Jinhui Dai

492 citations
14 papers · 332 indexed · h-index 8
Topics
Radar Systems and Signal Processing (10 papers)Target Tracking and Data Fusion in Sensor Networks (8 papers)Distributed Sensor Networks and Detection Algorithms (5 papers)
Partner nations
ChinaItaly

In The Last Decade

Jinhui Dai

13 papers receiving 328 citations

Peers

Jinhui Dai
Comparison fields: 5 of 39
  • Aerospace Engineering 238
  • Artificial Intelligence 147
  • Computer Networks and Communications 93
  • Electrical and Electronic Engineering 37
  • Computer Vision and Pattern Recognition 23
Replace Folker Hoffmann with:
Folker Hoffmann Germany
Ting Cheng China
Xiangdong Lin United States
Hans Driessen Netherlands
Ying Du China
Monika Wieneke Germany
Mina Labib United States
Guchong Li China
Thomas Lang Canada
Jinhui Dai relative to Folker Hoffmann Germany Folker Hoffmann's profile →
Citations per field
00.5×2.7×
Folker Hoffmann · 1×
Citations per year

Countries citing papers authored by Jinhui Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jinhui Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhui Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhui Dai. A scholar is included among the top collaborators of Jinhui 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 Jinhui Dai. Jinhui Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 0
3 24
4 10
5 19
6 120
7 1
8 49
9 1
10 4
11 18
12 39
13 40
14 4

About Jinhui Dai

Jinhui Dai is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 14 papers that have together received 332 indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (10 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). The work is most often cited by research in Aerospace Engineering (238 citations), Artificial Intelligence (147 citations) and Computer Networks and Communications (93 citations). Jinhui Dai has collaborated with scholars based in China and Italy. Frequent co-authors include Hongwei Liu, Junkun Yan, Wenqiang Pu, Wenqiang Pu, Chenguang Shi, Maria Greco, Zheng Bao, Shenghua Zhou, Qingjiang Shi and Peng Zhang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and IEEE Transactions on Vehicular Technology.

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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