Zhongying Deng

1.2k citations
15 papers · 632 indexed · 1 hit paper · h-index 6

Zhongying Deng

11 papers receiving 623 citations

Hit Papers

Adaptive Pyramid Context Network for Semantic Segmentation282201920262021202350100150200250

Peers

Zhongying Deng
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 506
  • Media Technology 83
  • Artificial Intelligence 218
  • Signal Processing 43
  • Industrial and Manufacturing Engineering 27
Replace Jiachen Li with:
Jiachen Li China
Sucheng Ren China
Anurag Arnab United States
Shuang Wu China
Feifei Lee Japan
Yan Shuicheng Singapore
Zhengkai Jiang China
Yue Liao China
Jun Miao China
Zilin Gao China
Zhongying Deng relative to Jiachen Li China Jiachen Li's profile →
Citations per field
00.5×7.4×
Jiachen Li · 1×
Citations per year

Countries citing papers authored by Zhongying Deng

Since Specialization
Citations

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

Fields of papers citing papers by Zhongying Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Zhongying Deng, 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 Zhongying Deng Line = papers co-authored together Zhongying Deng links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20251
2 20251
3 20252
4 20252
5 20241
6 20240
7 20240
8 20230
9 202236
10 20210
11 202024
12
Adaptive Pyramid Context Network for Semantic Segmentationbreakdown →
2019282
13 201934
14 201948
15 2019201

About Zhongying Deng

Zhongying Deng is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 632 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Multimodal Machine Learning Applications (3 papers), Face recognition and analysis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Traffic Prediction and Management Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (506 citations), Media Technology (83 citations) and Artificial Intelligence (218 citations). Zhongying Deng has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yu Qiao, Junjun He, Yali Wang, Lei Zhou, Xiaojiang Peng, Zhifeng Li, Da Li, Kaiyang Zhou, Tao Xiang and Yi-Zhe Song. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Intelligent Transportation Systems.

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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