Yun Ling

1.6k total citations
94 papers, 1.1k citations indexed

About

Yun Ling is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yun Ling has authored 94 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 22 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yun Ling's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Cryptography and Data Security (7 papers) and Neurological disorders and treatments (6 papers). Yun Ling is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Cryptography and Data Security (7 papers) and Neurological disorders and treatments (6 papers). Yun Ling collaborates with scholars based in China, United States and Hong Kong. Yun Ling's co-authors include Guiyi Wei, Athanasios V. Vasilakos, Bin Xiao, Song Han, Miao Xie, Hsiao‐Hwa Chen, Jun Shao, Jun Yang, Wei Sun and Hesheng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Yun Ling

87 papers receiving 1.0k citations

Peers

Yun Ling

CNC

EEE

CVPR

Yuan Yang China

Shuteng Niu United States

Kelton Augusto Pontara da Costa Brazil

Hamed Shah‐Hosseini Iran

Tao Ye China

Junhuai Li China

Soman K.P. India

Hongyu Yang China

N.I. Chervyakov Russia

Xudong Zhang China

Yuan Yang China

Yun Ling

345 ×0.7

CNC

375 ×1.2

446 ×2.0

EEE

69 ×0.4

202 ×1.4

CVPR

Citations per year, relative to Yun Ling Yun Ling (= 1×) peers Yuan Yang

Countries citing papers authored by Yun Ling

Since Specialization

Citations

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

Fields of papers citing papers by Yun Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Ling

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

Wang, Xiaolong, Yun Ling, Qiuyi Wang, et al.. (2025). Identification and validation of biomarkers in Alzheimer's disease based on machine learning algorithms and single-cell sequencing analysis. Computational Biology and Chemistry. 118. 108475–108475.

Ling, Yun, et al.. (2025). Leveraging deep reinforcement learning to optimize linear quadratic regulator parameters for leader-follower formation control. Engineering Applications of Artificial Intelligence. 151. 110666–110666.

Wang, Xuemei, Zhan Wang, Yaqin Yang, et al.. (2024). Machine‐learning model for the prediction of acute orthostatic hypotension after levodopa administration. CNS Neuroscience & Therapeutics. 30(3). e14575–e14575. 3 indexed citations

Qin, He, Lingyu Wu, Wei Du, et al.. (2024). Instrumented timed up and go test and machine learning-based levodopa response evaluation: a pilot study. Journal of NeuroEngineering and Rehabilitation. 21(1). 163–163. 1 indexed citations

Ling, Yun, et al.. (2024). Wearable sensor-based quantitative gait analysis in Parkinson’s disease patients with different motor subtypes. npj Digital Medicine. 7(1). 169–169. 11 indexed citations

Zhao, Jie, Yun Ling, Faliang Huang, Jiahai Wang, & Eric W.K. See-To. (2023). Incremental feature selection for dynamic incomplete data using sub-tolerance relations. Pattern Recognition. 148. 110125–110125. 8 indexed citations

Shen, Dingding, Yun Ling, Dianyou Li, et al.. (2023). Bilateral globus pallidus interna deep brain stimulation in Parkinson’s disease: Therapeutic effects and motor outcomes prediction in a short-term follow up. Frontiers in Human Neuroscience. 16. 1023917–1023917.

Gao, Chao, et al.. (2023). Wearable sensor-based gait analysis to discriminate early Parkinson’s disease from essential tremor. Journal of Neurology. 270(4). 2283–2301. 37 indexed citations

Ma, Lingyan, Cheng Chen, Zhan Wang, et al.. (2023). Remote scoring models of rigidity and postural stability of Parkinson’s disease based on indirect motions and a low-cost RGB algorithm. Frontiers in Aging Neuroscience. 15. 1034376–1034376. 3 indexed citations

10.

Zhang, Yang, et al.. (2023). Variable weight coefficient MPC control strategy for qZSI‐VSG wind power grid‐connected system. IET Renewable Power Generation. 17(8). 1952–1965. 3 indexed citations

11.

Cui, Shishuang, Gen Li, Juanjuan Du, et al.. (2022). MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort. Parkinson s Disease. 2022(1). 3481102–3481102. 3 indexed citations

12.

Zhang, Zhiqiang, et al.. (2022). Image thresholding segmentation based on weighted Parzen-window and linear programming techniques. Scientific Reports. 12(1). 13635–13635. 8 indexed citations

13.

Wang, Linbin, Lu Xu, Zhengyu Lin, et al.. (2022). Effects of Unilateral Stimulation in Parkinson's Disease: A Randomized Double-Blind Crossover Trial. Frontiers in Neurology. 12. 812455–812455. 4 indexed citations

14.

Li, Wendan, Jintao Zhang, Jianjun Lu, et al.. (2022). Recognition of Freezing of Gait in Parkinson’s Disease Based on Machine Vision. Frontiers in Aging Neuroscience. 14. 921081–921081. 11 indexed citations

15.

Li, Gen, Chao Gao, Yuyan Tan, et al.. (2021). Prediction of Freezing of Gait in Parkinson’s Disease Using a Random Forest Model Based on an Orthogonal Experimental Design: A Pilot Study. Frontiers in Human Neuroscience. 15. 636414–636414. 10 indexed citations

16.

Ling, Yun, et al.. (2017). A novel denoising algorithm for acceleration signal based on compressed sensing. 900–904. 2 indexed citations

17.

Wang, Xin, et al.. (2016). A NEW PRINTED MICROSTRIP UWB POWER DIVIDER WITH NOTCHED BAND. Progress In Electromagnetics Research C. 62. 71–76. 1 indexed citations

18.

Ling, Yun, et al.. (2013). A New Wrapped Ensemble Approach for Financial Forecast. SHILAP Revista de lepidopterología. 23(1). 21–32. 2 indexed citations

19.

Ling, Yun, et al.. (2012). Real-Time Fault-Tolerant Scheduling Algorithm for Distributed Computing Systems. Journal of Digital Information Management. 10(5). 289–294. 1 indexed citations

20.

Ling, Yun, et al.. (2007). A Fuzzy Ontology and Its Application to Computer Games. 442–446. 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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