Hui Yu

2.0k total citations
83 papers, 1.4k citations indexed

About

Hui Yu is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Hui Yu has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 18 papers in Molecular Biology and 15 papers in Artificial Intelligence. Recurrent topics in Hui Yu's work include Computational Drug Discovery Methods (17 papers), Advanced Semiconductor Detectors and Materials (7 papers) and Bioinformatics and Genomic Networks (7 papers). Hui Yu is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Advanced Semiconductor Detectors and Materials (7 papers) and Bioinformatics and Genomic Networks (7 papers). Hui Yu collaborates with scholars based in China, United Kingdom and Hong Kong. Hui Yu's co-authors include Jian‐Yu Shi, Zun Liu, Yongjun Li, JingTao Yao, Siu‐Ming Yiu, Wanqi Jie, Yadong Xu, Binbin Zhang, Jiangpeng Dong and Xin Liu and has published in prestigious journals such as Bioinformatics, Materials Science and Engineering A and Expert Systems with Applications.

In The Last Decade

Hui Yu

73 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hui Yu China	18	609	448	368	296	258	83	1.4k
David Duvenaud Canada	18	868 1.4×	583 1.3×	754 2.0×	92 0.3×	652 2.5×	41	2.1k
Steven Kearnes United States	8	1.1k 1.8×	723 1.6×	1.2k 3.2×	99 0.3×	224 0.9×	17	1.8k
Wei Pan China	18	79 0.1×	129 0.3×	479 1.3×	251 0.8×	182 0.7×	91	1.3k
Abhinav Vishnu United States	19	294 0.5×	203 0.5×	302 0.8×	275 0.9×	202 0.8×	71	1.9k
Xiaoming Sun China	18	135 0.2×	117 0.3×	129 0.4×	74 0.3×	451 1.7×	140	1.2k
Chuang Liu China	17	515 0.8×	578 1.3×	255 0.7×	45 0.2×	151 0.6×	35	1.2k
Zhen Li China	24	446 0.7×	516 1.2×	238 0.6×	73 0.2×	312 1.2×	109	1.9k
Xudong Chen United States	18	171 0.3×	335 0.7×	55 0.1×	128 0.4×	95 0.4×	91	1.3k
Kevin McCloskey United States	7	758 1.2×	558 1.2×	658 1.8×	38 0.1×	189 0.7×	13	1.2k
Marwin Segler United Kingdom	14	2.0k 3.2×	1.3k 2.9×	1.9k 5.1×	133 0.4×	295 1.1×	21	3.2k

Countries citing papers authored by Hui Yu

Since Specialization

Citations

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

Fields of papers citing papers by Hui Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Yu

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

Li, Xin, Yanhua Zhou, Dexiang Mei, & Hui Yu. (2025). Retailers' risk attitudes and the value of cooperation in supply chain finance under investment-loan linkage financing. International Review of Financial Analysis. 102. 104085–104085. 3 indexed citations

Ju, Yakun, Yuying Zhao, Jun Xiao, et al.. (2025). Photometric Regularization for 3D Gaussian Splatting in Multi-View Surface Projection. IEEE Journal of Selected Topics in Signal Processing. 19(8). 1682–1693.

Tao, Xiujuan, Zixuan Zheng, Hui Yu, et al.. (2024). Internal blocking and bonding to strengthen the mechanical properties and prevent collapse and leakage of fragmented coalbed methane (CBM) reservoirs by cohesive drilling fluids. Geoenergy Science and Engineering. 241. 213136–213136. 7 indexed citations

Yu, Hui, et al.. (2024). Multi-view clustering with semantic fusion and contrastive learning. Neurocomputing. 603. 128264–128264. 4 indexed citations

Huang, He, Hui Yu, O. Kulyasova, et al.. (2024). Nanostructuring of Zn–Li-based alloys through severe plastic deformation: Microstructure, mechanical properties, and corrosion behaviors. Nano Materials Science. 7(5). 697–710. 3 indexed citations

Yu, Hui, Wenxin Xu, Tan Tian Swee, Zun Liu, & Jian‐Yu Shi. (2024). Prediction of drug–target binding affinity based on multi-scale feature fusion. Computers in Biology and Medicine. 178. 108699–108699. 4 indexed citations

Yu, Hui, Jing Wang, Chao Song, & Jian‐Yu Shi. (2024). Identifying the reaction centers of molecule based on dual-view representation. Knowledge-Based Systems. 292. 111606–111606. 1 indexed citations

Yu, Hui, Jing Wang, Shiyu Zhao, et al.. (2023). GGI-DDI: Identification for key molecular substructures by granule learning to interpret predicted drug–drug interactions. Expert Systems with Applications. 240. 122500–122500. 9 indexed citations

Guo, Jielong, Meijun Liu, Peng Luo, et al.. (2023). Attention-based BILSTM for the degradation trend prediction of lithium battery. Energy Reports. 9. 655–664. 12 indexed citations

10.

Yu, Hui, et al.. (2022). DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(3). 1854–1863. 15 indexed citations

11.

Zhao, Pengcheng, et al.. (2022). MLGL-MP: a Multi-Label Graph Learning framework enhanced by pathway interdependence for Metabolic Pathway prediction. Bioinformatics. 38(Supplement_1). i325–i332. 15 indexed citations

12.

Yu, Hui, et al.. (2022). Directed graph attention networks for predicting asymmetric drug–drug interactions. Briefings in Bioinformatics. 23(3). 23 indexed citations

13.

Xu, Yi, et al.. (2022). NNAN: Nearest Neighbor Attention Network to Predict Drug–Microbe Associations. Frontiers in Microbiology. 13. 846915–846915. 8 indexed citations

14.

Shi, Jian‐Yu, et al.. (2019). Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization. Journal of Cheminformatics. 11(1). 28–28. 55 indexed citations

15.

Yu, Hui. (2013). PM_(2.5) removal—advances in wet collection technologies and a novel approach through temperature swing multi-phase flow. Huagong xuebao. 2 indexed citations

16.

Yu, Hui & Xueping Zhen. (2012). Two-stage online distribution strategy of emergency material. Systems Engineering - Theory & Practice. 3 indexed citations

17.

Yu, Hui. (2009). Statistical Learning Theory & Support Vector Machince Method.

18.

Yu, Hui. (2002). An EOQ Model Taking Account of the Variable Selling Price Under Stock Dependent Selling Rate. Journal of Chongqing University. English Edition.

19.

Yu, Hui. (2002). Removal of Organic Sulfur from Coal by Perchloroethylene Extraction and Ultrasonic Wave. Journal of China University of Mining and Technology. 5 indexed citations

20.

Yu, Hui. (2000). Investigation on Indoor Air Pollution in Furniture Markets. Journal of environmental health. 2 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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