Ying Yu

1.5k total citations · 2 hit papers
68 papers, 977 citations indexed

About

Ying Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ying Yu has authored 68 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Theory and Mathematics. Recurrent topics in Ying Yu's work include Rough Sets and Fuzzy Logic (13 papers), Text and Document Classification Technologies (13 papers) and Machine Learning in Healthcare (11 papers). Ying Yu is often cited by papers focused on Rough Sets and Fuzzy Logic (13 papers), Text and Document Classification Technologies (13 papers) and Machine Learning in Healthcare (11 papers). Ying Yu collaborates with scholars based in China, Canada and United States. Ying Yu's co-authors include Duoqian Miao, Min Li, Witold Pedrycz, Jianxin Wang, Jin Qian, Zhihui Fei, Yaohang Li, Liangliang Liu, Fang‐Xiang Wu and Min Zeng and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Applied Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

Ying Yu

62 papers receiving 959 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.

Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets

2024 69 citations Ying Yu, Jin Qian et al. International Journal of Approximate Reasoning profile →
CrowdFPN: crowd counting via scale-enhanced and location-aware feature pyramid network

2025 24 citations Ying Yu, Enhong Chen et al. Applied Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Yu China	16	454	203	153	152	123	68	977
Chunkai Zhang China	20	589 1.3×	360 1.8×	154 1.0×	77 0.5×	200 1.6×	73	1.4k
Kun‐Huang Chen Taiwan	17	264 0.6×	133 0.7×	42 0.3×	173 1.1×	25 0.2×	77	914
Hanen Karamti Saudi Arabia	18	183 0.4×	94 0.5×	90 0.6×	27 0.2×	62 0.5×	93	916
Seokho Kang South Korea	24	410 0.9×	159 0.8×	341 2.2×	268 1.8×	40 0.3×	84	1.6k
Brent Komer Canada	5	304 0.7×	80 0.4×	90 0.6×	80 0.5×	42 0.3×	7	862
Hao Peng China	18	574 1.3×	127 0.6×	54 0.4×	92 0.6×	358 2.9×	140	1.2k
Jianyu Miao China	12	391 0.9×	269 1.3×	35 0.2×	69 0.5×	43 0.3×	41	841
Donghui Wu China	15	892 2.0×	322 1.6×	58 0.4×	101 0.7×	625 5.1×	57	1.8k
Daqing Chen China	19	287 0.6×	227 1.1×	68 0.4×	73 0.5×	98 0.8×	86	1.2k

Countries citing papers authored by Ying Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ying Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yu

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

Liu, Yongbin, et al.. (2025). DyLas: A dynamic label alignment strategy for large-scale multi-label text classification. Information Fusion. 120. 103081–103081. 9 indexed citations

Wang, Yixuan, Ying Yu, & Asif Khan. (2025). Digital sustainability: Dimension exploration and scale development. Acta Psychologica. 256. 105028–105028. 3 indexed citations

Yu, Ying, et al.. (2025). Structural feature enhanced transformer for fine-grained image recognition. Pattern Recognition. 169. 111955–111955.

Cho, Eun Bee, et al.. (2025). Suzetrigine for moderate to severe acute pain. Trends in Pharmacological Sciences. 46(5). 480–481. 4 indexed citations

Qian, Jin, et al.. (2024). A dynamic anonymization privacy-preserving model based on hierarchical sequential three-way decisions. Information Sciences. 686. 121316–121316. 3 indexed citations

Yu, Ying, et al.. (2024). Nonlinear dynamic collapse analysis of space semi-rigid frames using finite particle method. Journal of Constructional Steel Research. 216. 108607–108607. 1 indexed citations

Qian, Jin, et al.. (2024). Hierarchical Sequential Three-Way Multiattribute Decision-Making Method Based on Regret Theory in Multiscale Fuzzy Decision Systems. IEEE Transactions on Fuzzy Systems. 32(9). 4961–4975. 4 indexed citations

Chen, Ming, et al.. (2024). Transfer Learning for Bearing Fault Diagnosis based on Graph Neural Network with Dilated KNN and Adversarial Discriminative Domain Adaptation. Measurement Science and Technology. 35(6). 65106–65106. 13 indexed citations

Yu, Ying, et al.. (2024). Fuzzy information gain ratio-based multi-label feature selection with label correlation. International Journal of Machine Learning and Cybernetics. 15(7). 2737–2747. 6 indexed citations

10.

Qian, Jin, et al.. (2023). A TOPSIS method based on sequential three-way decision. Applied Intelligence. 53(24). 30661–30676. 7 indexed citations

11.

Qian, Jin, et al.. (2023). Multi-level personalized k-anonymity privacy-preserving model based on sequential three-way decisions. Expert Systems with Applications. 239. 122343–122343. 15 indexed citations

12.

Qian, Jin, et al.. (2023). Research on multi-granularity sequential three-way decisions based on the fuzzy T-equivalence relation. Applied Soft Computing. 149. 110980–110980. 5 indexed citations

13.

Li, Ye, et al.. (2023). SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information. Computational Biology and Chemistry. 105. 107905–107905. 12 indexed citations

14.

Qian, Jin, et al.. (2023). VIKOR decision making method based on multi-granularity hesitant fuzzy linguistic term sets. 297–302.

15.

Yu, Ying & Jinghui Wang. (2023). Hybrid Granularities Transformer for Fine-Grained Image Recognition. Entropy. 25(4). 601–601. 5 indexed citations

16.

Yu, Ying, et al.. (2022). Comparison of the efficacy and safety of sacral root magnetic stimulation with transcutaneous posterior tibial nerve stimulation in the treatment of neurogenic detrusor overactivity: an exploratory randomized controlled trial. Translational Andrology and Urology. 11(6). 821–831. 9 indexed citations

17.

Wu, Yifan, et al.. (2021). A Hybrid Pooling Based Deep Learning Framework For Automated ICD Coding. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 823–828. 2 indexed citations

18.

Yu, Ying, Min Li, Liangliang Liu, et al.. (2019). Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. Journal of Biomedical Informatics. 91. 103114–103114. 49 indexed citations

19.

Liu, Liangliang, Ying Yu, Zhihui Fei, et al.. (2018). An interpretable boosting model to predict side effects of analgesics for osteoarthritis. BMC Systems Biology. 12(S6). 105–105. 40 indexed citations

20.

Yu, Ying, Witold Pedrycz, & Duoqian Miao. (2013). Neighborhood rough sets based multi-label classification for automatic image annotation. International Journal of Approximate Reasoning. 54(9). 1373–1387. 64 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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