Ying Lin

755 total citations
39 papers, 467 citations indexed

About

Ying Lin is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ying Lin has authored 39 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Experimental and Cognitive Psychology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ying Lin's work include Network Security and Intrusion Detection (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Schizophrenia research and treatment (3 papers). Ying Lin is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Schizophrenia research and treatment (3 papers). Ying Lin collaborates with scholars based in United States, China and South Africa. Ying Lin's co-authors include Shuai Huang, Shan Liu, Yan Zhang, Chenang Liu, Bin Qian, Yusheng Yao, Gregory E. Simon, Hua Chen, Shizhong Han and Kalyani Sonawane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Strategic Management Journal and PEDIATRICS.

In The Last Decade

Ying Lin

36 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Lin United States 14 131 87 59 58 49 39 467
James Agutter United States 13 90 0.7× 67 0.8× 34 0.6× 13 0.2× 46 0.9× 26 570
Mark Kliger Israel 11 84 0.6× 32 0.4× 51 0.9× 39 0.7× 101 2.1× 23 558
Nicholas Nelson United States 15 56 0.4× 83 1.0× 15 0.3× 4 0.1× 26 0.5× 69 924
Xiaoke Zhang United States 12 98 0.7× 27 0.3× 13 0.2× 12 0.2× 21 0.4× 44 592
Dingding Wang China 8 185 1.4× 9 0.1× 8 0.1× 7 0.1× 48 1.0× 20 460
Samantha Kleinberg United States 14 218 1.7× 27 0.3× 59 1.0× 17 0.3× 1 0.0× 60 821
Yuanfang Ren United States 12 144 1.1× 13 0.1× 48 0.8× 11 0.2× 4 0.1× 40 554
Vicente Moret‐Bonillo Spain 18 230 1.8× 36 0.4× 128 2.2× 93 1.6× 2 0.0× 68 913
Peter Weller United Kingdom 11 163 1.2× 24 0.3× 11 0.2× 32 0.6× 3 0.1× 29 550
Shirin Enshaeifar United Kingdom 13 131 1.0× 109 1.3× 101 1.7× 28 0.5× 3 0.1× 34 565

Countries citing papers authored by Ying Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ying Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Lin. A scholar is included among the top collaborators of Ying Lin 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 Lin. Ying Lin 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.
Wu, Lixia, et al.. (2025). The effect of therapeutic massage combined with conventional therapy in children with functional dyspepsia: a systematic review and meta-analysis. Frontiers in Pharmacology. 16. 1554438–1554438. 1 indexed citations
3.
Rowan, Paul J., et al.. (2024). Trajectories and Predictors for the Development of Clinically Significant Weight Gain in Children and Adolescents Prescribed Second-Generation Antipsychotics. Journal of Child and Adolescent Psychopharmacology. 34(4). 201–209. 1 indexed citations
4.
Li, Mai Suan, Ying Lin, Qianmei Feng, et al.. (2024). Autoregressive distributed lag-based dynamic uniformity modeling and monitoring approaches for superconductor manufacturing. International Journal of Computer Integrated Manufacturing. 38(9). 1278–1294. 2 indexed citations
5.
Liu, Chenang, et al.. (2023). A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare. BioData Mining. 16(1). 15–15. 43 indexed citations
6.
López-Olivo, María A., et al.. (2023). Performance of advanced machine learning algorithms overlogistic regression in predicting hospital readmissions: A meta-analysis. SHILAP Revista de lepidopterología. 11. 100317–100317. 12 indexed citations
7.
Li, Wanting, et al.. (2023). Effects of routine procedures on salivary cortisol in mechanically ventilated neonates. Scientific Reports. 13(1). 4622–4622. 4 indexed citations
8.
Sonawane, Kalyani, et al.. (2023). A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention. Journal of Biomedical Informatics. 141. 104342–104342. 12 indexed citations
9.
Deng, Zhicheng, Yonghui Shi, Ying Lin, et al.. (2022). Curcumin and its nano-formulations: Defining triple-negative breast cancer targets through network pharmacology, molecular docking, and experimental verification. Frontiers in Pharmacology. 13. 920514–920514. 38 indexed citations
10.
Li, Ang, et al.. (2022). A Multi-Period Curve Fitting Model for Short-Term Prediction of the COVID-19 Spread in the U.S. Metropolitans. Frontiers in Public Health. 9. 809877–809877. 2 indexed citations
11.
Lin, Ying, D. Butler, D.V. Webb, et al.. (2021). APMP key comparison of absorbed dose to water for 60 Co, APMP.RI(I)-K4. Metrologia. 58(1A). 6022–6022.
12.
Ren, Ziwu, Rihui Li, Bin Chen, et al.. (2021). EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function. Frontiers in Neurorobotics. 15. 618408–618408. 37 indexed citations
14.
Lin, Ying, Shuai Huang, Gregory E. Simon, & Shan Liu. (2018). Data-based Decision Rules to Personalize Depression Follow-up. Scientific Reports. 8(1). 5064–5064. 15 indexed citations
15.
Song, Lin, et al.. (2016). Diagnosis and rehabilitation of deep wound infection and internal fixation rejection in elbow. Medicine. 95(23). e3777–e3777.
16.
Lin, Ying, Shuai Huang, Gregory E. Simon, & Shan Liu. (2016). Analysis of depression trajectory patterns using collaborative learning. Mathematical Biosciences. 282. 191–203. 14 indexed citations
17.
Li, Mei, Ying Lin, Shuai Huang, & Craig Crossland. (2015). The use of sparse inverse covariance estimation for relationship detection and hypothesis generation in strategic management. Strategic Management Journal. 37(1). 86–97. 3 indexed citations
18.
Zhang, Yan, et al.. (2015). Environmental Audio Classification Based on Active Learning with SVM. Advances in computer science research. 1 indexed citations
19.
Yao, Yusheng, Yanqing Chen, Dongsheng Dai, & Ying Lin. (2014). Dose-response relationship of 0.2% ropivacaine for ultrasound-guided stellate ganglion block. Zhonghua mazuixue zazhi. 34(2). 196–198. 1 indexed citations
20.
Lin, Ying. (2005). TWO PERSPECTIVES ON MALAGASY REDUPLICATION: DERIVATIONAL AND OT ANALYSES ∗. 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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