Ying Chu

444 total citations
38 papers, 254 citations indexed

About

Ying Chu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ying Chu has authored 38 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ying Chu's work include Image and Video Quality Assessment (9 papers), Advanced Image Fusion Techniques (8 papers) and Image Enhancement Techniques (4 papers). Ying Chu is often cited by papers focused on Image and Video Quality Assessment (9 papers), Advanced Image Fusion Techniques (8 papers) and Image Enhancement Techniques (4 papers). Ying Chu collaborates with scholars based in China, United States and Hong Kong. Ying Chu's co-authors include Huilian Liao, Qinghua Wu, Mingxia Liu, Lishan Qiao, Hengyong Yu, Liang Cao, Hong Fu, Guangyu Wang, Hanghang Liu and Aixi Yu and has published in prestigious journals such as Carbohydrate Polymers, Acta Biomaterialia and Sensors.

In The Last Decade

Ying Chu

32 papers receiving 242 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 Chu China 9 70 52 48 38 34 38 254
Mehmood Nawaz Hong Kong 12 37 0.5× 96 1.8× 69 1.4× 9 0.2× 58 1.7× 28 320
Guanghui Li China 8 49 0.7× 117 2.3× 42 0.9× 26 0.7× 53 1.6× 21 297
Rahim Khan China 9 124 1.8× 66 1.3× 31 0.6× 11 0.3× 112 3.3× 19 365
Naoyuki Aikawa Japan 8 15 0.2× 50 1.0× 97 2.0× 24 0.6× 16 0.5× 100 281
Md. Abul Ala Walid Bangladesh 9 113 1.6× 64 1.2× 17 0.4× 11 0.3× 46 1.4× 45 255
Rafael Martínez‐Tomás Spain 8 84 1.2× 86 1.7× 12 0.3× 31 0.8× 7 0.2× 29 234
Guillermo Iglesias Spain 3 65 0.9× 42 0.8× 16 0.3× 20 0.5× 14 0.4× 6 209
Chengcheng Jia China 13 95 1.4× 183 3.5× 59 1.2× 49 1.3× 8 0.2× 24 316
Jinzhuo Wang China 11 85 1.2× 174 3.3× 51 1.1× 5 0.1× 27 0.8× 34 299
Abhishek Thakur India 10 50 0.7× 118 2.3× 30 0.6× 16 0.4× 16 0.5× 63 344

Countries citing papers authored by Ying Chu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Chu. A scholar is included among the top collaborators of Ying Chu 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 Chu. Ying Chu 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, Yu, Yuan Rao, Wenhui Hou, et al.. (2025). A dataset of multimodal images of tomato fruits at different stages of maturity. China Scientific Data. 10(1). 1–16.
2.
Liao, Qian, Yu Zhang, Ying Chu, et al.. (2025). Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review. 2(1). 11 indexed citations
3.
Han, Ke, Jianchun Wang, Ying Chu, et al.. (2024). Deep learning based method for predicting DNA N6-methyladenosine sites. Methods. 230. 91–98. 2 indexed citations
4.
Han, Ke, et al.. (2024). Research Progress in High-Energy Electron Flux Prediction Methods in Geosynchronous Orbit. Solar System Research. 58(5). 612–628.
5.
Wang, Guangyu, et al.. (2024). Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1830–1841. 1 indexed citations
6.
Wang, Zheng, Ying Chu, Jingyi Du, et al.. (2024). Accelerating repair of infected bone defects through post-reinforced injectable hydrogel mediated antibacterial/immunoregulatory microenvironment at bone-hydrogel interface. Carbohydrate Polymers. 351. 123082–123082. 19 indexed citations
7.
Zhang, Yu, Qian Liao, Prayag Tiwari, et al.. (2024). MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug–target interaction. Future Generation Computer Systems. 160. 844–853. 3 indexed citations
9.
Chu, Ying, Fan Chen, Hong Fu, & Hengyong Yu. (2023). Detection of Air Pollution in Urban Areas Using Monitoring Images. Atmosphere. 14(5). 772–772. 1 indexed citations
10.
Chen, Fan, Hong Fu, Hengyong Yu, & Ying Chu. (2023). Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality. Sensors. 23(10). 4974–4974. 3 indexed citations
11.
Fu, Hong, et al.. (2023). No-Reference Image Quality Assessment Based on a Multitask Image Restoration Network. Applied Sciences. 13(11). 6802–6802. 3 indexed citations
12.
Chu, Ying, Guangyu Wang, Liang Cao, Lishan Qiao, & Mingxia Liu. (2022). Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI. Frontiers in Neuroinformatics. 15. 802305–802305. 24 indexed citations
13.
Zheng, Lilei, et al.. (2018). Towards Building a Remote Anti-spoofing Face Authentication System. 321–326. 3 indexed citations
14.
Huang, Zhi-An, et al.. (2017). LW-FQZip 2: a parallelized reference-based compression of FASTQ files. BMC Bioinformatics. 18(1). 179–179. 19 indexed citations
15.
Chu, Ying, Xuanqin Mou, Wei Hong, & Zhen Ji. (2012). A novel no-reference image quality assessment metric based on statistical independence. 12. 1–6. 2 indexed citations
16.
Dong, Xiaoshe, et al.. (2009). An Efficient Software-Managed Cache Based on Cell Broadband Engine Architecture. International Journal of Distributed Sensor Networks. 5(1). 16–16.
17.
Chu, Ying, et al.. (2008). Image compression using multilayer neural networks based on Fast Bacterial Swarming Algorithm. 2890–2893. 3 indexed citations
18.
Chu, Ying. (2006). A Gray-Level Image Registration Algorithm for DSA Image Based on Subtraction Histogram and Gray Value Shift Mesh. Dianzi xuebao. 1 indexed citations
20.
Chu, Ying. (2005). A fast image registration technique in digital subtraction angiography with cross template. 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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