Pingyang Dai

1.2k citations
19 papers · 749 · 1 hit paper · h-index 9

Impact in

Papers in

Pingyang Dai

18 papers receiving 742 citations

Pingyang Dai's Hit Papers

Cross-Modality Person Re-Identification with Generative Adversarial Training 2018 · 301 citations
3010+2+5Years since publication100200300

Peers

Pingyang Dai
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 707
  • Biomedical Engineering 221
  • Safety, Risk, Reliability and Quality 42
  • Global and Planetary Change 64
  • Aerospace Engineering 65
Replace Guan’an Wang with:
Guan’an Wang China
Zhanxiang Feng China
Shiyu Xuan China
Shane Brennan United States
Shaul Oron Israel
Xuetao Feng China
S.L. Dockstader United States
Maryam Babaee Germany
Davide Baltieri Italy
Pingyang Dai relative to Guan’an Wang China Guan’an Wang's profile →
Citations per field
00.5×8.5×
Guan’an Wang · 1×
Citations per year

Countries citing papers authored by Pingyang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Pingyang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Cross-Modality Person Re-Identification with Generative Adversarial Training
Hit paper breakdown →
2018301
2 2021190
3 202187
4 202257
5 202136
6 202414
7 201912
8 202112
9 202410
10 20197
11 20236
12 20246
13 20245
14 20232
15 20131
16 20141
17 20131
18 20241
19
Bag of Features with Dense Sampling for Visual Tracking ⋆
20140

About Pingyang Dai

Pingyang Dai is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Electrical and Electronic Engineering, Automotive Engineering and General Health Professions, having authored 19 papers that have together received 749 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (4 papers), Face recognition and analysis (3 papers), Gait Recognition and Analysis (3 papers), Image Enhancement Techniques (3 papers), Advanced Vision and Imaging (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (707 citations), Biomedical Engineering (221 citations), Safety, Risk, Reliability and Quality (42 citations), Global and Planetary Change (64 citations) and Aerospace Engineering (65 citations). Pingyang Dai has collaborated with scholars based in China, Taiwan and Sweden. Frequent co-authors include Rongrong Ji, Qiong Wu, Yuyu Huang, Haibin Wang, Yongjian Wu, Chia‐Wen Lin, Jie Chen, Feiyue Huang, Bineng Zhong and Peixian Chen. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Signal Image and Video Processing and Zenodo (CERN European Organization for Nuclear Research).

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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