Yiteng Pan

950 citations
18 papers · 804 · h-index 12

Impact in

    • Medical Image Segmentation Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image Enhancement Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Graph Neural Networks
    • Metaheuristic Optimization Algorithms Research

Papers in

Yiteng Pan

17 papers receiving 779 citations

Peers

Yiteng Pan
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 428
  • Artificial Intelligence 291
  • Information Systems 192
  • Media Technology 69
  • Computational Mathematics 3
Replace Zan Gao with:
Zan Gao China
Xiang Long China
Brody Huval United States
Asadollah Shahbahrami Iran
Feihu Zhang China
Feng Ding China
Peijun Ma China
Jian Yin China
Yimu Ji China
Andrea Albarelli Italy
Yiteng Pan relative to Zan Gao China Zan Gao's profile →
Citations per field
00.5×1.5×1.8×
Zan Gao · 1×
Citations per year

Countries citing papers authored by Yiteng Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yiteng Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Yiteng Pan, 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 Yiteng Pan Line = papers co-authored together Yiteng Pan links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020124
2 201999
3 201894
4 201891
5 202188
6 201882
7 201971
8 201643
9 201928
10 202021
11 201619
12 201712
13
Trust-aware Collaborative Denoising Auto-Encoder for Top-N Recommendation
201711
14 20238
15 20216
16
Trust-aware Top-N Recommender Systems with Correlative Denoising Autoencoder.
20174
17 20183
18 20240

About Yiteng Pan

Yiteng Pan is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics and Surgery, having authored 18 papers that have together received 804 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Medical Image Segmentation Techniques (5 papers), Advanced Graph Neural Networks (4 papers), Image Retrieval and Classification Techniques (4 papers), Image and Object Detection Techniques (3 papers), Machine Learning and ELM (2 papers), Advanced Data Compression Techniques (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (428 citations), Artificial Intelligence (291 citations), Information Systems (192 citations), Media Technology (69 citations) and Computational Mathematics (3 citations). Yiteng Pan has collaborated with scholars based in China and United States. Frequent co-authors include Fazhi He, Haiping Yu, Haiping Yu, Fazhi He, Haoran Li, Yilin Chen, Fazhi He, Zhiyong Yuan, Bo Ni and Xiaohu Yan. Their work appears in journals such as Multimedia Tools and Applications, Applied Intelligence, Engineering Applications of Artificial Intelligence, Medicine and Frontiers of Computer Science.

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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