Ji Gan

433 total citations
27 papers, 221 citations indexed

About

Ji Gan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ji Gan has authored 27 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Ji Gan's work include Handwritten Text Recognition Techniques (8 papers), Video Surveillance and Tracking Methods (5 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Ji Gan is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Video Surveillance and Tracking Methods (5 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Ji Gan collaborates with scholars based in China and United States. Ji Gan's co-authors include Weiqiang Wang, Ke Lü, Xinbo Gao, Jiaxu Leng, Bo Hu, Leida Li, Chenqiang Gao, Bin Xiao, Yuyan Chen and Weisheng Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.

In The Last Decade

Ji Gan

24 papers receiving 213 citations

Peers

Ji Gan
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 173
  • Media Technology 58
  • Human-Computer Interaction 46
  • Artificial Intelligence 44
  • Control and Systems Engineering 17
Replace Wending Yan with:
Wending Yan Singapore
Victor Fragoso United States
Te-Lin Wu United States
Guoqiang Wei China
Mingyuan Jiu France
Xiangyi Yan United States
Hwasup Lim South Korea
Hyung–Il Choi South Korea
Xuelian Cheng China
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Wending Yan Singapore View profile →
Citations per field, relative to Ji Gan
Ji Gan · 1×
Citations per year, relative to Ji Gan
Ji Gan · 1×

Countries citing papers authored by Ji Gan

Since Specialization
Citations

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

Fields of papers citing papers by Ji Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Gan. A scholar is included among the top collaborators of Ji Gan 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 Gan. Ji Gan 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 1
2 0
3 1
4 0
5 0
6 13
7 1
8 2
9 4
10 14
11 7
12 9
13 15
14 2
15 5
16 13
17 24
18 38
19 31
20
Research on Monthly Rainfall Forecast Model Based on RBF Neural Network
3

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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