Donglin Wang

1.0k total citations
43 papers, 601 citations indexed

About

Donglin Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Donglin Wang has authored 43 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Donglin Wang's work include Domain Adaptation and Few-Shot Learning (18 papers), Multimodal Machine Learning Applications (12 papers) and Advanced Graph Neural Networks (9 papers). Donglin Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (18 papers), Multimodal Machine Learning Applications (12 papers) and Advanced Graph Neural Networks (9 papers). Donglin Wang collaborates with scholars based in China, Australia and United States. Donglin Wang's co-authors include Siteng Huang, Ao Tang, Xuehan Wu, Zhengyu Chen, Teng Xiao, Zhengyu Chen, Min Zhang, Suhang Wang, Feng Zhao and Yu Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Robotics and Autonomous Systems.

In The Last Decade

Donglin Wang

40 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donglin Wang China	11	361	153	90	84	82	43	601
Xingchen Hu China	16	312 0.9×	92 0.6×	80 0.9×	52 0.6×	59 0.7×	41	516
Alessandra Mileo Ireland	15	277 0.8×	165 1.1×	134 1.5×	55 0.7×	69 0.8×	49	672
Akira Notsu Japan	11	374 1.0×	217 1.4×	120 1.3×	104 1.2×	43 0.5×	150	637
Zeyi Wen Australia	11	361 1.0×	91 0.6×	50 0.6×	107 1.3×	34 0.4×	47	602
Chaoyang He United States	11	516 1.4×	110 0.7×	107 1.2×	58 0.7×	30 0.4×	22	711
Yanwei Yu China	15	357 1.0×	162 1.1×	206 2.3×	95 1.1×	30 0.4×	50	609
Bilian Chen China	11	167 0.5×	78 0.5×	97 1.1×	41 0.5×	71 0.9×	43	508
Yilun Jin China	12	512 1.4×	81 0.5×	86 1.0×	34 0.4×	19 0.2×	28	701
Haifeng Chen United States	13	383 1.1×	126 0.8×	164 1.8×	190 2.3×	61 0.7×	47	674

Countries citing papers authored by Donglin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Donglin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donglin Wang

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

All Works

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20 of 20 papers shown

Zhao, Han, et al.. (2025). Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference. Proceedings of the AAAI Conference on Artificial Intelligence. 39(10). 10421–10429. 16 indexed citations

Zhang, Shanshan, et al.. (2024). GSC: A graph-based skill composition framework for robot learning. Robotics and Autonomous Systems. 182. 104787–104787. 1 indexed citations

Liu, Dongcheng, et al.. (2024). Research on flow field reconstruction of complex fault-block reservoir during ultra-high water cut period. SHILAP Revista de lepidopterología. 7(1).

Huang, Siteng, et al.. (2024). ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification. 1583–1592. 5 indexed citations

Zhang, Ziqi, et al.. (2024). Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 13945–13953. 3 indexed citations

Zhang, Min, et al.. (2024). RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning. 1–6. 2 indexed citations

Wang, Donglin, et al.. (2024). GeRM: A Generalist Robotic Model with Mixture-of-experts for Quadruped Robot. 11879–11886. 6 indexed citations

Zhang, Min, et al.. (2024). Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 729–737. 25 indexed citations

Wang, Donglin, et al.. (2023). Creating Universum for class imbalance via locality and its application in multiview subspace learning. Information Sciences. 647. 119478–119478. 3 indexed citations

10.

Sun, Meijun, Min Zhang, Zhengyu Chen, et al.. (2023). Multi-Level Correlation Network For Few-Shot Image Classification. arXiv (Cornell University). 2909–2914. 2 indexed citations

11.

Huang, Siteng, et al.. (2023). Reference-Limited Compositional Zero-Shot Learning. 443–451. 1 indexed citations

12.

Wang, Donglin, et al.. (2022). End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2087–2093. 6 indexed citations

13.

Zhao, Feng, et al.. (2021). One-Shot Imitation Learning on Heterogeneous Associated Tasks via Conjugate Task Graph. 1–8. 1 indexed citations

14.

Chen, Zhengyu, et al.. (2021). Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 35(5). 4010–4018. 31 indexed citations

15.

Huang, Siteng, et al.. (2021). Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7840–7847. 35 indexed citations

16.

Zhao, Feng, et al.. (2021). Multi-Initialization Graph Meta-Learning for Node Classification. 402–410. 4 indexed citations

17.

Chen, Zhengyu & Donglin Wang. (2021). Multi-Initialization Meta-Learning with Domain Adaptation. 1390–1394. 15 indexed citations

18.

Liu, Jinxin, et al.. (2020). Independent Skill Transfer for Deep Reinforcement Learning. 2901–2907. 6 indexed citations

19.

Wang, Donglin, et al.. (2019). Time Series Prediction with Interpretable Data Reconstruction. 2133–2136. 4 indexed citations

20.

Wang, Donglin & Yajie Li. (2010). A novel nonlinear RBF neural network ensemble model for financial time series forecasting. 3. 86–90. 6 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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