Zhengming Ding

9.1k total citations · 4 hit papers
144 papers, 5.7k citations indexed

About

Zhengming Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Zhengming Ding has authored 144 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Computer Vision and Pattern Recognition, 96 papers in Artificial Intelligence and 15 papers in Computational Mechanics. Recurrent topics in Zhengming Ding's work include Domain Adaptation and Few-Shot Learning (70 papers), Multimodal Machine Learning Applications (37 papers) and Face and Expression Recognition (25 papers). Zhengming Ding is often cited by papers focused on Domain Adaptation and Few-Shot Learning (70 papers), Multimodal Machine Learning Applications (37 papers) and Face and Expression Recognition (25 papers). Zhengming Ding collaborates with scholars based in United States, China and Mexico. Zhengming Ding's co-authors include Yun Fu, Handong Zhao, Ming Shao, Zhiqiang Tao, Haifeng Xia, Ke Lü, Hongfu Liu, Shuang Li, Taojiannan Yang and Matías Mendieta and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Zhengming Ding

139 papers receiving 5.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

3D Human Pose Estimation with Spatial and Temporal Transformers

2021 378 citations Zhengming Ding et al. profile →
Multi-View Clustering via Deep Matrix Factorization

2017 373 citations Zhengming Ding, Yun Fu et al. profile →
MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

2021 311 citations Tongxin Wang, Wei Shao et al. Nature Communications profile →
Maximum Density Divergence for Domain Adaptation

2020 255 citations Zhengming Ding et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhengming Ding United States	42	3.5k	3.5k	475	397	347	144	5.7k
Yuxin Wu China	8	4.1k 1.2×	4.6k 1.3×	588 1.2×	389 1.0×	582 1.7×	20	7.7k
Judy Hoffman United States	21	4.7k 1.3×	4.4k 1.3×	511 1.1×	336 0.8×	705 2.0×	48	7.4k
Eric Tzeng United States	11	3.7k 1.0×	3.6k 1.1×	427 0.9×	258 0.6×	624 1.8×	18	6.1k
Christoph H. Lampert Austria	28	4.8k 1.3×	4.0k 1.2×	464 1.0×	215 0.5×	604 1.7×	78	6.6k
Mingkui Tan China	40	5.4k 1.5×	3.3k 0.9×	917 1.9×	582 1.5×	473 1.4×	151	8.1k
Alexander G. Hauptmann United States	44	5.2k 1.5×	3.4k 1.0×	665 1.4×	446 1.1×	271 0.8×	149	8.0k
Timothy M. Hospedales United Kingdom	38	5.7k 1.6×	3.5k 1.0×	393 0.8×	725 1.8×	473 1.4×	132	7.9k
Joey Tianyi Zhou Singapore	42	3.7k 1.0×	3.4k 1.0×	712 1.5×	385 1.0×	232 0.7×	172	6.5k
Guanbin Li China	43	5.5k 1.5×	2.5k 0.7×	518 1.1×	180 0.5×	355 1.0×	192	7.4k
Lei Zhu China	42	4.2k 1.2×	2.8k 0.8×	439 0.9×	159 0.4×	251 0.7×	206	6.3k

Countries citing papers authored by Zhengming Ding

Since Specialization

Citations

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

Fields of papers citing papers by Zhengming Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengming Ding

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

Wang, Wei, Hanyang Li, Cong Wang, et al.. (2025). Deep Label Propagation With Nuclear Norm Maximization for Visual Domain Adaptation. IEEE Transactions on Image Processing. 34. 1246–1258.

Ding, Zhengming, et al.. (2025). eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases. ArXiv.org. 12949–12956.

Wang, Yuheng, et al.. (2024). Rapid prediction of grain boundary network evolution in nanomaterials utilizing a generative machine learning approach. Extreme Mechanics Letters. 70. 102172–102172. 5 indexed citations

Zhang, Zhengming, Zhengming Ding, & Renran Tian. (2024). Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention. IEEE Transactions on Image Processing. 33. 4716–4727. 2 indexed citations

Chen, Zhao, Zhengming Ding, Qiuying Sha, et al.. (2024). CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. Computers in Biology and Medicine. 170. 108058–108058. 9 indexed citations

Ding, Zhengming, et al.. (2023). RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. 4118–4126. 8 indexed citations

Tian, Yi, et al.. (2022). Differential Refinement Network for Zero-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 4164–4178. 5 indexed citations

Wang, Wei, Haojie Li, Zhengming Ding, et al.. (2021). Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 34(1). 264–277. 82 indexed citations

Wang, Tongxin, Wei Shao, Zhi Huang, et al.. (2021). MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification. Nature Communications. 12(1). 3445–3445. 311 indexed citations breakdown →

10.

Ding, Zhengming, et al.. (2021). Implicit Semantic Response Alignment for Partial Domain Adaptation. Neural Information Processing Systems. 34. 4 indexed citations

11.

Li, Shuang, Chi Harold Liu, Qiuxia Lin, et al.. (2020). Deep Residual Correction Network for Partial Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(7). 2329–2344. 114 indexed citations

12.

Li, Kai, Zhengming Ding, Kunpeng Li, Yulun Zhang, & Yun Fu. (2020). Vehicle and Person Re-Identification With Support Neighbor Loss. IEEE Transactions on Neural Networks and Learning Systems. 33(2). 826–838. 24 indexed citations

13.

Li, Shuang, Chi Harold Liu, Limin Su, et al.. (2020). Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 31(11). 4842–4856. 66 indexed citations

14.

Yu, Weiren, Zhengming Ding, Chunming Hu, & Hongfu Liu. (2019). Knowledge Reused Outlier Detection. IEEE Access. 7. 43763–43772. 8 indexed citations

15.

Ding, Zhengming & Ming Shao. (2019). Robust Knowledge Discovery via Low-rank Modeling.. arXiv (Cornell University). 1 indexed citations

16.

Ding, Zhengming, Nasser M. Nasrabadi, & Yun Fu. (2018). Semi-supervised Deep Domain Adaptation via Coupled Neural Networks. IEEE Transactions on Image Processing. 27(11). 5214–5224. 53 indexed citations

17.

Kong, Yu, Zhengming Ding, Jun Li, & Yun Fu. (2017). Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Transactions on Image Processing. 26(6). 3028–3037. 54 indexed citations

18.

Wang, Shuyang, Zhengming Ding, & Yun Fu. (2016). Coupled marginalized auto-encoders for cross-domain multi-view learning. International Joint Conference on Artificial Intelligence. 2125–2131. 31 indexed citations

19.

Shao, Ming, Sheng Li, Zhengming Ding, & Yun Fu. (2015). Deep linear coding for fast graph clustering. International Conference on Artificial Intelligence. 3798–3804. 26 indexed citations

20.

Ding, Zhengming, Ming Shao, & Yun Fu. (2015). Deep low-rank coding for transfer learning. International Conference on Artificial Intelligence. 3453–3459. 56 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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