Chen Ding

12.6k total citations · 2 hit papers
125 papers, 9.0k citations indexed

About

Chen Ding is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chen Ding has authored 125 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Information Systems, 34 papers in Artificial Intelligence and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chen Ding's work include Web Data Mining and Analysis (23 papers), Service-Oriented Architecture and Web Services (23 papers) and Remote-Sensing Image Classification (20 papers). Chen Ding is often cited by papers focused on Web Data Mining and Analysis (23 papers), Service-Oriented Architecture and Web Services (23 papers) and Remote-Sensing Image Classification (20 papers). Chen Ding collaborates with scholars based in China, Canada and United States. Chen Ding's co-authors include Fuhui Long, Shaina Raza, Chi‐Hung Chi, Ali Miri, Alireza Sadeghian, Hongyuan Zha, Xiaofeng He, Yanning Zhang, Horst D. Simon and Lei Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Chen Ding

113 papers receiving 8.7k citations

Hit Papers

Feature selection based on mutual information criteria of... 2005 2026 2012 2019 2005 2022 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen Ding China 20 3.4k 2.4k 1.7k 1.2k 806 125 9.0k
Fuhui Long United States 20 3.0k 0.9× 2.4k 1.0× 2.4k 1.4× 463 0.4× 652 0.8× 31 9.5k
Tin Kam Ho United States 23 4.6k 1.4× 2.4k 1.0× 899 0.5× 1.0k 0.9× 1.0k 1.3× 78 11.2k
P. M. Durai Raj Vincent India 28 4.0k 1.2× 2.7k 1.1× 677 0.4× 584 0.5× 914 1.1× 92 10.0k
Andrew P. Bradley Australia 33 4.0k 1.2× 2.0k 0.8× 1.0k 0.6× 668 0.6× 454 0.6× 153 9.8k
Pedro Larrañaga Spain 48 5.5k 1.6× 1.6k 0.7× 3.2k 1.9× 930 0.8× 606 0.8× 231 11.9k
George H. John United States 10 4.2k 1.2× 2.0k 0.8× 1.2k 0.7× 1.2k 1.1× 732 0.9× 18 8.0k
Ludmila I. Kuncheva United Kingdom 45 7.5k 2.2× 3.6k 1.5× 1.1k 0.6× 1.3k 1.1× 1.4k 1.7× 128 12.3k
Mark E. Shields United States 3 4.3k 1.3× 3.1k 1.3× 981 0.6× 494 0.4× 814 1.0× 6 10.7k
Cho‐Jui Hsieh United States 40 6.3k 1.9× 3.6k 1.5× 811 0.5× 1.2k 1.1× 1.1k 1.4× 169 10.4k
Janez Demšar Slovenia 25 6.6k 2.0× 2.3k 1.0× 1.3k 0.8× 1.6k 1.4× 972 1.2× 54 11.4k

Countries citing papers authored by Chen Ding

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Ding. A scholar is included among the top collaborators of Chen 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 Chen Ding. Chen Ding 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.
Ding, Chen, et al.. (2025). Identifying dynamic functions of urban areas with a multi-temporal collaborative graph neural network model. International Journal of Geographical Information Systems. 40(1). 78–111.
2.
Chen, Jingyi, et al.. (2025). Text-Guided Distribution Calibration for Few-Shot Object Detection in Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 17671–17686.
3.
Ding, Chen, et al.. (2025). A Wavelet-Augmented Dual-Branch Position-Embedding Mamba Network for Hyperspectral Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.
4.
Zhang, Qiuyan, et al.. (2025). A facile in situ grafting strategy for fabricating flame retardant lyocell fabrics. Colloids and Surfaces A Physicochemical and Engineering Aspects. 720. 137107–137107.
5.
Shi, Lei, Yimin Zhou, Juan Wang, et al.. (2024). A Cross-Chain Mechanism for Agricultural Engineering Document Management Blockchain in the Context of Big Data. Big Data Research. 36. 100459–100459.
6.
Ding, Chen, et al.. (2024). Survey of hyperspectral image change detection method. Journal of Image and Graphics. 29(6). 1714–1729. 1 indexed citations
7.
Ding, Chen, et al.. (2024). GLGAT-CFSL: Global-Local Graph Attention Network-Based Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19. 2 indexed citations
8.
Ding, Chen, et al.. (2024). Integrating Prototype Learning With Graph Convolution Network for Effective Active Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 18 indexed citations
9.
Ding, Chen, Jianbo Tang, Min Deng, Hui Li, & Xiaoming Mei. (2024). A local encryption method for large-scale vector maps based on spatial hierarchical index and 4D hyperchaotic system. International Journal of Geographical Information Systems. 38(11). 2272–2300. 2 indexed citations
10.
Nie, Jiangtao, Wei Wei, Lei Zhang, Chen Ding, & Yanning Zhang. (2024). Hybrid Pixel-Wise Registration Learning for Robust Fusion-Based Hyperspectral Image Super-Resolution. IEEE Transactions on Computational Imaging. 10. 915–927. 2 indexed citations
11.
Li, Xinye & Chen Ding. (2023). 融合改进ASPP和极化自注意力的自底向上全景分割. Journal of Image and Graphics. 28(8). 2410–2419.
12.
Ding, Chen, et al.. (2022). Hyperspectral Image Classification Promotion Using Clustering Inspired Active Learning. Remote Sensing. 14(3). 596–596. 15 indexed citations
13.
Ding, Chen, et al.. (2022). Integrating Hybrid Pyramid Feature Fusion and Coordinate Attention for Effective Small Sample Hyperspectral Image Classification. Remote Sensing. 14(10). 2355–2355. 13 indexed citations
14.
Sun, Zhongyu, et al.. (2022). Multi-Resolution Transformer Network for Building and Road Segmentation of Remote Sensing Image. ISPRS International Journal of Geo-Information. 11(3). 165–165. 47 indexed citations
15.
Ding, Chen, et al.. (2021). Multiple Multi-Scale Neural Networks Knowledge Transfer and Integration for Accurate Pixel-Level Retinal Blood Vessel Segmentation. Applied Sciences. 11(24). 11907–11907. 1 indexed citations
16.
Hashemi, Seyyed Mohsen, et al.. (2021). A new model for trustworthy web service QoS prediction. Concurrency and Computation Practice and Experience. 34(6). 1 indexed citations
17.
Ding, Chen, Yu Li, Yue Wen, et al.. (2021). Boosting Few-Shot Hyperspectral Image Classification Using Pseudo-Label Learning. Remote Sensing. 13(17). 3539–3539. 14 indexed citations
18.
Ding, Chen, Ying Li, Yong Xia, et al.. (2017). Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels. Remote Sensing. 9(6). 618–618. 48 indexed citations
19.
Ding, Chen, et al.. (2016). Retweet prediction considering user's difference as an author and retweeter. 852–859. 6 indexed citations
20.
Ding, Chen, et al.. (2009). GA design of large thinned arrays. European Conference on Antennas and Propagation. 492–494. 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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