Mengying Jiang

565 total citations · 2 hit papers
24 papers, 395 citations indexed

About

Mengying Jiang is a scholar working on Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mengying Jiang has authored 24 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 14 papers in Media Technology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mengying Jiang's work include Remote-Sensing Image Classification (13 papers), Machine Learning and ELM (9 papers) and Face and Expression Recognition (7 papers). Mengying Jiang is often cited by papers focused on Remote-Sensing Image Classification (13 papers), Machine Learning and ELM (9 papers) and Face and Expression Recognition (7 papers). Mengying Jiang collaborates with scholars based in China, United Kingdom and Spain. Mengying Jiang's co-authors include Yuanchao Su, Xu Sun, Lianru Gao, Antonio Plaza, Bing Zhang, Guizhong Liu, Xi-Le Zhao, Pengfei Li, Xiang Xu and Bingo Wing‐Kuen Ling and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

Mengying Jiang

23 papers receiving 386 citations

Hit Papers

align trajectories

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.

NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification

2022 139 citations Yuanchao Su, Lianru Gao et al. IEEE Transactions on Cybernetics profile →
GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification

2024 74 citations Mengying Jiang, Yuanchao Su et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Mengying Jiang

CVPR

Cédric Richard France

Xiaohua Zhang China

Jianqiang Gao China

Xianchang Yang China

Vineetha Menon United States

Yang‐Jun Deng China

Mohsin Ali Pakistan

Emmanuel Arzuaga Puerto Rico

Bo Du China

Cédric Richard France

Mengying Jiang

162 ×0.6

56 ×0.5

CVPR

86 ×0.9

76 ×0.8

9 ×0.3

Citations per year, relative to Mengying Jiang Mengying Jiang (= 1×) peers Cédric Richard

Countries citing papers authored by Mengying Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Mengying Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengying Jiang

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

Sheng, Li, Yuanchao Su, Xu Sun, et al.. (2025). DMSN: A Deep Multistream Network for Hyperspectral Image Super-Resolution. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations

Jin, Weiqiang, Ningwei Wang, Tao Tao, et al.. (2025). A prompting multi-task learning-based veracity dissemination consistency reasoning augmentation for few-shot fake news detection. Engineering Applications of Artificial Intelligence. 144. 110122–110122. 1 indexed citations

Jiang, Mengying, Guizhong Liu, Yuanchao Su, Weiqiang Jin, & Biao Zhao. (2025). Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions. IEEE Transactions on Big Data. 11(3). 961–975. 3 indexed citations

Su, Yuanchao, Lianru Gao, Antonio Plaza, et al.. (2025). SRViT: Self-Supervised Relation-Aware Vision Transformer for Hyperspectral Unmixing. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 17585–17598. 7 indexed citations

Zhang, Mei, Yuanyuan Liu, Jiayu Liu, et al.. (2024). Extraction methods of dietary fiber and effect on bioactivity: A review. Process Biochemistry. 146. 451–461. 6 indexed citations

Jiang, Mengying, et al.. (2024). Self-attention empowered graph convolutional network for structure learning and node embedding. Pattern Recognition. 153. 110537–110537. 8 indexed citations

Jin, Weiqiang, Mengying Jiang, Tao Tao, et al.. (2024). Can Rumor Detection Enhance Fact Verification? Unraveling Cross-Task Synergies Between Rumor Detection and Fact Verification. IEEE Transactions on Big Data. 11(3). 1171–1187. 2 indexed citations

Jiang, Mengying, Yuanchao Su, Lianru Gao, et al.. (2024). GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 74 indexed citations breakdown →

Jiang, Mengying, et al.. (2024). Combined model electricity load forecasting based on NeuralProphet and Bi-LSTM-SA. Journal of Physics Conference Series. 2781(1). 12025–12025. 1 indexed citations

10.

Xu, Jin, et al.. (2024). MTSANet: Multi-Head Two-Stream Attention Networks for Unsupervised Hyperspectral Image Super-Resolution. 7738–7741. 1 indexed citations

11.

Jiang, Mengying, Guizhong Liu, Biao Zhao, Yuanchao Su, & Weiqiang Jin. (2024). Relation-aware graph structure embedding with co-contrastive learning for drug–drug interaction prediction. Neurocomputing. 572. 127203–127203. 9 indexed citations

12.

Su, Yuanchao, Lianru Gao, Antonio Plaza, et al.. (2023). ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 53 indexed citations

13.

Jiang, Mengying, Wenxia Zhang, & Huisheng Zhang. (2023). Broad Learning System Based on Triangular Fuzzy Membership Function. 842–846. 1 indexed citations

14.

Su, Yuanchao, Lianru Gao, Mengying Jiang, et al.. (2022). NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification. IEEE Transactions on Cybernetics. 53(10). 6649–6662. 139 indexed citations breakdown →

15.

Su, Yuanchao, et al.. (2022). Chaotic Cuckoos Optimization with Graph Convolution Network for Hyperspectral Data Classification. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 38. 1724–1727. 1 indexed citations

16.

Jiang, Mengying, et al.. (2021). SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily.. arXiv (Cornell University). 2 indexed citations

17.

Jiang, Mengying, Yi Fang, Yuanchao Su, Guofa Cai, & Guojun Han. (2019). Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 17(8). 1373–1377. 15 indexed citations

18.

Yang, Zhijing, et al.. (2017). Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation. 8. 1061–1064. 2 indexed citations

19.

Yang, Zhijing, et al.. (2017). Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images. Sensors. 17(11). 2603–2603. 19 indexed citations

20.

Meng, Ying, Hongwei Zhang, Zehua Liu, et al.. (2014). Design, synthesis and antitumor activity of pyrrolopyrazinone-chalcone hybrids. Chemical Research in Chinese Universities. 30(4). 624–631. 2 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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