Suyang Dai

837 total citations
7 papers, 119 citations indexed

About

Suyang Dai is a scholar working on Artificial Intelligence, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Suyang Dai has authored 7 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Suyang Dai's work include Advanced Text Analysis Techniques (4 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Suyang Dai is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Suyang Dai collaborates with scholars based in China, Australia and Finland. Suyang Dai's co-authors include Shanfeng Zhu, Hiroshi Mamitsuka, Ronghui You, Zihan Zhang, Ziye Wang, Xiaodi Huang, Zhiyong Lu, Minghui Qiu, Wei Zhou and Fei Yang and has published in prestigious journals such as Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Suyang Dai

7 papers receiving 114 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suyang Dai China	5	103	21	20	8	4	7	119
Julian Mendez Germany	6	63 0.6×	26 1.2×	32 1.6×	3 0.4×	6 1.5×	14	87
Dejian Yang China	4	98 1.0×	15 0.7×	20 1.0×	8 1.0×	1 0.3×	5	105
Behrang QasemiZadeh Germany	7	129 1.3×	33 1.6×	17 0.8×	8 1.0×		25	135
René Arnulfo García-Hernández Mexico	8	170 1.7×	11 0.5×	31 1.6×	8 1.0×	2 0.5×	21	187
Nasredine Semmar France	8	173 1.7×	21 1.0×	23 1.1×	15 1.9×	1 0.3×	34	192
Aohan Zeng China	4	49 0.5×	15 0.7×	9 0.5×	14 1.8×	2 0.5×	6	76
Matan Eyal Israel	5	85 0.8×	16 0.8×	6 0.3×	13 1.6×	2 0.5×	9	101
Mikael Kågebäck Sweden	5	134 1.3×	8 0.4×	14 0.7×	10 1.3×	2 0.5×	6	149
Brigitte Grau France	6	98 1.0×	38 1.8×	22 1.1×	7 0.9×		29	111
Eric Xue United States	3	70 0.7×	10 0.5×	19 0.9×	13 1.6×		4	98

Countries citing papers authored by Suyang Dai

Since Specialization

Citations

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

Fields of papers citing papers by Suyang Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyang Dai

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

7 of 7 papers shown

1.

Wang, Chengyu, Suyang Dai, Yipeng Wang, et al.. (2022). ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 1207–1218. 12 indexed citations

2.

Dai, Suyang, et al.. (2021). Human-to-Human Conversation Dataset for Learning Fine-Grained Turn-Taking Action. 3231–3235. 2 indexed citations

3.

Dai, Suyang, Ronghui You, Zhiyong Lu, et al.. (2019). FullMeSH: improving large-scale MeSH indexing with full text. Bioinformatics. 36(5). 1533–1541. 25 indexed citations

4.

Dai, Suyang, et al.. (2019). GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 205–215. 15 indexed citations

5.

You, Ronghui, Suyang Dai, Zihan Zhang, Hiroshi Mamitsuka, & Shanfeng Zhu. (2018). AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks.. arXiv (Cornell University). 19 indexed citations

6.

Dai, Suyang, et al.. (2018). GrantExtractor: A Winning System for Extracting Grant Support Information from Biomedical Literature. 3. 333–340. 1 indexed citations

7.

You, Ronghui, Zihan Zhang, Ziye Wang, et al.. (2018). AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification. arXiv (Cornell University). 32. 5812–5822. 45 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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