Dongkuan Xu

3.3k total citations · 1 hit paper
50 papers, 1.9k citations indexed

About

Dongkuan Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Dongkuan Xu has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Dongkuan Xu's work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Advanced Neural Network Applications (8 papers). Dongkuan Xu is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Advanced Neural Network Applications (8 papers). Dongkuan Xu collaborates with scholars based in United States, China and United Kingdom. Dongkuan Xu's co-authors include Yingjie Tian, Wei Cheng, X. D. Zhang, B YI, Xiaobing Zhu, Haixia Zhong, Dongsheng Luo, Huidong Zhang, Zhijian Tian and Yajing Liang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Catalysis and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Dongkuan Xu

43 papers receiving 1.8k citations

Hit Papers

A Comprehensive Survey of Clustering Algorithms 2015 2026 2018 2022 2015 250 500 750 1000
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.

  1. A Comprehensive Survey of Clustering Algorithms
    2015 1.2k citations Dongkuan Xu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongkuan Xu United States 15 795 341 290 275 215 50 1.9k
Kewei Cheng United States 16 1.3k 1.7× 451 1.3× 80 0.3× 191 0.7× 234 1.1× 31 2.5k
Weifeng Lv China 32 857 1.1× 321 0.9× 150 0.5× 591 2.1× 655 3.0× 190 3.9k
Michelangelo Ceci Italy 27 875 1.1× 199 0.6× 115 0.4× 144 0.5× 182 0.8× 119 1.7k
Qian Li China 24 691 0.9× 376 1.1× 97 0.3× 269 1.0× 407 1.9× 231 2.3k
Yaqing Wang China 20 1.7k 2.1× 657 1.9× 114 0.4× 166 0.6× 209 1.0× 81 3.3k
Yufeng Wang China 23 506 0.6× 292 0.9× 141 0.5× 514 1.9× 397 1.8× 157 1.8k
Li Pan China 27 838 1.1× 394 1.2× 307 1.1× 383 1.4× 184 0.9× 129 2.5k

Countries citing papers authored by Dongkuan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Dongkuan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongkuan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Dongkuan Xu. A scholar is included among the top collaborators of Dongkuan Xu 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 Dongkuan Xu. Dongkuan Xu 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.
Kong, Zhenglun, Dongkuan Xu, Zhengang Li, et al.. (2025). AutoViT: Achieving Real-Time Vision Transformers on Mobile via Latency-aware Coarse-to-Fine Search. International Journal of Computer Vision. 133(9). 6170–6186. 2 indexed citations
2.
Zhang, Zhengdong, et al.. (2024). Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23250–23258. 12 indexed citations
3.
Jia, Lu, et al.. (2024). Policy Optimization Algorithm with Activation Likelihood-Ratio for Multi-agent Reinforcement Learning. Neural Processing Letters. 56(6). 2 indexed citations
4.
5.
Dong, Peiyan, Yanyu Li, Dongkuan Xu, et al.. (2024). EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 3949–3960. 10 indexed citations
6.
Liu, Yuchen, et al.. (2024). Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks. IEEE Journal on Selected Areas in Communications. 42(11). 3306–3320. 12 indexed citations
7.
Luo, Dongsheng, Tianxiang Zhao, Wei Cheng, et al.. (2024). Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5245–5259. 6 indexed citations
8.
Zhang, Chuxu, Dongkuan Xu, Kaize Ding, et al.. (2024). RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. 6749–6750.
9.
Luo, Dongsheng, Wei Cheng, Yingheng Wang, et al.. (2023). Time Series Contrastive Learning with Information-Aware Augmentations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4534–4542. 47 indexed citations
10.
Xie, Yiqun, Han Bao, Xiaowei Jia, et al.. (2023). Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14575–14583. 7 indexed citations
11.
Liu, Ming, Guangyu Sun, Zhiguo Zhou, et al.. (2023). Assessing Environmental Oil Spill Based on Fluorescence Images of Water Samples and Deep Learning. Journal of Environmental Informatics. 9 indexed citations
12.
Zhang, Chuxu, Dongkuan Xu, Mojan Javaheripi, et al.. (2023). RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. 5901–5902.
13.
Zhang, Qin, Shangsi Chen, Dongkuan Xu, et al.. (2023). A Survey for Efficient Open Domain Question Answering. 14447–14465. 14 indexed citations
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16.
Lei, Bowen, et al.. (2023). Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. 1–6. 2 indexed citations
17.
Liu, Yuchen, Mingzhe Chen, Dongkuan Xu, Zhaohui Yang, & Shangqing Zhao. (2023). E-App: Adaptive mmWave Access Point Planning with Environmental Awareness in Wireless LANs. 1–10.
18.
Xu, Dongkuan, Tianjia Chen, & Wei Xu. (2015). A support vector machine-based ensemble prediction for crude oil price with VECM and STEPMRS. International Journal of Global Energy Issues. 38(1/2/3). 18–18. 3 indexed citations
19.
Xu, Dongkuan, et al.. (2006). Chaos-based M-ary digital communication technique using controlled projective synchronisation. IEE Proceedings - Circuits Devices and Systems. 153(4). 357–357. 33 indexed citations
20.
Xu, Dongkuan & Steven R. Bishop. (1996). Self-locating control of chaotic systems using Newton algorithm. Physics Letters A. 210(4-5). 273–278. 32 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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