Tianyu Ding

439 total citations
15 papers, 164 citations indexed

About

Tianyu Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Tianyu Ding has authored 15 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Tianyu Ding's work include Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (2 papers) and Smart Agriculture and AI (2 papers). Tianyu Ding is often cited by papers focused on Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (2 papers) and Smart Agriculture and AI (2 papers). Tianyu Ding collaborates with scholars based in United States, China and United Kingdom. Tianyu Ding's co-authors include Luming Liang, Zhicheng Geng, Zhihui Zhu, Jing Huo, Yuxin Li, Yang Gao, Jiebo Luo, Wenbin Li, Renè Vidal and Jingting Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Soil and Tillage Research.

In The Last Decade

Tianyu Ding

13 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianyu Ding United States 4 128 35 22 19 11 15 164
Heming Sun Japan 5 141 1.1× 17 0.5× 24 1.1× 30 1.6× 4 0.4× 14 204
Jingwen He China 8 149 1.2× 48 1.4× 20 0.9× 9 0.5× 5 0.5× 16 187
Qiqi Hou China 7 226 1.8× 22 0.6× 15 0.7× 35 1.8× 8 0.7× 9 236
Majed El Helou Switzerland 6 143 1.1× 93 2.7× 12 0.5× 11 0.6× 10 0.9× 18 170
Thibault Napoléon France 7 112 0.9× 20 0.6× 17 0.8× 35 1.8× 5 0.5× 19 151
Seung-Min Mun South Korea 9 266 2.1× 38 1.1× 28 1.3× 49 2.6× 12 1.1× 10 288
Jae-Ho Lee South Korea 7 129 1.0× 24 0.7× 19 0.9× 34 1.8× 4 0.4× 42 172
Ziqi Huang Singapore 6 169 1.3× 10 0.3× 40 1.8× 19 1.0× 11 1.0× 11 221
Gangyi Jiang China 11 328 2.6× 71 2.0× 8 0.4× 32 1.7× 17 1.5× 32 345
Abdelaziz Djelouah Switzerland 7 246 1.9× 54 1.5× 13 0.6× 66 3.5× 30 2.7× 14 262

Countries citing papers authored by Tianyu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Tianyu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyu Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyu Ding. A scholar is included among the top collaborators of Tianyu 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 Tianyu Ding. Tianyu Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Li, Wenbin, Tianyu Ding, Lei Wang, et al.. (2025). ONNXPruner: ONNX-Based General Model Pruning Adapter. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5806–5817. 1 indexed citations
2.
Ding, Tianyu, Jing Huo, Yuxin Li, et al.. (2025). 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6832–6852. 14 indexed citations
3.
Zheng, Xingming, et al.. (2025). An adaptive recognition method for crop row orientation in dry land by combining morphological and texture features. Soil and Tillage Research. 252. 106576–106576.
5.
Ding, Tianyu, et al.. (2024). DREAM: Diffusion Rectification and Estimation-Adaptive Models. 8342–8351. 1 indexed citations
6.
Li, Wenbin, Tianyu Ding, Lei Wang, et al.. (2024). Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. 17057–17066. 2 indexed citations
7.
Ding, Tianyu, et al.. (2024). Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 13431–13445. 1 indexed citations
8.
Bao, Yanqi, et al.. (2023). Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. 2180–2188. 3 indexed citations
9.
Ma, Jing, et al.. (2023). Crop weed image recognition of UAV based on improved HRNet-OCRNet. 143–143. 1 indexed citations
10.
Wang, Jiwen, et al.. (2022). Conversation and recommendation: knowledge-enhanced personalized dialog system. Knowledge and Information Systems. 65(1). 261–279. 5 indexed citations
11.
Geng, Zhicheng, et al.. (2022). RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17420–17430. 71 indexed citations
12.
Ding, Tianyu, Zhihui Zhu, Manolis C. Tsakiris, Renè Vidal, & Daniel P. Robinson. (2021). Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. International Conference on Artificial Intelligence and Statistics. 2944–2952. 3 indexed citations
13.
Ding, Tianyu, Zhihui Zhu, Renè Vidal, & Daniel P. Robinson. (2021). Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. 2739–2748. 1 indexed citations
14.
Ding, Tianyu, et al.. (2021). CDFI: Compression-Driven Network Design for Frame Interpolation. 7997–8007. 59 indexed citations
15.
Ding, Tianyu, et al.. (2017). Sentiment Analysis and Political Party Classification in 2016 U.S. President Debates in Twitter. D-Scholarship@Pitt (University of Pittsburgh). 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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