Weiping Wang

3.4k total citations
142 papers, 1.8k citations indexed

About

Weiping Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Weiping Wang has authored 142 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 68 papers in Computer Vision and Pattern Recognition and 19 papers in Computer Networks and Communications. Recurrent topics in Weiping Wang's work include Advanced Image and Video Retrieval Techniques (36 papers), Multimodal Machine Learning Applications (26 papers) and Domain Adaptation and Few-Shot Learning (20 papers). Weiping Wang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (36 papers), Multimodal Machine Learning Applications (26 papers) and Domain Adaptation and Few-Shot Learning (20 papers). Weiping Wang collaborates with scholars based in China, Finland and Netherlands. Weiping Wang's co-authors include Yu Zhou, Bo Li, Dayan Wu, Zheng Lin, Dongbao Yang, Yucan Zhou, Zhi Qiao, Peng Fu, Wanqian Zhang and Qixiang Ye and has published in prestigious journals such as Advanced Energy Materials, IEEE Transactions on Image Processing and International Journal of Hydrogen Energy.

In The Last Decade

Weiping Wang

132 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiping Wang China	24	1.1k	846	129	98	92	142	1.8k
Yichao Wu China	15	725 0.7×	561 0.7×	36 0.3×	114 1.2×	96 1.0×	53	1.2k
Gang Fu China	15	533 0.5×	405 0.5×	463 3.6×	127 1.3×	98 1.1×	64	1.2k
Sangmin Lee South Korea	13	315 0.3×	275 0.3×	172 1.3×	263 2.7×	39 0.4×	66	799
Ruifan Li China	18	715 0.6×	664 0.8×	65 0.5×	29 0.3×	68 0.7×	61	1.4k
Thomas E. Potok United States	18	209 0.2×	725 0.9×	244 1.9×	200 2.0×	21 0.2×	104	1.3k
Yuexin Wu China	14	262 0.2×	797 0.9×	225 1.7×	71 0.7×	7 0.1×	59	1.2k
Ming Lin United States	15	550 0.5×	399 0.5×	71 0.6×	31 0.3×	44 0.5×	54	906
Jia Chen China	17	353 0.3×	564 0.7×	196 1.5×	93 0.9×	38 0.4×	96	1.1k
Christopher Morris United States	14	447 0.4×	566 0.7×	118 0.9×	68 0.7×	24 0.3×	35	1.3k

Countries citing papers authored by Weiping Wang

Since Specialization

Citations

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

Fields of papers citing papers by Weiping Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Wang

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

Yin, Rong, et al.. (2025). Multi-Modal Molecular Representation Learning via Structure Awareness. IEEE Transactions on Image Processing. 34. 3225–3238.

Li, Bo, et al.. (2025). CIRAG: Retrieval-Augmented Language Model with Collective Intelligence. 1316–1326.

Ma, Hui, et al.. (2025). RevokAll: Hardware-Assisted Revocable Data Sharing Framework for Full Data Traffic With Rapid Deployment in Cloud-Edge. IEEE Transactions on Information Forensics and Security. 20. 6854–6867.

Zhou, Yucan, et al.. (2025). Adaptive Diversity Induced Reweighting for long-tailed classification. Neural Networks. 189. 107586–107586.

Liu, Ruyue, Rong Yin, Yong Liu, & Weiping Wang. (2024). Unbiased and augmentation-free self-supervised graph representation learning. Pattern Recognition. 149. 110274–110274. 4 indexed citations

Zhang, Wanqian, et al.. (2024). Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization. 3587–3596. 1 indexed citations

Zhuang, Liansheng, et al.. (2024). Private Gradient Estimation is Useful for Generative Modeling. 282–290.

Zhang, Yuan, et al.. (2023). Filling in the Blank: Rationale-Augmented Prompt Tuning for TextVQA. 1261–1272. 5 indexed citations

Li, Jian, Yong Liu, & Weiping Wang. (2023). Optimal Convergence for Agnostic Kernel Learning With Random Features. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1779–1789.

10.

Liu, Yong, et al.. (2023). Towards practical differential privacy in data analysis: Understanding the effect of epsilon on utility in private ERM. Computers & Security. 128. 103147–103147. 7 indexed citations

11.

Chen, Xiaojun, et al.. (2023). Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. 2087–2098. 13 indexed citations

12.

Liu, Yuanxin, Fandong Meng, Zheng Lin, et al.. (2022). Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. 6650–6662. 16 indexed citations

13.

Li, Jian, et al.. (2022). Non-IID Federated Learning With Sharper Risk Bound. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6906–6917. 7 indexed citations

14.

Li, Jian, Yong Liu, & Weiping Wang. (2022). Convolutional spectral kernel learning with generalization guarantees. Artificial Intelligence. 313. 103803–103803. 5 indexed citations

15.

Ge, Shiming, et al.. (2022). Deepfake Video Detection via Predictive Representation Learning. ACM Transactions on Multimedia Computing Communications and Applications. 18(2s). 1–21. 39 indexed citations

16.

Yin, Rong, Yong Liu, Weiping Wang, & Dan Meng. (2019). Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3512–3524. 12 indexed citations

17.

Li, Jian, Yong Liu, Rong Yin, et al.. (2018). Multi-Class Learning: From Theory to Algorithm. Neural Information Processing Systems. 31. 1586–1595. 27 indexed citations

18.

Wang, Weiping. (2010). Research on ABMS based wartime spares support adaptation decision. Systems engineering and electronics. 3 indexed citations

19.

Wang, Weiping. (2010). Research and application of an ontology for aircraft route planning. Systems engineering and electronics. 1 indexed citations

20.

Wang, Weiping. (2009). Hydrogen Permeation and Chemical Stability of a Ni-BaCe_(0.6)Zr_(0.2)Nd_(0.2)O_(3-δ) Cermet Membrane. CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION). 1 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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