Zhong Ji

4.3k total citations · 1 hit paper
176 papers, 2.8k citations indexed

About

Zhong Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhong Ji has authored 176 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Vision and Pattern Recognition, 76 papers in Artificial Intelligence and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhong Ji's work include Domain Adaptation and Few-Shot Learning (66 papers), Multimodal Machine Learning Applications (59 papers) and Advanced Image and Video Retrieval Techniques (47 papers). Zhong Ji is often cited by papers focused on Domain Adaptation and Few-Shot Learning (66 papers), Multimodal Machine Learning Applications (59 papers) and Advanced Image and Video Retrieval Techniques (47 papers). Zhong Ji collaborates with scholars based in China, United States and United Kingdom. Zhong Ji's co-authors include Yanwei Pang, Yunlong Yu, Xuelong Li, Zhongfei Zhang, Jungong Han, Jichang Guo, Yuting Su, Xuelong Li, Haoran Wang and Kexin Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Zhong Ji

166 papers receiving 2.7k 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.

Video Summarization With Attention-Based Encoder–Decoder Networks

2019 258 citations Zhong Ji, Yanwei Pang et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers

Zhong Ji

CVPR

AI

SP

RNMI

BE

Junyuan Xie China

Yan Lu China

Xianghua Xie United Kingdom

Mudassar Raza Pakistan

Yang Cong China

Georgios Tziritas Greece

Changick Kim South Korea

Xiang Sean Zhou United States

Oriol Pujol Spain

Junyuan Xie China

Zhong Ji

1.4k ×0.7

CVPR

787 ×0.6

AI

131 ×0.3

SP

185 ×0.8

RNMI

156 ×0.8

BE

Citations per year, relative to Zhong Ji Zhong Ji (= 1×) peers Junyuan Xie

Countries citing papers authored by Zhong Ji

Since Specialization

Citations

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

Fields of papers citing papers by Zhong Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Ji

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

1.

Ji, Zhong, et al.. (2025). Frequency-Spatial Complementation: Unified Channel-Specific Style Attack for Cross-Domain Few-Shot Learning. IEEE Transactions on Image Processing. 34. 2242–2253. 1 indexed citations

2.

Chen, Jiaying, Qiheng Wu, Haotian Liu, et al.. (2024). Predictive value of remnant cholesterol inflammatory index for stroke risk: Evidence from the China health and Retirement Longitudinal study. Journal of Advanced Research. 76. 543–552. 13 indexed citations

3.

Yu, Yunlong, et al.. (2024). Tolerant Self-Distillation for image classification. Neural Networks. 174. 106215–106215. 7 indexed citations

4.

Wang, Xuan, Zhong Ji, Yunlong Yu, Yanwei Pang, & Jungong Han. (2024). Model Attention Expansion for Few-Shot Class-Incremental Learning. IEEE Transactions on Image Processing. 33. 4419–4431. 5 indexed citations

5.

Ji, Zhong, et al.. (2024). Progressive Semantic Reconstruction Network for Weakly Supervised Referring Expression Grounding. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13058–13070. 4 indexed citations

6.

Ji, Zhong, et al.. (2024). Global-Context-Aware Visual Odometry System With Epipolar-Geometry-Constrained Loss Function. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 3 indexed citations

7.

Ji, Zhong, et al.. (2024). Hierarchical matching and reasoning for multi-query image retrieval. Neural Networks. 173. 106200–106200. 7 indexed citations

8.

Zhang, Yan, Zhong Ji, Di Wang, Yanwei Pang, & Xuelong Li. (2024). USER: Unified Semantic Enhancement With Momentum Contrast for Image-Text Retrieval. IEEE Transactions on Image Processing. 33. 595–609. 23 indexed citations

9.

Zhang, Yan, Zhong Ji, Yanwei Pang, & Jungong Han. (2024). Hierarchical and complementary experts transformer with momentum invariance for image-text retrieval. Knowledge-Based Systems. 309. 112912–112912. 2 indexed citations

10.

Liu, Yumeng, et al.. (2023). Visual-quality-driven unsupervised image dehazing. Neural Networks. 167. 1–9. 13 indexed citations

11.

Wang, Yaodong, Zhong Ji, Di Wang, Yanwei Pang, & Xuelong Li. (2023). Towards Unsupervised Referring Expression Comprehension with Visual Semantic Parsing. Knowledge-Based Systems. 285. 111318–111318. 3 indexed citations

12.

Ji, Zhong, et al.. (2023). Self-taught cross-domain few-shot learning with weakly supervised object localization and task-decomposition. Knowledge-Based Systems. 265. 110358–110358. 13 indexed citations

13.

Zhang, Yan, Zhong Ji, Yanwei Pang, & Xuelong Li. (2023). Consensus Knowledge Exploitation for Partial Query Based Image Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 33(12). 7900–7913. 12 indexed citations

14.

Yu, Yunlong, et al.. (2023). Balancing Feature Alignment and Uniformity for Few-Shot Classification. IEEE Transactions on Image Processing. 34. 4456–4469. 1 indexed citations

15.

Ji, Zhong, et al.. (2023). Knowledge-Aided Momentum Contrastive Learning for Remote-Sensing Image Text Retrieval. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 32 indexed citations

16.

Ji, Zhong, et al.. (2022). Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning. IEEE Transactions on Image Processing. 31. 1520–1531. 29 indexed citations

17.

Yu, Yunlong, Bin Li, Zhong Ji, Jungong Han, & Zhongfei Zhang. (2021). Knowledge Distillation Classifier Generation Network for Zero-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 3183–3194. 13 indexed citations

18.

Ji, Zhong, et al.. (2021). DGIG-Net: Dynamic Graph-in-Graph Networks for Few-Shot Human–Object Interaction. IEEE Transactions on Cybernetics. 52(8). 7852–7864. 28 indexed citations

19.

Ji, Zhong, et al.. (2019). Video Summarization With Attention-Based Encoder–Decoder Networks. IEEE Transactions on Circuits and Systems for Video Technology. 30(6). 1709–1717. 258 indexed citations breakdown →

20.

Ji, Zhong. (2005). Signal feature extraction based upon independent component analysis and wavelet transform. Chinese Journal of Mechanical Engineering. 18(1). 123–123. 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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