Zhijing Yang

2.6k total citations · 1 hit paper
126 papers, 1.6k citations indexed

About

Zhijing Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Zhijing Yang has authored 126 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 24 papers in Artificial Intelligence. Recurrent topics in Zhijing Yang's work include Face and Expression Recognition (18 papers), Remote-Sensing Image Classification (17 papers) and Machine Fault Diagnosis Techniques (15 papers). Zhijing Yang is often cited by papers focused on Face and Expression Recognition (18 papers), Remote-Sensing Image Classification (17 papers) and Machine Fault Diagnosis Techniques (15 papers). Zhijing Yang collaborates with scholars based in China, United Kingdom and Hong Kong. Zhijing Yang's co-authors include Bingo Wing‐Kuen Ling, Jinchang Ren, Huimin Zhao, Chunmei Qing, Stephen Marshall, Chris Bingham, Peijun Du, Jiangbin Zheng, Jaime Zabalza and Junzheng Wu and has published in prestigious journals such as Nano Letters, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Zhijing Yang

106 papers receiving 1.6k citations

Hit Papers

Novel segmented stacked autoencoder for effective dimensi... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhijing Yang China 21 559 393 350 222 194 126 1.6k
Yuhu Cheng China 24 577 1.0× 476 1.2× 725 2.1× 383 1.7× 175 0.9× 169 2.0k
Kai Xu China 18 528 0.9× 336 0.9× 211 0.6× 392 1.8× 125 0.6× 60 1.5k
Yu-Bin Yang China 18 910 1.6× 295 0.8× 468 1.3× 135 0.6× 39 0.2× 93 1.9k
Xudong Sun China 16 618 1.1× 216 0.5× 359 1.0× 63 0.3× 91 0.5× 63 1.7k
Jakub Nalepa Poland 24 849 1.5× 565 1.4× 664 1.9× 83 0.4× 204 1.1× 120 2.2k
Jingwen Yan China 23 683 1.2× 721 1.8× 162 0.5× 377 1.7× 71 0.4× 112 1.9k
Tian-Xing Xu China 5 706 1.3× 205 0.5× 347 1.0× 83 0.4× 51 0.3× 12 1.5k
Yang Lu China 20 577 1.0× 233 0.6× 463 1.3× 75 0.3× 120 0.6× 106 1.3k
Erkan Beşdok Türkiye 19 468 0.8× 235 0.6× 630 1.8× 193 0.9× 34 0.2× 55 1.6k
Xiaowei Gu United Kingdom 27 290 0.5× 147 0.4× 930 2.7× 259 1.2× 81 0.4× 94 1.8k

Countries citing papers authored by Zhijing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhijing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijing Yang

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

All Works

20 of 20 papers shown
1.
Zhang, Xinhui, et al.. (2025). Chromosome-level assemblies of the White bream Parabramis pekinensis. Scientific Data. 12(1). 871–871.
2.
Peng, Siyuan, et al.. (2024). A weighted prior tensor train decomposition method for community detection in multi-layer networks. Neural Networks. 179. 106523–106523. 3 indexed citations
3.
Peng, Yanmei, Wenbo Zheng, Yuehong Chen, et al.. (2024). POLQ inhibition attenuates the stemness and ferroptosis resistance in gastric cancer cells via downregulation of dihydroorotate dehydrogenase. Cell Death and Disease. 15(4). 248–248. 7 indexed citations
5.
Wang, Meilin, et al.. (2024). NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10705–10713. 1 indexed citations
7.
Yang, Zhijing, et al.. (2024). Learning Semantic-aware Representation in Visual-Language Models for Multi-label Recognition with Partial Labels. ACM Transactions on Multimedia Computing Communications and Applications. 21(3). 1–19.
8.
Chen, Tianshui, et al.. (2024). Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration. IEEE Transactions on Image Processing. 33. 4811–4823. 4 indexed citations
9.
Yang, Zhijing, Zhe Yang, Dongxu Wang, et al.. (2024). Iron Knights with Nanosword Induced Ferroptosis in the Battle Against Oral Carcinoma. Nano Letters. 25(1). 327–335. 3 indexed citations
10.
Chen, Ruihan, et al.. (2023). Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing. Expert Systems with Applications. 237. 121703–121703. 4 indexed citations
11.
Wen, Wushao, et al.. (2023). ESA: Excitation-Switchable Attention for convolutional neural networks. Neurocomputing. 557. 126706–126706. 2 indexed citations
12.
Yang, Zhijing, et al.. (2023). OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. IEEE Transactions on Multimedia. 25. 1477–1488. 11 indexed citations
13.
Li, Hao, et al.. (2022). DnSwin: Toward real-world denoising via a continuous Wavelet Sliding Transformer. Knowledge-Based Systems. 255. 109815–109815. 13 indexed citations
14.
Shi, Yukai, et al.. (2022). Criteria Comparative Learning for Real-Scene Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8476–8485. 14 indexed citations
15.
Li, Hao, Jinghui Qin, Zhijing Yang, et al.. (2022). Real-World Image Super-Resolution by Exclusionary Dual-Learning. IEEE Transactions on Multimedia. 25. 4752–4763. 16 indexed citations
16.
Yang, Zhijing, et al.. (2022). Progressive Transformer Machine for Natural Character Reenactment. ACM Transactions on Multimedia Computing Communications and Applications. 19(2s). 1–22. 8 indexed citations
17.
Yang, Zhijing, et al.. (2022). Current practice of postoperative fasting: results from a multicentre survey in China. BMJ Open. 12(7). e060716–e060716. 6 indexed citations
18.
Yang, Zhijing, Jinchang Ren, Bingo Wing‐Kuen Ling, et al.. (2018). Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral-spatial classification of hyperspectral images. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 28 indexed citations
19.
Yang, Zhijing, et al.. (2016). Investigation on awareness and influencing factors of HPV self-sampling for cervical cancer screening of female in Shenzhen. Zhonghua xiandai huli zazhi. 22(17). 2426–2430. 2 indexed citations
20.
Cai, Nian, et al.. (2015). Ensemble Empirical Mode Decomposition Base on Complementary Adaptive Noises. 电子与信息学报. 37(10). 2383–2389.

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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