Zhilong Ji

693 total citations · 1 hit paper
21 papers, 266 citations indexed

About

Zhilong Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhilong Ji has authored 21 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhilong Ji's work include Generative Adversarial Networks and Image Synthesis (5 papers), Medical Imaging Techniques and Applications (3 papers) and Image Processing and 3D Reconstruction (3 papers). Zhilong Ji is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Medical Imaging Techniques and Applications (3 papers) and Image Processing and 3D Reconstruction (3 papers). Zhilong Ji collaborates with scholars based in China, Hong Kong and United States. Zhilong Ji's co-authors include Jinfeng Bai, Wangmeng Zuo, Yabo Zhang, Yuxiang Wei, Lei Zhang, Zhongqin Wu, Shiguang Shan, Yiwen Guo, Bowen Dong and Xilin Chen and has published in prestigious journals such as Pattern Recognition, Inverse Problems and Journal of X-Ray Science and Technology.

In The Last Decade

Zhilong Ji

19 papers receiving 265 citations

Hit Papers

ELITE: Encoding Visual Concepts into Textual Embeddings f... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Zhilong Ji
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 182
  • Artificial Intelligence 77
  • Computer Graphics and Computer-Aided Design 34
  • Building and Construction 21
  • Automotive Engineering 18
Replace Jing Yu Koh with:
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Dongliang Zhou China
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Chris Tensmeyer United States
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Jordi Sànchez-Riera Taiwan
Jonathan Maïm Switzerland
Jing Yu Koh United States View profile →
Citations per field, relative to Zhilong Ji
Zhilong Ji · 1×
Citations per year, relative to Zhilong Ji
Zhilong Ji · 1×

Countries citing papers authored by Zhilong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Zhilong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhilong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Zhilong Ji. A scholar is included among the top collaborators of Zhilong 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 Zhilong Ji. Zhilong Ji 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
# Work Indexed citations
1 0
2 2
3 5
4 24
5 4
6 5
7 0
8 2
9
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation breakdown →
105
10 8
11 1
12 30
13 25
14 29
15 1
16 5
17 3
18 4
19 3
20 2

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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