Ji Gan

476 citations
28 papers · 248 · h-index 10

Impact in

Papers in

    • Handwritten Text Recognition Techniques 8
    • Video Surveillance and Tracking Methods 5
    • Generative Adversarial Networks and Image Synthesis 4
    • Advanced Neural Network Applications 4
    • Image Processing and 3D Reconstruction 4
    • Advanced Image Processing Techniques 3
    • Advanced Image and Video Retrieval Techniques 3
    • Anomaly Detection Techniques and Applications 3

Ji Gan

24 papers receiving 242 citations

Peers

Ji Gan
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 194
  • Human-Computer Interaction 47
  • Media Technology 64
  • Artificial Intelligence 48
  • Health Informatics 1
Replace Victor Fragoso with:
Victor Fragoso United States
Sanyi Zhang China
Xuelian Cheng China
Te-Lin Wu United States
Mingyuan Jiu China
Hwasup Lim South Korea
Guoqiang Wei China
Xiaoqing Ding China
Sezer Karaoğlu Netherlands
Shanxin Yuan China
Ji Gan relative to Victor Fragoso United States Victor Fragoso's profile →
Citations per field
00.5×8.6×
Victor Fragoso · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ji Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ji Gan Line = papers co-authored together Ji Gan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201840
2 201731
3 201925
4 202420
5 202219
6 202119
7 201816
8 201915
9 202315
10 202311
11 20238
12 20225
13 20234
14 20253
15
Research on Monthly Rainfall Forecast Model Based on RBF Neural Network
20133
16 20253
17 20223
18 20242
19 20241
20 20251

About Ji Gan

Ji Gan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering and Human-Computer Interaction, having authored 28 papers that have together received 248 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Video Surveillance and Tracking Methods (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Neural Network Applications (4 papers), Image Processing and 3D Reconstruction (4 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Image Processing Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (194 citations), Human-Computer Interaction (47 citations), Media Technology (64 citations), Artificial Intelligence (48 citations) and Health Informatics (1 citation). Ji Gan has collaborated with scholars based in China and United States. Frequent co-authors include Weiqiang Wang, Ke Lü, Jiaxu Leng, Xinbo Gao, Bo Hu, Leida Li, Yuyan Chen, Yongming Ye, Bin Xiao and Chenqiang Gao. Their work appears in journals such as Pattern Recognition, Neurocomputing, Neural Networks, Pattern Recognition Letters and Information Sciences.

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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