Ji Jiang

445 total citations · 1 hit paper
9 papers, 322 citations indexed

About

Ji Jiang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ji Jiang has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 1 paper in Artificial Intelligence. Recurrent topics in Ji Jiang's work include Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image Fusion Techniques (2 papers). Ji Jiang is often cited by papers focused on Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image Fusion Techniques (2 papers). Ji Jiang collaborates with scholars based in China, United States and Hong Kong. Ji Jiang's co-authors include Xin Fan, Jinyuan Liu, Zhongxuan Luo, Risheng Liu, Xingyu Chen, Ge Li, Thomas H. Li, Long Chen, Meng Cao and Yuexian Zou and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Image and Vision Computing and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Ji Jiang

9 papers receiving 316 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.

Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion

2021 275 citations Jinyuan Liu, Xin Fan et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Jiang China	5	237	223	77	22	16	9	322
Hyungjoo Jung South Korea	6	198 0.8×	263 1.2×	31 0.4×	24 1.1×	16 1.0×	13	298
Meilong Xu United States	2	334 1.4×	235 1.1×	154 2.0×	20 0.9×	11 0.7×	5	375
Zhengtao Yu China	8	219 0.9×	257 1.2×	64 0.8×	50 2.3×	30 1.9×	13	350
Feifan Lv China	5	222 0.9×	478 2.1×	25 0.3×	29 1.3×	7 0.4×	6	507
Zhishe Wang China	10	448 1.9×	295 1.3×	187 2.4×	32 1.5×	15 0.9×	17	514
Yuxin Deng China	4	247 1.0×	232 1.0×	107 1.4×	16 0.7×	14 0.9×	7	341
Qingyu Xu China	6	177 0.7×	299 1.3×	20 0.3×	16 0.7×	5 0.3×	9	330
Shanxin Yuan China	8	141 0.6×	320 1.4×	21 0.3×	8 0.4×	11 0.7×	16	342
Wen Qian China	5	105 0.4×	213 1.0×	99 1.3×	14 0.6×	19 1.2×	7	286

Countries citing papers authored by Ji Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Ji Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Jiang

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

9 of 9 papers shown

1.

Chen, Nuo, et al.. (2023). Improving Retrieval-Based Dialogue System Via Syntax-Informed Attention. 1–5. 5 indexed citations

2.

Jiang, Ji, et al.. (2023). Video Referring Expression Comprehension via Transformer with Content-conditioned Query. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 39–48. 2 indexed citations

3.

Chen, Xingyu, et al.. (2023). Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5765–5775. 17 indexed citations

4.

Cao, Meng, Ji Jiang, Long Chen, & Yuexian Zou. (2022). Correspondence Matters for Video Referring Expression Comprehension. Proceedings of the 30th ACM International Conference on Multimedia. 4967–4976. 9 indexed citations

5.

Liu, Jinyuan, Xin Fan, Ji Jiang, Risheng Liu, & Zhongxuan Luo. (2021). Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion. IEEE Transactions on Circuits and Systems for Video Technology. 32(1). 105–119. 275 indexed citations breakdown →

6.

Zhang, Can, et al.. (2021). Synergic learning for noise-insensitive webly-supervised temporal action localization. Image and Vision Computing. 113. 104247–104247. 1 indexed citations

7.

Wu, Yubo, Jinyuan Liu, Ji Jiang, & Xin Fan. (2020). Dual Attention Mechanisms with Perceptual Loss Ensemble for Infrared and Visible Image Fusion. 87–92. 2 indexed citations

8.

Yang, Yi, et al.. (2016). Video system for human attribute analysis using compact convolutional neural network. 1. 584–588. 8 indexed citations

9.

Liang, Wei, et al.. (2006). Quantitative Determination of Olopatadine in Human Plasma by High Performance Liquid Chromatography-Tandem Mass Spectrometry. 27(4). 193. 3 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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