J. P. Dai

2.1k citations
47 papers · 586 indexed · 1 hit paper · h-index 8
Co-authors
Huchuan LuLu ZhangYou HeGang WangJunjun PanHongyu WangYing ZhangJie Wang
Topics
Human Pose and Action Recognition (10 papers)Human Motion and Animation (8 papers)Video Surveillance and Tracking Methods (6 papers)

In The Last Decade

J. P. Dai

34 papers receiving 577 citations

Hit Papers

A Bi-Directional Message Passing Model for Salient Object...20182026202020232018100200300

Peers

J. P. Dai
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 472
  • Cognitive Neuroscience 145
  • Human-Computer Interaction 55
  • Media Technology 52
  • Sensory Systems 47
Replace Zhao Shuyang with:
Zhao Shuyang China
Fatemeh Sadat Saleh Australia
Linwei Ye China
Jinqing Qi China
Christian Siagian United States
Huajun Zhou China
Wenxi Liu Hong Kong
Zijun Deng China
Changqun Xia China
Nianchang Huang China
J. P. Dai relative to Zhao Shuyang China Zhao Shuyang's profile →
Citations per field
00.5×1.5×2.1×
Zhao Shuyang · 1×
Citations per year

Countries citing papers authored by J. P. Dai

Since Specialization
Citations

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

Fields of papers citing papers by J. P. Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. P. Dai

This figure shows the co-authorship network connecting the top 25 collaborators of J. P. Dai. A scholar is included among the top collaborators of J. P. Dai 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 J. P. Dai. J. P. Dai 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
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6 0
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9 8
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11 7
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14 5
15 3
16 32
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A Bi-Directional Message Passing Model for Salient Object Detectionbreakdown →
380
19
Consitency Control System of Multi-Agent Car Speed Based on Wireless Communication Network
1
20
Study on the strength weakening rule of steel fiber reinforced concrete after microwave irradiation
1

About J. P. Dai

J. P. Dai is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering, having authored 47 papers that have together received 586 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Human Motion and Animation (8 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (472 citations), Human-Computer Interaction (55 citations) and Sensory Systems (47 citations). J. P. Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huchuan Lu, Lu Zhang, You He, Gang Wang, Junjun Pan, Hongyu Wang, Ying Zhang, Jie Wang, Yangyang Wang and Dongbing Gu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Pattern Recognition and Food Research International.

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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