Ying Weng

1.2k total citations · 1 hit paper
43 papers, 788 citations indexed

About

Ying Weng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ying Weng has authored 43 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ying Weng's work include Video Analysis and Summarization (6 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Vision and Imaging (5 papers). Ying Weng is often cited by papers focused on Video Analysis and Summarization (6 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Vision and Imaging (5 papers). Ying Weng collaborates with scholars based in China, United Kingdom and United States. Ying Weng's co-authors include Yiming Zhang, Jonathan N. Lund, Jianmin Jiang, Zijian Zhao, Tingting Li, Chaoqing Tang, Gaofeng Pan, Yunfei Chen, S. Ipson and Wiebke J. Boeing and has published in prestigious journals such as The Science of The Total Environment, Expert Systems with Applications and Information Sciences.

In The Last Decade

Ying Weng

38 papers receiving 743 citations

Hit Papers

Applications of Explainable Artificial Intelligence in Di... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Weng China 16 281 206 106 102 77 43 788
Peng Cheng China 15 248 0.9× 321 1.6× 57 0.5× 82 0.8× 105 1.4× 60 1.2k
Hamidullah Binol United States 12 123 0.4× 166 0.8× 42 0.4× 77 0.8× 25 0.3× 33 467
Zifan Wang United States 9 331 1.2× 449 2.2× 30 0.3× 145 1.4× 35 0.5× 18 912
Boran Şekeroğlu Cyprus 16 171 0.6× 309 1.5× 38 0.4× 262 2.6× 67 0.9× 51 923
Meenu Gupta India 14 222 0.8× 465 2.3× 42 0.4× 458 4.5× 77 1.0× 175 1.2k
Angshuman Paul India 11 143 0.5× 241 1.2× 103 1.0× 141 1.4× 14 0.2× 39 648
Piotr Mardziel United States 8 322 1.1× 520 2.5× 24 0.2× 135 1.3× 35 0.5× 12 906
Muhammad Maaz Pakistan 9 494 1.8× 376 1.8× 28 0.3× 87 0.9× 27 0.4× 30 998
Hugo L. Hammer Norway 13 141 0.5× 348 1.7× 20 0.2× 164 1.6× 40 0.5× 99 913
Anum Masood Pakistan 14 118 0.4× 317 1.5× 41 0.4× 342 3.4× 21 0.3× 54 752

Countries citing papers authored by Ying Weng

Since Specialization
Citations

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

Fields of papers citing papers by Ying Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Weng. A scholar is included among the top collaborators of Ying Weng 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 Weng. Ying Weng 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.
Zhang, Juntao, Ying Weng, Akram A. Hosseini, et al.. (2025). Applications of machine learning for computer-aided diagnosis of Parkinson’s disease: progress and benchmark case study. Artificial Intelligence Review. 58(11). 357–357.
2.
Huang, Xing, Yulin Chen, Donglian Qi, et al.. (2025). Hash-based FDI attack-resilient distributed self-triggered secondary frequency control for islanded microgrids. Global Energy Interconnection. 8(1). 1–12.
3.
Zhang, Yiming, et al.. (2024). CWT-ViT: A time–frequency representation and vision transformer-based framework for automated robotic surgical skill assessment. Expert Systems with Applications. 258. 125064–125064. 4 indexed citations
4.
Chen, Ke, Ying Weng, Yueqin Huang, et al.. (2024). A multi‐view learning approach with diffusion model to synthesize FDG PET from MRI T1WI for diagnosis of Alzheimer's disease. Alzheimer s & Dementia. 21(2). e14421–e14421. 2 indexed citations
6.
Liu, Yitong, et al.. (2024). Industrial Internet Security Situation Assessment Method Based on Self-Attention Mechanism. 148–151. 1 indexed citations
7.
Li, Chao, et al.. (2023). Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3598–3607. 2 indexed citations
8.
Weng, Ying & Yiming Zhang. (2023). A Survey of Secure Time Synchronization. Applied Sciences. 13(6). 3923–3923. 6 indexed citations
9.
Chen, Ke, Ying Weng, Akram A. Hosseini, et al.. (2023). A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer’s Disease involving data synthesis. Neural Networks. 169. 442–452. 18 indexed citations
11.
Zhang, Yiming, et al.. (2023). Natural Language Processing Applications for Computer-Aided Diagnosis in Oncology. Diagnostics. 13(2). 286–286. 33 indexed citations
12.
Chen, Ke, Akram A. Hosseini, Ying Weng, Tom Dening, & Guokun Zuo. (2023). Two‐stage diffusion model deriving FDG‐PET from T1 Weighted Magnetic Resonance Images for diagnosis of Alzheimer’s disease. Alzheimer s & Dementia. 19(S17). 1 indexed citations
14.
Zhang, Yiming, Ke Chen, Ying Weng, et al.. (2022). An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US. Expert Systems with Applications. 198. 116882–116882. 38 indexed citations
15.
Guo, Zhao‐Feng, Wiebke J. Boeing, Edoardo Borgomeo, Yaoyang Xu, & Ying Weng. (2021). Linking reservoir ecosystems research to the sustainable development goals. The Science of The Total Environment. 781. 146769–146769. 57 indexed citations
16.
Zhao, Zijian, et al.. (2021). The Role and Impact of Deep Learning Methods in Computer-Aided Diagnosis Using Gastrointestinal Endoscopy. Diagnostics. 11(4). 694–694. 13 indexed citations
17.
Zhang, Juntao, Ziyue Zhang, Ying Weng, et al.. (2020). Using Recurrent Neural Network for Intelligent Prediction of Water Level in Reservoirs. Repository@Nottingham (University of Nottingham). 1125–1126. 6 indexed citations
18.
Baldassin, Alexandro, Ying Weng, Daniel Carlos Guimarães Pedronette, & Jurandy Almeida. (2018). An optimized unsupervised manifold learning algorithm for manycore architectures. Information Sciences. 496. 410–430. 2 indexed citations
19.
Jiang, Jianmin, et al.. (2011). LIVE: An Integrated Production and Feedback System for Intelligent and Interactive TV Broadcasting. IEEE Transactions on Broadcasting. 57(3). 646–661. 27 indexed citations
20.
Weng, Ying, et al.. (2007). A New Robust Watermarking Scheme for Color Image in Spatial Domain. View. 942–947. 35 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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