Zhengjue Wang

670 total citations
24 papers, 361 citations indexed

About

Zhengjue Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Zhengjue Wang has authored 24 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Zhengjue Wang's work include Topic Modeling (7 papers), Multimodal Machine Learning Applications (7 papers) and Image and Signal Denoising Methods (5 papers). Zhengjue Wang is often cited by papers focused on Topic Modeling (7 papers), Multimodal Machine Learning Applications (7 papers) and Image and Signal Denoising Methods (5 papers). Zhengjue Wang collaborates with scholars based in China, United States and France. Zhengjue Wang's co-authors include Bo Chen, Hao Zhang, Hongwei Liu, Ruiying Lu, Pramod K. Varshney, Ziheng Cheng, Xin Yuan, Mingyuan Zhou, Hao Zhang and Guanliang Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.

In The Last Decade

Zhengjue Wang

21 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhengjue Wang China	10	189	126	101	81	51	24	361
Zhi‐Feng Pang China	11	285 1.5×	91 0.7×	39 0.4×	104 1.3×	30 0.6×	53	385
Xuande Zhang China	7	261 1.4×	159 1.3×	59 0.6×	29 0.4×	23 0.5×	28	350
Haoyuan Gao China	8	402 2.1×	104 0.8×	219 2.2×	144 1.8×	67 1.3×	18	543
Yuanyang Bu China	7	261 1.4×	286 2.3×	34 0.3×	105 1.3×	18 0.4×	14	417
Meng Ding China	11	309 1.6×	133 1.1×	44 0.4×	211 2.6×	22 0.4×	28	472
David Helbert France	9	147 0.8×	64 0.5×	31 0.3×	26 0.3×	25 0.5×	28	249
Jing‐Hua Yang China	10	304 1.6×	109 0.9×	78 0.8×	240 3.0×	23 0.5×	35	510
Jiqing Wu Switzerland	8	257 1.4×	150 1.2×	47 0.5×	25 0.3×	38 0.7×	12	332
Peiyao Wang China	3	277 1.5×	158 1.3×	26 0.3×	74 0.9×	65 1.3×	4	381
Keyu Yan China	13	369 2.0×	354 2.8×	40 0.4×	27 0.3×	67 1.3×	19	527

Countries citing papers authored by Zhengjue Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zhengjue Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengjue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengjue Wang. A scholar is included among the top collaborators of Zhengjue 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 Zhengjue Wang. Zhengjue Wang 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, Zhengjue, et al.. (2025). Learning transferable representations by topic guided graph adversarial network. Signal Processing. 238. 110118–110118.

Sun, Jian‐Qiao, Hao Zhang, Ziheng Cheng, et al.. (2025). SnapCap: efficient snapshot compressive scene captioning. 2(1). 11003–11003.

Zhang, Hao, Yucheng Ding, Yi Wang, et al.. (2025). Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models. 30199–30209.

Xue, Yujia, Zhengjue Wang, Hao Zhang, et al.. (2024). Block-modulating video compression: an ultralow complexity image compression encoder for resource-limited platforms. 1(2). 21002–21002. 2 indexed citations

Zhang, Hao, et al.. (2024). MeaCap: Memory-Augmented Zero-shot Image Captioning. 14100–14110. 14 indexed citations

Zhang, Hao, Yulai Cong, Zhengjue Wang, et al.. (2022). Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6558–6569. 2 indexed citations

Chen, Bo, et al.. (2021). Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data. IEEE Transactions on Cybernetics. 52(10). 11156–11171. 4 indexed citations

Zhang, Hao, et al.. (2021). Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6003–6014. 11 indexed citations

Wang, Zhengjue, Hao Zhang, Ziheng Cheng, Bo Chen, & Xin Yuan. (2021). MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing. 2083–2092. 43 indexed citations

10.

Zhang, Hao, Zhengjue Wang, Bo Chen, et al.. (2021). Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Transactions on Neural Networks and Learning Systems. 34(8). 4273–4285. 6 indexed citations

11.

Cheng, Ziheng, Bo Chen, Guanliang Liu, et al.. (2021). Memory-Efficient Network for Large-scale Video Compressive Sensing. 16241–16250. 43 indexed citations

12.

Zhang, Hao, et al.. (2021). EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering. 2954–2967. 3 indexed citations

13.

Wang, Zhengjue, et al.. (2020). Friendly Topic Assistant for Transformer Based Abstractive Summarization. 485–497. 30 indexed citations

14.

Wang, Zhengjue, Bo Chen, Ruiying Lu, et al.. (2020). FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion. IEEE Transactions on Image Processing. 29. 7565–7577. 95 indexed citations

15.

Zhang, Hao, et al.. (2020). Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network. Neural Information Processing Systems. 33. 488–500. 5 indexed citations

16.

Wen, Wei, Bo Chen, Xuefei Cao, et al.. (2020). Infinite Bayesian Max-Margin Discriminant Projection. IEEE Transactions on Cybernetics. 52(5). 3936–3946. 2 indexed citations

17.

Wang, Zhengjue, Bo Chen, Hao Zhang, & Hongwei Liu. (2020). Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model. IEEE Transactions on Neural Networks and Learning Systems. 33(2). 721–735. 25 indexed citations

18.

Wang, Zhengjue, et al.. (2020). Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification.. 3959–3969. 12 indexed citations

19.

Zhang, Hao, et al.. (2019). Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling. arXiv (Cornell University). 4 indexed citations

20.

Zhang, Hao, Bo Chen, Zhengjue Wang, & Hongwei Liu. (2018). Deep Max-Margin Discriminant Projection. IEEE Transactions on Cybernetics. 49(7). 2454–2466. 9 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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