Kai Ding

436 total citations
27 papers, 277 citations indexed

About

Kai Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Software. According to data from OpenAlex, Kai Ding has authored 27 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Software. Recurrent topics in Kai Ding's work include Handwritten Text Recognition Techniques (14 papers), Image Processing and 3D Reconstruction (8 papers) and Image Retrieval and Classification Techniques (7 papers). Kai Ding is often cited by papers focused on Handwritten Text Recognition Techniques (14 papers), Image Processing and 3D Reconstruction (8 papers) and Image Retrieval and Classification Techniques (7 papers). Kai Ding collaborates with scholars based in China, Germany and Malaysia. Kai Ding's co-authors include Lianwen Jin, Xue Gao, Yan Gao, Gang Liu, Zhibin Huang, Zhiyi Zhang, Andrey Morozov, Klaus Janschek, Ronggui Wang and Juan Yang and has published in prestigious journals such as IEEE Access, Pattern Recognition and Neurocomputing.

In The Last Decade

Kai Ding

26 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Ding China 10 227 75 60 33 16 27 277
Pawan Harish India 6 113 0.5× 48 0.6× 14 0.2× 33 1.0× 22 1.4× 13 196
Ritesh Sarkhel United States 8 194 0.9× 108 1.4× 112 1.9× 23 0.7× 10 0.6× 15 276
Dennis Park United States 7 191 0.8× 96 1.3× 4 0.1× 19 0.6× 51 3.2× 10 308
Nils T. Siebel Germany 7 89 0.4× 80 1.1× 13 0.2× 3 0.1× 15 0.9× 11 168
O. Matan United States 5 171 0.8× 139 1.9× 40 0.7× 15 0.5× 10 0.6× 8 265
Shangxuan Tian Singapore 10 607 2.7× 126 1.7× 195 3.3× 14 0.4× 10 0.6× 14 646
Keith Hanna United States 9 78 0.3× 48 0.6× 21 0.3× 4 0.1× 22 1.4× 27 203
Edel García-Reyes China 8 311 1.4× 46 0.6× 23 0.4× 69 2.1× 13 0.8× 21 360
Ming-Fang Weng Taiwan 9 213 0.9× 61 0.8× 8 0.1× 10 0.3× 31 1.9× 18 249

Countries citing papers authored by Kai Ding

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Ding. A scholar is included among the top collaborators of Kai 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 Kai Ding. Kai 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, Kai, et al.. (2025). YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery. IEEE Access. 13. 19937–19945. 1 indexed citations
2.
Tao, Ming, et al.. (2024). Energy-Efficient and Load-Balanced Digital Twin Deployment In DITEN-Empowered IIoT. 452–459. 1 indexed citations
3.
Ubul, Kurban, et al.. (2024). Survey on text analysis and recognition for multiethnic scripts. Journal of Image and Graphics. 29(6). 1685–1713.
4.
Li, Zhe, et al.. (2023). A tree-based model with branch parallel decoding for handwritten mathematical expression recognition. Pattern Recognition. 149. 110220–110220. 3 indexed citations
5.
Liang, Lingyu, et al.. (2023). Appearance Enhancement for Camera-Captured Document Images in the Wild. IEEE Transactions on Artificial Intelligence. 5(5). 2319–2330. 10 indexed citations
6.
Zhang, Jiaxin, et al.. (2022). Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild. Proceedings of the 30th ACM International Conference on Multimedia. 2805–2815. 17 indexed citations
7.
8.
Morozov, Andrey, Silvia Vock, Kai Ding, Stefan Voß, & Klaus Janschek. (2019). Industry 4.0: Emerging challenges for dependability analysis. 4(5). 206–209. 2 indexed citations
9.
Ding, Kai, et al.. (2016). Automatic Transformation of UML System Models for Model-based Error Propagation Analysis of Mechatronic Systems. IFAC-PapersOnLine. 49(21). 439–446. 7 indexed citations
10.
Wang, Ronggui, Kai Ding, Juan Yang, & Lixia Xue. (2016). A novel method for image classification based on bag of visual words. Journal of Visual Communication and Image Representation. 40. 24–33. 13 indexed citations
11.
Chen, Weihai, Changchen Zhao, Kai Ding, Xingming Wu, & Peter C. Y. Chen. (2015). Hierarchical discriminant manifold learning for dimensionality reduction and image classification. Journal of Electronic Imaging. 24(5). 53015–53015. 2 indexed citations
12.
Ding, Kai, et al.. (2013). SPM based on normalized cut for image classification. Beijing Hangkong Hangtian Daxue xuebao. 39(10). 1342. 1 indexed citations
13.
Chen, Weihai, Kai Ding, & Xingming Wu. (2013). Dimension reduction based SPM for image classification. 290. 3755–3759. 1 indexed citations
14.
Liu, Gang, et al.. (2010). A New Approach for Synthesis and Recognition of Large Scale Handwritten Chinese Words. 26. 571–575. 1 indexed citations
15.
Jin, Lianwen, et al.. (2010). SCUT-COUCH2009—a comprehensive online unconstrained Chinese handwriting database and benchmark evaluation. International Journal on Document Analysis and Recognition (IJDAR). 14(1). 53–64. 54 indexed citations
16.
Ding, Kai & Lianwen Jin. (2010). Incremental MQDF Learning for Writer Adaptive Handwriting Recognition. 26. 559–564. 4 indexed citations
17.
Zhang, Zhiyi, Lianwen Jin, Kai Ding, & Xue Gao. (2009). Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition. 763–767. 37 indexed citations
18.
Huang, Zhibin, Kai Ding, Lianwen Jin, & Xue Gao. (2009). Writer Adaptive Online Handwriting Recognition Using Incremental Linear Discriminant Analysis. 11. 91–95. 14 indexed citations
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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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