Dashuai Wang

608 citations
18 papers · 400 indexed · 1 hit paper · h-index 8
Topics
Smart Agriculture and AI (10 papers)Stroke Rehabilitation and Recovery (5 papers)Remote Sensing in Agriculture (5 papers)
Partner nations
ChinaUnited States

In The Last Decade

Dashuai Wang

15 papers receiving 383 citations

Hit Papers

A Review of Deep Learning in Multiscale Agricultural Sensing2022202620232024202250100150

Peers

Dashuai Wang
Comparison fields: 5 of 84
  • Plant Science 178
  • Biomedical Engineering 82
  • Computer Vision and Pattern Recognition 76
  • Ecology 75
  • Aerospace Engineering 61
Replace Robert Cupec with:
Robert Cupec Croatia
A.-J. Baerveldt Sweden
Ping Jiang China
Jianneng Chen China
Xia Jing China
Kexin Zhao United States
Jesús Arturo Escobedo Cabello Mexico
Henrik Karstoft Denmark
Leiying He China
Hongyu Zhou Australia
Dashuai Wang relative to Robert Cupec Croatia Robert Cupec's profile →
Citations per field
00.5×7.4×
Robert Cupec · 1×
Citations per year

Countries citing papers authored by Dashuai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dashuai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dashuai Wang

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 10
4 0
5 7
6 11
7 1
8 5
9 7
10 17
11 15
12
A Review of Deep Learning in Multiscale Agricultural Sensingbreakdown →
153
13 6
14 44
15 97
16 20
17
Spraying parameters and droplet deposition distribution analysis of CD-15 unmanned helicopter.
4
18 3

About Dashuai Wang

Dashuai Wang is a scholar working on Rehabilitation, Plant Science and Ecology, having authored 18 papers that have together received 400 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Stroke Rehabilitation and Recovery (5 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Analytical Chemistry (52 citations), Plant Science (178 citations) and Rehabilitation (32 citations). Dashuai Wang has collaborated with scholars based in China and United States. Frequent co-authors include Zhuolin Li, Wujing Cao, Xinyu Wu, Sheng Xu, Fan Zhang, Xiaoguang Liu, Chunlong Zhang, Li Wei, Nan Li and Chunjie Chen. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and Remote Sensing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026