Yinghui Liu

1.6k total citations · 1 hit paper
28 papers, 761 citations indexed

About

Yinghui Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Yinghui Liu has authored 28 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Epidemiology. Recurrent topics in Yinghui Liu's work include Wireless Signal Modulation Classification (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Advanced Image Fusion Techniques (2 papers). Yinghui Liu is often cited by papers focused on Wireless Signal Modulation Classification (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Advanced Image Fusion Techniques (2 papers). Yinghui Liu collaborates with scholars based in China, United States and United Kingdom. Yinghui Liu's co-authors include Weiguo Dong, Jixiang Zhang, Ming Xu, Jiao Li, Qiutang Xiong, Yu Xu, David A. McCormick, María V. Sánchez-Vives, Xiao‐Jing Wang and Pengzhan He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Yinghui Liu

23 papers receiving 749 citations

Hit Papers

Clinical sequelae of COVID-19 survivors in Wuhan, China: ... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinghui Liu China 7 392 237 203 107 102 28 761
Bernd Taschler United Kingdom 9 679 1.7× 242 1.0× 230 1.1× 185 1.7× 84 0.8× 13 1.1k
Shashank Agarwal United States 17 355 0.9× 46 0.2× 107 0.5× 34 0.3× 78 0.8× 67 950
Vikas Pareek India 13 243 0.6× 42 0.2× 237 1.2× 25 0.2× 18 0.2× 40 754
Yingying Zhang China 13 220 0.6× 59 0.2× 217 1.1× 14 0.1× 54 0.5× 41 629
Xinghu Zhang China 19 444 1.1× 20 0.1× 56 0.3× 8 0.1× 111 1.1× 109 1.2k
G Lemaître France 13 132 0.3× 64 0.3× 82 0.4× 22 0.2× 65 0.6× 49 955
R. Nick Bryan United States 13 56 0.1× 21 0.1× 44 0.2× 11 0.1× 116 1.1× 18 979
Jon Anderson United Kingdom 25 47 0.1× 58 0.2× 32 0.2× 20 0.2× 987 9.7× 70 2.0k
Mitchell Chen United Kingdom 17 76 0.2× 10 0.0× 35 0.2× 41 0.4× 41 0.4× 37 843
Oh‐Young Kwon South Korea 17 156 0.4× 42 0.2× 16 0.1× 5 0.0× 75 0.7× 91 935

Countries citing papers authored by Yinghui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yinghui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yinghui Liu. A scholar is included among the top collaborators of Yinghui Liu 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 Yinghui Liu. Yinghui Liu 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.
Xing, Limin, Yushan Li, Jiaxin Zhang, et al.. (2025). Multiomics-based analysis of key genes, metabolites and pathways unveils mechanism associated with social rank in Chickens. Poultry Science. 104(7). 105192–105192.
2.
Liu, Yinghui, et al.. (2025). Zero-Shot Day–Night Domain Adaptation for Face Detection Based on DAl-CLIP-Dino. Electronics. 14(1). 143–143.
3.
Ma, Jingjing, Chen Chen, Nian Wang, et al.. (2025). Identification of Senescence-Related Genes for the Prediction of Ulcerative Colitis Based on Interpretable Machine Learning Models. Journal of Inflammation Research. Volume 18. 3431–3447. 1 indexed citations
4.
Liu, Yinghui, et al.. (2025). Spatial homogeneity-aware transfer learning for urban flow prediction. Knowledge and Information Systems. 67(5). 4349–4371.
5.
Chen, Ying, et al.. (2024). Identification of Mitophagy-Associated Genes for the Prediction of Metabolic Dysfunction-Associated Steatohepatitis Based on Interpretable Machine Learning Models. Journal of Inflammation Research. Volume 17. 2711–2730. 3 indexed citations
6.
Liu, Yinghui, et al.. (2024). Exploring the butyrate metabolism-related shared genes in metabolic associated steatohepatitis and ulcerative colitis. Scientific Reports. 14(1). 15949–15949. 4 indexed citations
7.
Liao, Fei, et al.. (2023). Comprehensive analysis of endoplasmic reticulum stress-associated genes signature of ulcerative colitis. Frontiers in Immunology. 14. 1158648–1158648. 24 indexed citations
8.
Liu, Yinghui & Li Gao. (2023). Design and Research of Personalized News Recommendation System Based on LSTM Algorithm. 204–210. 1 indexed citations
9.
Li, Jie, Xin Li, John Hutchinson, et al.. (2022). An ensemble prediction model for COVID-19 mortality risk. Biology Methods and Protocols. 7(1). bpac029–bpac029.
11.
Zhang, Taolin, Junwei Dong, Jianing Wang, et al.. (2022). Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. 560–570. 3 indexed citations
12.
Xiong, Qiutang, Ming Xu, Jiao Li, et al.. (2020). Clinical sequelae of COVID-19 survivors in Wuhan, China: a single-centre longitudinal study. Clinical Microbiology and Infection. 27(1). 89–95. 470 indexed citations breakdown →
13.
Liu, Yinghui, et al.. (2020). Specific Emitter Identification Against Unreliable Features Interference Based on Time-Series Classification Network Structure. IEEE Access. 8. 200194–200208. 16 indexed citations
14.
Liu, Yinghui. (2012). Spatio-temporal Pyramid Matching Using Sparse Coding for Action Recognition. Journal of Chinese Computer Systems. 1 indexed citations
15.
Li, Ying, et al.. (2010). Performance evaluation of multfrc transport protocol used in streaming media application. 8. 762–766. 1 indexed citations
16.
Liu, Yinghui, et al.. (2010). An improved trilateral filter for Gaussian and impulse noise removal. 385–388. 6 indexed citations
17.
Liu, Yinghui, et al.. (2009). A universal denoising algorithm with trilateral filter and impulse detector. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7513. 75132C–75132C. 3 indexed citations
18.
Zhu, Zhaohai, О. П. Красных, Dahua Pan, et al.. (2008). Structure-activity relationships of macrolides against Mycobacterium tuberculosis. Tuberculosis. 88. S49–S63. 17 indexed citations
19.
Wang, Xiao‐Jing, Yinghui Liu, María V. Sánchez-Vives, & David A. McCormick. (2003). Adaptation and Temporal Decorrelation by Single Neurons in the Primary Visual Cortex. Journal of Neurophysiology. 89(6). 3279–3293. 107 indexed citations
20.
Lu, Ruqian, et al.. (1989). Computer-aided grammar acquisition in the Chinese understanding system CUSAGA. International Joint Conference on Artificial Intelligence. 1550–1555. 1 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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