Yi Ding

3.0k total citations
125 papers, 2.0k citations indexed

About

Yi Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yi Ding has authored 125 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 22 papers in Media Technology. Recurrent topics in Yi Ding's work include Medical Image Segmentation Techniques (23 papers), Brain Tumor Detection and Classification (21 papers) and Advanced Neural Network Applications (21 papers). Yi Ding is often cited by papers focused on Medical Image Segmentation Techniques (23 papers), Brain Tumor Detection and Classification (21 papers) and Advanced Neural Network Applications (21 papers). Yi Ding collaborates with scholars based in China, United States and Australia. Yi Ding's co-authors include Zhiguang Qin, Tian Lan, Zhen Qin, Jiangtao Xi, Kim‐Kwang Raymond Choo, Yanguang Yu, Zhen Qin, Mingsheng Cao, J.F. Chicharo and Shunyao Luan and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Letters and Optics Express.

In The Last Decade

Yi Ding

113 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi Ding China	24	1.1k	497	484	443	229	125	2.0k
Yuemin Zhu France	26	946 0.9×	248 0.5×	308 0.6×	1.0k 2.3×	219 1.0×	239	2.5k
Chenyu You United States	20	1.0k 0.9×	757 1.5×	218 0.5×	828 1.9×	101 0.4×	53	2.2k
Kai‐Lung Hua Taiwan	23	1.2k 1.1×	481 1.0×	119 0.2×	406 0.9×	262 1.1×	141	2.3k
Yinghuan Shi China	29	1.7k 1.6×	1.1k 2.3×	193 0.4×	557 1.3×	284 1.2×	121	2.8k
Syamsiah Mashohor Malaysia	22	1.0k 1.0×	623 1.3×	300 0.6×	718 1.6×	283 1.2×	96	1.9k
Chenyang Xu China	13	1.5k 1.4×	461 0.9×	237 0.5×	612 1.4×	193 0.8×	31	2.3k
Leonardo Rundo Italy	33	1.0k 1.0×	1.2k 2.4×	518 1.1×	1.4k 3.1×	171 0.7×	102	3.3k
María A. Zuluaga France	19	818 0.8×	988 2.0×	224 0.5×	705 1.6×	82 0.4×	76	2.4k
Tao Zhou China	25	1.3k 1.2×	1.1k 2.1×	292 0.6×	1.1k 2.4×	291 1.3×	97	3.0k

Countries citing papers authored by Yi Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yi Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Ding

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

Zhao, Yijing, et al.. (2025). Integrated Reinforcement Learning Framework for UAV Swarm Two-Stage Cooperative Multitarget Detection Tasks. IEEE Internet of Things Journal. 12(8). 9435–9448. 1 indexed citations

Li, Yong, Zhen Cui, Yi Ding, et al.. (2025). Decoupled Doubly Contrastive Learning for Cross-Domain Facial Action Unit Detection. IEEE Transactions on Image Processing. 34. 2067–2080. 1 indexed citations

Luan, Shunyao, Yi Ding, Nannan Qin, et al.. (2024). Deep learning for head and neck semi-supervised semantic segmentation. Physics in Medicine and Biology. 69(5). 55008–55008. 3 indexed citations

Ding, Yi, et al.. (2024). Phase noise reduction in digital holographic microscopy based on adaptive filtering and total directional variation. Optics & Laser Technology. 181. 111807–111807.

Zhao, Yijing, et al.. (2024). S2F-Net: Shared-Specific Fusion Network for Infrared and Visible Image Fusion. 497–505. 1 indexed citations

Ding, Yi, et al.. (2024). C2FResMorph: A high-performance framework for unsupervised 2D medical image registration. Pattern Recognition. 154. 110615–110615. 4 indexed citations

Luan, Shunyao, et al.. (2023). Machine Learning-Based Quality Assurance for Automatic Segmentation of Head-and-Neck Organs-at-Risk in Radiotherapy. Technology in Cancer Research & Treatment. 22. 2223899824–2223899824. 5 indexed citations

Cheng, Keyang, et al.. (2023). Sonar image garbage detection via global despeckling and dynamic attention graph optimization. Neurocomputing. 529. 152–165. 21 indexed citations

Zhang, Jianmin, et al.. (2023). Three-Dimensional Point Cloud-Filtering Method Based on Image Segmentation and Absolute Phase Recovery. Electronics. 12(12). 2749–2749.

10.

Xiang, Xinjian, et al.. (2023). GC-YOLOv5s: A Lightweight Detector for UAV Road Crack Detection. Applied Sciences. 13(19). 11030–11030. 10 indexed citations

11.

Liu, Yumeng, Yijing Zhao, & Yi Ding. (2023). Geometric Configuration Design and Fast Imaging for Multistatic Forward-Looking SAR Based on Wavenumber Spectrum Formation Approach. Remote Sensing. 15(11). 2783–2783. 1 indexed citations

12.

Ding, Yi, et al.. (2023). A cascaded framework with cross-modality transfer learning for whole heart segmentation. Pattern Recognition. 147. 110088–110088. 15 indexed citations

13.

Luan, Shunyao, Shuang Lei, Jing Huang, et al.. (2023). Deep learning for fast denoising filtering in ultrasound localization microscopy. Physics in Medicine and Biology. 68(20). 205002–205002. 62 indexed citations

14.

Luan, Shunyao, Yi Ding, Xudong Xue, et al.. (2023). PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation. Frontiers in Oncology. 13. 1177788–1177788. 7 indexed citations

15.

Qin, Zhen, et al.. (2019). A framework for hierarchical division of retinal vascular networks. Neurocomputing. 392. 221–232. 20 indexed citations

16.

Ding, Yi, et al.. (2019). A Stacked Multi-Connection Simple Reducing Net for Brain Tumor Segmentation. IEEE Access. 7. 104011–104024. 68 indexed citations

17.

Lan, Tian, et al.. (2014). MRI brain image segmentation based on Kerneled FCM algorithm and using image filtering method. 511–515. 4 indexed citations

18.

Lan, Tian, et al.. (2014). Multimodal medical image fusion using wavelet transform and human vision system. 491–495. 5 indexed citations

19.

Ding, Yi & Lyndon Smith. (2007). 3D surface texture analysis for early malignant melanoma diagnosis. 431–436.

20.

Wang, Yihua, et al.. (2005). [Long term survival results in advanced prostate cancer treated with combined androgen blockade].. PubMed. 11(10). 770–1, 774. 5 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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