Yiming Wang

964 total citations · 1 hit paper
38 papers, 564 citations indexed

About

Yiming Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Yiming Wang has authored 38 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 4 papers in Media Technology. Recurrent topics in Yiming Wang's work include Advanced Vision and Imaging (12 papers), Video Coding and Compression Technologies (10 papers) and Advanced Data Compression Techniques (7 papers). Yiming Wang is often cited by papers focused on Advanced Vision and Imaging (12 papers), Video Coding and Compression Technologies (10 papers) and Advanced Data Compression Techniques (7 papers). Yiming Wang collaborates with scholars based in China, United Kingdom and Malaysia. Yiming Wang's co-authors include Daniel Povey, Gaofeng Cheng, Sanjeev Khudanpur, Hainan Xu, Mahsa Yarmohammadi, Ke Li, Xi Chen, Zengxin Zhang, Qian Huang and Rachel Cooper and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Yiming Wang

35 papers receiving 514 citations

Hit Papers

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Ne... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks
    2018 275 citations Daniel Povey, Gaofeng Cheng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiming Wang China 9 254 196 110 83 43 38 564
Xuan Wu China 15 310 1.2× 33 0.2× 128 1.2× 52 0.6× 6 0.1× 46 569
Sijin Li China 12 248 1.0× 65 0.3× 246 2.2× 40 0.5× 1 0.0× 32 759
Conrad M Albrecht Germany 11 117 0.5× 34 0.2× 132 1.2× 55 0.7× 3 0.1× 34 542
Runyu Fan China 14 158 0.6× 9 0.0× 158 1.4× 99 1.2× 4 0.1× 28 668
Yuqing He China 11 32 0.1× 60 0.3× 72 0.7× 64 0.8× 1 0.0× 55 399
Anmin Zhang China 13 17 0.1× 23 0.1× 56 0.5× 15 0.2× 33 0.8× 60 467
Shanshan Zhao China 16 210 0.8× 130 0.7× 26 0.2× 189 2.3× 56 879
Alejandro Ramírez-Rojas Mexico 15 225 0.9× 46 0.2× 8 0.1× 39 0.5× 12 0.3× 46 639
Adeel Yousaf Pakistan 8 84 0.3× 21 0.1× 223 2.0× 43 0.5× 11 761

Countries citing papers authored by Yiming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Wang. A scholar is included among the top collaborators of Yiming Wang 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 Yiming Wang. Yiming Wang 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.
Qin, Ruijun, et al.. (2025). Advancing precision agriculture with deep learning enhanced SIS-YOLOv8 for Solanaceae crop monitoring. Frontiers in Plant Science. 15. 1485903–1485903. 2 indexed citations
2.
Wang, Yiming, et al.. (2025). Multiscale motion-aware and spatial–temporal-channel contextual coding network for learned video compression. Knowledge-Based Systems. 316. 113401–113401. 1 indexed citations
3.
4.
Wang, Yiming, et al.. (2025). STFE-VC: Spatio-temporal feature enhancement for learned video compression. Expert Systems with Applications. 272. 126682–126682. 3 indexed citations
5.
Huang, Qian, et al.. (2025). Scalable Motion Estimation and Temporal Context Reinforcement for Video Compression Using RGB Sensors. IEEE Sensors Journal. 25(10). 18323–18333.
6.
Huang, Qian, et al.. (2024). A survey of feature matching methods. IET Image Processing. 18(6). 1385–1410. 8 indexed citations
7.
Chen, Yongzhe, et al.. (2024). Monthly Monitoring of Inundated Areas and Water Storage Dynamics in China's Large Reservoirs Using Multisource Remote Sensing. Water Resources Research. 60(8). 10 indexed citations
8.
Huang, Qian, et al.. (2024). DMCVS: Decomposed motion compensation‐based video stabilization. IET Image Processing. 18(6). 1422–1433. 2 indexed citations
9.
Huang, Qian, et al.. (2024). Fusing angular features for skeleton‐based action recognition using multi‐stream graph convolution network. IET Image Processing. 18(7). 1694–1709. 2 indexed citations
10.
Wang, Yiming, Li‐Hui Chen, Yingjie Cui, et al.. (2024). Spatial downscaling of GRACE-derived groundwater storage changes across diverse climates and human interventions with Random Forests. Journal of Hydrology. 640. 131708–131708. 18 indexed citations
11.
Wang, Yiming, et al.. (2024). Temporal context video compression with flow-guided feature prediction. Expert Systems with Applications. 247. 123322–123322. 8 indexed citations
12.
Cao, Junyue, et al.. (2024). NGCN: Drug‐target interaction prediction by integrating information and feature learning from heterogeneous network. Journal of Cellular and Molecular Medicine. 28(7). e18224–e18224. 4 indexed citations
13.
Xu, Yuancheng, et al.. (2023). Unveiling lake ice phenology in Central Asia under climate change with MODIS data and a two-step classification approach. Remote Sensing of Environment. 301. 113955–113955. 6 indexed citations
14.
Huang, Qian, et al.. (2023). Ship detection based on YOLO algorithm for visible images. IET Image Processing. 18(2). 481–492. 15 indexed citations
15.
16.
Huang, Qian, et al.. (2023). Optical Flow based Feature Prediction and Decomposed Context for Video Compression. 1–7. 2 indexed citations
17.
Zhang, Lizong, et al.. (2022). Behaviour recognition based on the integration of multigranular motion features in the Internet of Things. Digital Communications and Networks. 10(3). 666–675. 3 indexed citations
18.
Povey, Daniel, Gaofeng Cheng, Yiming Wang, et al.. (2018). Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks. 3743–3747. 275 indexed citations breakdown →
19.
Zou, Yuexian, et al.. (2017). Accurate small object detection via density map aided saliency estimation. 425–429. 1 indexed citations
20.
Guo, Kehua, James Z. Wang, & Yiming Wang. (2015). Application of ZY-3 remote sensing image in the research of Huashan experimental watershed. SHILAP Revista de lepidopterología. 368. 51–56. 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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