Yong Du

2.2k citations
40 papers · 1.4k indexed · 2 hit papers · h-index 14
Topics
Transportation Planning and Optimization (9 papers)Traffic Prediction and Management Techniques (7 papers)Human Mobility and Location-Based Analysis (7 papers)
Partner nations
ChinaHong KongSingapore

In The Last Decade

Yong Du

36 papers receiving 1.3k citations

Hit Papers

Facial Expression Recognition Based on Deep Evolutional S...201720262020202320172023100200300

Peers

Yong Du
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 962
  • Artificial Intelligence 333
  • Experimental and Cognitive Psychology 285
  • Biomedical Engineering 246
  • Human-Computer Interaction 175
Replace M. A. H. Akhand with:
M. A. H. Akhand Bangladesh
Alessandro L. Koerich Brazil
Heechul Jung South Korea
Vineeth N Balasubramanian India
Kaixuan Chen Australia
Haizhou Ai China
Mohsen Soryani Iran
Matthew Hausknecht United States
Alceu S. Britto Brazil
Matthew Shreve United States
Yong Du relative to M. A. H. Akhand Bangladesh M. A. H. Akhand's profile →
Citations per field
00.5×4.8×
M. A. H. Akhand · 1×
Citations per year

Countries citing papers authored by Yong Du

Since Specialization
Citations

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

Fields of papers citing papers by Yong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Du

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Du. A scholar is included among the top collaborators of Yong Du 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 Yong Du. Yong Du 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
#WorkIndexed citations
1 1
2 0
3 0
4 8
5 13
6
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazingbreakdown →
161
7 16
8 51
9 12
10 18
11 60
12
Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networksbreakdown →
319
13 4
14 106
15 281
16 8
17 10
18 9
19 12
20 20

About Yong Du

Yong Du is a scholar working on Computational Mathematics, Transportation and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (9 papers), Traffic Prediction and Management Techniques (7 papers) and Human Mobility and Location-Based Analysis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (962 citations), Human-Computer Interaction (175 citations) and Experimental and Cognitive Psychology (285 citations). Yong Du has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Liang Wang, Yun Fu, Kaihao Zhang, Yongzhen Huang, Shengfeng He, Junyu Dong, Qinghua Hu, Peijun Ma, Yu Zheng and Jiahui Zhan. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Access.

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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