Lin Yue

507 total citations
18 papers, 159 citations indexed

About

Lin Yue is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Lin Yue has authored 18 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Lin Yue's work include Machine Learning in Healthcare (2 papers), Machine Learning in Materials Science (2 papers) and Catalytic Processes in Materials Science (2 papers). Lin Yue is often cited by papers focused on Machine Learning in Healthcare (2 papers), Machine Learning in Materials Science (2 papers) and Catalytic Processes in Materials Science (2 papers). Lin Yue collaborates with scholars based in China, Australia and United States. Lin Yue's co-authors include Mark C.M. van Loosdrecht, Olav A. Aarstad, Simon Felz, Kai Liu, Bin Liu, Xiaowei Zhao, Sen Wang, Robert Boots, Guodong Long and Don H. Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and The Journal of the Acoustical Society of America.

In The Last Decade

Lin Yue

15 papers receiving 155 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Yue China 5 80 37 32 22 15 18 159
Zahra Kazemi Iran 10 51 0.6× 30 0.8× 73 2.3× 11 0.5× 19 1.3× 26 254
Ruyi Wang China 12 172 2.1× 82 2.2× 107 3.3× 37 1.7× 32 2.1× 35 362
Elizabeth Toyin Okeniyi Nigeria 11 83 1.0× 10 0.3× 11 0.3× 18 0.8× 14 0.9× 25 292
Yaolong Wang China 9 29 0.4× 37 1.0× 10 0.3× 10 0.5× 11 0.7× 31 232
Weijian Cai China 12 63 0.8× 21 0.6× 15 0.5× 43 2.0× 27 1.8× 22 333
Sabina Kolbl Repinc Slovenia 10 33 0.4× 55 1.5× 36 1.1× 84 3.8× 15 1.0× 24 257
Hui-Wen Lin Taiwan 9 27 0.3× 59 1.6× 21 0.7× 43 2.0× 41 2.7× 17 253
S. Vijaya Krishna India 8 41 0.5× 23 0.6× 41 1.3× 34 1.5× 20 1.3× 11 332
Tae-Young Jeong South Korea 11 57 0.7× 79 2.1× 35 1.1× 94 4.3× 34 2.3× 40 364
Santino Di Berardino Portugal 6 72 0.9× 61 1.6× 23 0.7× 50 2.3× 16 1.1× 16 289

Countries citing papers authored by Lin Yue

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Yue. A scholar is included among the top collaborators of Lin Yue 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 Lin Yue. Lin Yue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Yue, Lin, Wenjun Zhong, Xingyu Wang, et al.. (2025). pH-responsive drug-targeted delivery system: Dual-drug loading hollow mesoporous silica for synergistic therapy bacterial enteritis of Micropterus salmoides. Chemical Engineering Journal. 515. 163819–163819. 2 indexed citations
2.
Chen, Weitong, et al.. (2025). Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation. Knowledge-Based Systems. 324. 113763–113763.
5.
Zhang, Wei Emma, et al.. (2024). Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. Repository@Nottingham (University of Nottingham). 3395–3404. 1 indexed citations
6.
Ferris, Laura J., et al.. (2024). Emotionally Guided Symbolic Music Generation Using Diffusion Models: The AGE-DM Approach. 1–5. 1 indexed citations
7.
Zhang, Wei Emma, et al.. (2024). Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. 3405–3414. 1 indexed citations
9.
Yue, Lin, Hao Shen, Sen Wang, et al.. (2021). Exploring BCI Control in Smart Environments. ACM Transactions on Knowledge Discovery from Data. 15(5). 1–20. 13 indexed citations
10.
Liu, Chunyu, Yongjian Yang, Zijun Yao, et al.. (2021). Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. 1048–1057. 2 indexed citations
11.
Liu, Bin, et al.. (2019). An Aircraft Pallet Damage Monitoring Method Based on Damage Subarea Identification and Probability-Based Diagnostic Imaging. Journal of Advanced Transportation. 2019. 1–12. 6 indexed citations
12.
Li, Yuting, et al.. (2019). Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance. Catalysts. 9(6). 493–493. 4 indexed citations
17.
Felz, Simon, et al.. (2016). Extraction of Structural Extracellular Polymeric Substances from Aerobic Granular Sludge. Journal of Visualized Experiments. 101 indexed citations
18.
Yue, Lin & Don H. Johnson. (1997). Optimal binaural processing based on point process models of preprocessed cues. The Journal of the Acoustical Society of America. 101(2). 982–992. 3 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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