257 0.5× 105 0.4× 166 0.7× 56 1.2× 13 0.3× 31 445
Mohammad Mehdi Homayounpour Iran 12 353 0.8× 73 0.3× 271 1.2× 32 0.7× 26 0.7× 79 532
Thomas Fang Zheng China 16 813 1.7× 97 0.4× 608 2.6× 33 0.7× 63 1.6× 102 972
Ramón Fernández Astudillo Portugal 15 622 1.3× 91 0.3× 269 1.2× 40 0.9× 14 0.3× 55 721
Xu Tan China 23 914 2.0× 400 1.5× 398 1.7× 11 0.2× 34 0.8× 61 1.1k
Björn Hoffmeister Germany 18 715 1.5× 82 0.3× 489 2.1× 45 1.0× 37 0.9× 38 850
Jonathan G. Fiscus United States 13 765 1.6× 205 0.7× 655 2.8× 102 2.2× 86 2.1× 33 1.1k
John Kominek United States 12 711 1.5× 139 0.5× 545 2.3× 35 0.7× 112 2.8× 29 862
Slim Essid France 15 178 0.4× 377 1.4× 534 2.3× 40 0.9× 11 0.3× 55 719

Countries citing papers authored by Guanglai Gao

Since Specialization
Citations

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

Fields of papers citing papers by Guanglai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglai Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglai Gao. A scholar is included among the top collaborators of Guanglai 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 Guanglai Gao. Guanglai Gao 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.
Wang, Weihua, et al.. (2025). Local and global structure-aware contrastive framework for entity alignment. Neurocomputing. 624. 129445–129445.
2.
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Su, Xiangdong, et al.. (2023). TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline. 9 indexed citations
5.
Bao, Feilong, et al.. (2023). The image and ground truth dataset of Mongolian movable-type newspapers for text recognition. International Journal on Document Analysis and Recognition (IJDAR). 27(2). 113–125. 1 indexed citations
6.
Liu, Rui, et al.. (2023). Explicit Intensity Control for Accented Text-to-speech. 22–26. 3 indexed citations
7.
Su, Xiangdong, et al.. (2023). How Well Apply Simple MLP to Incomplete Utterance Rewriting?. 1567–1576.
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9.
Liu, Na, Xiangdong Su, Haoran Zhang, Guanglai Gao, & Feilong Bao. (2020). Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation. 4638–4648. 1 indexed citations
10.
Zhang, Xueliang, et al.. (2020). Robust Speech Dereverberation Based on WPE and Deep Learning. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 52–56. 1 indexed citations
11.
Liu, Rui, Feilong Bao, Guanglai Gao, Hui Zhang, & Yonghe Wang. (2018). A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction. International Conference on Computational Linguistics. 2448–2455. 2 indexed citations
12.
Gao, Guanglai, et al.. (2017). Visual language model for keyword spotting on historical mongolian document images. 1737–1742. 5 indexed citations
13.
Wang, Weihua, Feilong Bao, & Guanglai Gao. (2016). Mongolian Named Entity Recognition System with Rich Features. International Conference on Computational Linguistics. 505–512. 4 indexed citations
14.
Zhang, Xueliang, Hui Zhang, & Guanglai Gao. (2014). Missing feature reconstruction methods for robust speaker identification. 1482–1486. 2 indexed citations
15.
Bao, Feilong, et al.. (2013). Segmentation-based Mongolian LVCSR approach. 8136–8139. 10 indexed citations
16.
Bao, Feilong & Guanglai Gao. (2009). Improving of Acoustic Model for the Mongolian Speech Recognition System. 1–5. 4 indexed citations
17.
Yan, Tao & Guanglai Gao. (2008). Research on the Methods of Chinese Text Classification using Bayes and Language Model. 1–6. 4 indexed citations
18.
Gao, Guanglai. (2007). A Skew Detection Method of Mongolian Document Images. 1 indexed citations
19.
Gao, Guanglai. (2007). A Method of Layout Analysis for Mongolian Document Images Based on Connected Components. 1 indexed citations
20.
Gao, Guanglai. (2006). Feature Selection of Mongolian Characters in the Recognition of Printed Mongolian Characters.

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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