Defang Chen

1.3k total citations
26 papers, 732 citations indexed

About

Defang Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Defang Chen has authored 26 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Defang Chen's work include Domain Adaptation and Few-Shot Learning (16 papers), Advanced Neural Network Applications (10 papers) and Advanced Graph Neural Networks (7 papers). Defang Chen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (16 papers), Advanced Neural Network Applications (10 papers) and Advanced Graph Neural Networks (7 papers). Defang Chen collaborates with scholars based in China, Germany and Spain. Defang Chen's co-authors include Chun Chen, Feng Yan, Jian-Ping Mei, Can Wang, Can Wang, Hailin Zhang, Yuan Zhang, Zhe Wang, Yan Feng and Kun Kuang and has published in prestigious journals such as Expert Systems with Applications, International Journal of Computer Vision and Journal of Alloys and Compounds.

In The Last Decade

Defang Chen

22 papers receiving 720 citations

Peers

Defang Chen
Tianlong Chen United States
Hanrui Wu China
Elena Voita Netherlands
Salima Ouadfel Algeria
Da-Wei Zhou China
Melody Y. Guan United States
Tianlong Chen United States
Defang Chen
Citations per year, relative to Defang Chen Defang Chen (= 1×) peers Tianlong Chen

Countries citing papers authored by Defang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Defang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Defang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Defang Chen. A scholar is included among the top collaborators of Defang Chen 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 Defang Chen. Defang Chen 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.
Zhou, Zhenyu, et al.. (2024). Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. 7777–7786. 11 indexed citations
2.
3.
Chen, Defang, et al.. (2024). Multi-exit self-distillation with appropriate teachers. Frontiers of Information Technology & Electronic Engineering. 25(4). 585–599.
4.
Wang, Can, et al.. (2023). Online adversarial knowledge distillation for graph neural networks. Expert Systems with Applications. 237. 121671–121671. 9 indexed citations
5.
Chen, Defang, et al.. (2023). Knowledge Distillation with Deep Supervision. 1–8. 1 indexed citations
6.
Chen, Defang, et al.. (2023). Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12528–12541. 16 indexed citations
7.
Chen, Defang, et al.. (2023). Online cross-layer knowledge distillation on graph neural networks with deep supervision. Neural Computing and Applications. 35(30). 22359–22374. 3 indexed citations
8.
Mei, Jian-Ping, et al.. (2023). Output Regularization With Cluster-Based Soft Targets. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11463–11474. 1 indexed citations
9.
Chen, Defang, et al.. (2023). Accelerating Diffusion Sampling with Classifier-based Feature Distillation. 810–815. 3 indexed citations
10.
Chen, Defang, et al.. (2023). Holistic Weighted Distillation for Semantic Segmentation. 396–401.
11.
Chen, Defang, Jian-Ping Mei, Hailin Zhang, et al.. (2022). Knowledge Distillation with the Reused Teacher Classifier. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11923–11932. 111 indexed citations
12.
Wang, Can, et al.. (2022). Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. Proceedings of the ACM Web Conference 2022. 1631–1639. 25 indexed citations
13.
Wang, Can, et al.. (2022). Online Adversarial Knowledge Distillation for Graph Neural Networks. SSRN Electronic Journal. 2 indexed citations
14.
Zhang, Hailin, Defang Chen, & Can Wang. (2022). Confidence-Aware Multi-Teacher Knowledge Distillation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4498–4502. 52 indexed citations
15.
Chen, Defang, et al.. (2022). Domain-Specific Bias Filtering for Single Labeled Domain Generalization. International Journal of Computer Vision. 131(2). 552–571. 19 indexed citations
16.
Wang, Can, Defang Chen, Jian-Ping Mei, et al.. (2022). SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. IEEE Transactions on Knowledge and Data Engineering. 1–1. 21 indexed citations
17.
Chen, Defang, Jian-Ping Mei, Yuan Zhang, et al.. (2021). Cross-Layer Distillation with Semantic Calibration. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 7028–7036. 176 indexed citations
18.
Chen, Defang, Guanghui Min, Yan Wu, Huashun Yu, & Lin Zhang. (2015). The preparation and composition design of boron-rich lanthanum hexaboride target for sputtering. Journal of Alloys and Compounds. 638. 380–386. 7 indexed citations
19.
Wu, Yan, Guanghui Min, Defang Chen, Lin Zhang, & Huashun Yu. (2014). The correlation of stoichiometry between boron-rich LaB6 targets and LaB6 films. Ceramics International. 41(1). 1005–1013. 15 indexed citations
20.
Lou, Sen‐Yue & Defang Chen. (1993). Deforming the Travelling Wave Solutions of the KdV Equation to Those of the Generalized Fifth Order KdV Equation. Communications in Theoretical Physics. 19(2). 247–252. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tianlong Chen Breakdown of academic impact, for papers by Hanrui Wu Breakdown of academic impact, for papers by Elena Voita Breakdown of academic impact, for papers by Salima Ouadfel Breakdown of academic impact, for papers by Da-Wei Zhou Breakdown of academic impact, for papers by Melody Y. Guan
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