Chenyang Lyu

653 total citations
26 papers, 291 citations indexed

About

Chenyang Lyu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chenyang Lyu has authored 26 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Chenyang Lyu's work include Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (6 papers). Chenyang Lyu is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (6 papers). Chenyang Lyu collaborates with scholars based in China, Ireland and United States. Chenyang Lyu's co-authors include Raheem Beyah, Shouling Ji, Zhaopeng Tu, Longyue Wang, Shuming Shi, Zhirui Zhang, Dian Yu, Wei‐Han Lee, Yu Song and Chao Zhang and has published in prestigious journals such as International Journal of Environmental Research and Public Health, IEEE Transactions on Cybernetics and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Chenyang Lyu

22 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenyang Lyu China 8 162 96 94 88 43 26 291
Timofey Bryksin Russia 10 87 0.5× 138 1.4× 209 2.2× 62 0.7× 55 1.3× 43 312
Hong Jin Kang Singapore 13 151 0.9× 135 1.4× 237 2.5× 99 1.1× 75 1.7× 26 372
Junda He Singapore 8 131 0.8× 64 0.7× 121 1.3× 51 0.6× 39 0.9× 20 227
Chenyuan Yang United States 6 124 0.8× 169 1.8× 120 1.3× 64 0.7× 43 1.0× 9 295
Xingen Wang China 11 169 1.0× 69 0.7× 115 1.2× 39 0.4× 68 1.6× 19 309
Yaowen Zheng China 10 132 0.8× 108 1.1× 119 1.3× 201 2.3× 123 2.9× 24 333
Ting Dai United States 10 148 0.9× 56 0.6× 99 1.1× 51 0.6× 115 2.7× 25 295
Konstantin Böttinger Germany 8 188 1.2× 46 0.5× 166 1.8× 221 2.5× 79 1.8× 23 406
Aditya Kanade India 7 128 0.8× 275 2.9× 336 3.6× 124 1.4× 97 2.3× 12 454

Countries citing papers authored by Chenyang Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Chenyang Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyang Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenyang Lyu. A scholar is included among the top collaborators of Chenyang Lyu 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 Chenyang Lyu. Chenyang Lyu 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
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Wang, Longyue, Chenyang Lyu, Wenxiang Jiao, et al.. (2024). Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation. 699–700. 1 indexed citations
4.
Wang, Longyue, Wenxiang Jiao, Chenyang Lyu, et al.. (2024). Benchmarking and Improving Long-Text Translation with Large Language Models. 7175–7187. 2 indexed citations
5.
Ji, Shouling, Yuan Tian, Xuhong Zhang, et al.. (2024). SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices. 2310–2387. 2 indexed citations
6.
Zhao, Binbin, Shouling Ji, Yuan Tian, et al.. (2023). One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware. IEEE Transactions on Dependable and Secure Computing. 21(3). 1372–1389. 2 indexed citations
7.
Lyu, Chenyang, et al.. (2023). Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering. Dublin City University Open Access Institutional Repository (Dublin City University). 183–189.
8.
Lyu, Chenyang, Linyi Yang, Yue Zhang, Yvette Graham, & Jennifer Foster. (2023). Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. Dublin City University Open Access Institutional Repository (Dublin City University). 1419–1429. 2 indexed citations
9.
Lyu, Chenyang, et al.. (2023). Semantic-Aware Dynamic Retrospective-Prospective Reasoning for Event-Level Video Question Answering. Dublin City University Open Access Institutional Repository (Dublin City University). 50–56. 1 indexed citations
10.
Wang, Longyue, Chenyang Lyu, Zhirui Zhang, et al.. (2023). Document-Level Machine Translation with Large Language Models. 16646–16661. 72 indexed citations
11.
Wang, Longyue, Zhaopeng Tu, Yan Gu, et al.. (2023). Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs. 55–67. 3 indexed citations
12.
Yang, Linyi, Chenyang Lyu, Yidong Wang, et al.. (2023). Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. 4533–4559. 3 indexed citations
13.
Lyu, Chenyang, et al.. (2022). MLLabs-LIG at TempoWiC 2022: A Generative Approach for Examining Temporal Meaning Shift. 1–6. 1 indexed citations
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Zhao, Binbin, Shouling Ji, Yuan Tian, et al.. (2022). A large-scale empirical analysis of the vulnerabilities introduced by third-party components in IoT firmware. 442–454. 27 indexed citations
16.
Zhou, Liting, et al.. (2022). IvCDS: An End-to-End Driver Simulator for Personal In-Vehicle Conversational Assistant. International Journal of Environmental Research and Public Health. 19(23). 15493–15493.
17.
Lyu, Chenyang, et al.. (2022). QAScore—An Unsupervised Unreferenced Metric for the Question Generation Evaluation. Entropy. 24(11). 1514–1514. 8 indexed citations
18.
Lyu, Chenyang, Lifeng Shang, Yvette Graham, et al.. (2021). Improving Unsupervised Question Answering via Summarization-Informed Question Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4134–4148. 27 indexed citations
19.
Ji, Shouling, Chenyang Lyu, Yuan Chen, et al.. (2020). V-Fuzz: Vulnerability Prediction-Assisted Evolutionary Fuzzing for Binary Programs. IEEE Transactions on Cybernetics. 52(5). 3745–3756. 37 indexed citations
20.
Lyu, Chenyang, Shouling Ji, Chao Zhang, et al.. (2019). {MOPT}: Optimized Mutation Scheduling for Fuzzers. 1949–1966. 66 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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