Yujie Ning

586 total citations
9 papers, 432 citations indexed

About

Yujie Ning is a scholar working on Media Technology, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Yujie Ning has authored 9 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Media Technology, 8 papers in Artificial Intelligence and 2 papers in Atmospheric Science. Recurrent topics in Yujie Ning's work include Remote-Sensing Image Classification (9 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Machine Learning and ELM (4 papers). Yujie Ning is often cited by papers focused on Remote-Sensing Image Classification (9 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Machine Learning and ELM (4 papers). Yujie Ning collaborates with scholars based in China, United States and Macao. Yujie Ning's co-authors include Jiangtao Peng, Weiwei Sun, Qian Du, Na Chen, Quanyong Liu, Yi Huang, Yi Huang, Han Su, Yicong Zhou and Qiang Cao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Yujie Ning

9 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yujie Ning China	8	351	179	123	99	36	9	432
Yufei Yang China	11	214 0.6×	159 0.9×	80 0.7×	95 1.0×	18 0.5×	26	446
Xianchang Yang China	10	259 0.7×	79 0.4×	115 0.9×	105 1.1×	37 1.0×	12	357
Yunpeng Bai China	11	325 0.9×	82 0.5×	130 1.1×	227 2.3×	50 1.4×	25	455
Shuguo Jiang China	9	447 1.3×	110 0.6×	195 1.6×	168 1.7×	28 0.8×	11	570
Xuanwen Tao Spain	13	308 0.9×	73 0.4×	144 1.2×	153 1.5×	38 1.1×	31	474
Yining Feng China	13	320 0.9×	55 0.3×	151 1.2×	117 1.2×	42 1.2×	29	464
Qianming Li China	10	273 0.8×	50 0.3×	129 1.0×	91 0.9×	25 0.7×	14	345
Huihui Dong China	5	135 0.4×	156 0.9×	64 0.5×	113 1.1×	28 0.8×	13	284
Miaomiao Liang China	13	473 1.3×	96 0.5×	320 2.6×	145 1.5×	40 1.1×	34	604
Chengle Zhou China	15	423 1.2×	104 0.6×	249 2.0×	180 1.8×	29 0.8×	33	557

Countries citing papers authored by Yujie Ning

Since Specialization

Citations

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

Fields of papers citing papers by Yujie Ning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujie Ning

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

All Works

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9 of 9 papers shown

Ning, Yujie, Jiangtao Peng, Quanyong Liu, Weiwei Sun, & Qian Du. (2024). Domain Invariant and Compact Prototype Contrast Adaptation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 10 indexed citations

Ning, Yujie, et al.. (2023). Contrastive Learning Based on Category Matching for Domain Adaptation in Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 43 indexed citations

Liu, Quanyong, Jiangtao Peng, Na Chen, et al.. (2023). Category-Specific Prototype Self-Refinement Contrastive Learning for Few-Shot Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 28 indexed citations

Liu, Quanyong, Jiangtao Peng, Yujie Ning, et al.. (2023). Refined Prototypical Contrastive Learning for Few-Shot Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 64 indexed citations

Ning, Yujie, et al.. (2022). Adaptive Local Discriminant Analysis and Distribution Matching for Domain Adaptation in Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 4797–4808. 13 indexed citations

Huang, Yi, Jiangtao Peng, Weiwei Sun, et al.. (2022). Two-Branch Attention Adversarial Domain Adaptation Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 124 indexed citations

Peng, Jiangtao, Yi Huang, Weiwei Sun, et al.. (2022). Domain Adaptation in Remote Sensing Image Classification: A Survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 9842–9859. 119 indexed citations

Huang, Yi, Jiangtao Peng, Yujie Ning, Qiang Cao, & Weiwei Sun. (2021). Distribution Alignment and Discriminative Feature Learning for Domain Adaptation in Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 4 indexed citations

Peng, Jiangtao, et al.. (2021). Graph Embedding and Distribution Alignment for Domain Adaptation in Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 7654–7666. 27 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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