Dashuai Wang

608 total citations · 1 hit paper
18 papers, 400 citations indexed

About

Dashuai Wang is a scholar working on Plant Science, Ecology and Rehabilitation. According to data from OpenAlex, Dashuai Wang has authored 18 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Ecology and 5 papers in Rehabilitation. Recurrent topics in Dashuai Wang's work include Smart Agriculture and AI (10 papers), Stroke Rehabilitation and Recovery (5 papers) and Remote Sensing in Agriculture (5 papers). Dashuai Wang is often cited by papers focused on Smart Agriculture and AI (10 papers), Stroke Rehabilitation and Recovery (5 papers) and Remote Sensing in Agriculture (5 papers). Dashuai Wang collaborates with scholars based in China and United States. Dashuai Wang's co-authors include Zhuolin Li, Wujing Cao, Xinyu Wu, Sheng Xu, Fan Zhang, Xiaoguang Liu, Chunlong Zhang, Li Wei, Nan Li and Chunjie Chen and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and Remote Sensing.

In The Last Decade

Dashuai Wang

15 papers receiving 383 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Review of Deep Learning in Multiscale Agricultural Sensing

2022 153 citations Dashuai Wang, Wujing Cao et al. Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dashuai Wang China	8	178	82	76	75	61	18	400
Jianneng Chen China	13	372 2.1×	120 1.5×	82 1.1×	55 0.7×	30 0.5×	88	762
Robert Cupec Croatia	12	116 0.7×	100 1.2×	207 2.7×	30 0.4×	170 2.8×	46	442
Xia Jing China	12	82 0.5×	64 0.8×	51 0.7×	161 2.1×	17 0.3×	44	473
A.-J. Baerveldt Sweden	11	362 2.0×	64 0.8×	181 2.4×	71 0.9×	285 4.7×	23	822
Kexin Zhao United States	10	95 0.5×	46 0.6×	80 1.1×	17 0.2×	82 1.3×	31	379
Ping Jiang China	12	84 0.5×	40 0.5×	100 1.3×	34 0.5×	11 0.2×	70	503
Dani Martínez Spain	11	197 1.1×	120 1.5×	72 0.9×	68 0.9×	30 0.5×	23	464
Jesús Arturo Escobedo Cabello Mexico	11	88 0.5×	37 0.5×	107 1.4×	24 0.3×	111 1.8×	16	437
Hongyu Zhou Australia	10	430 2.4×	156 1.9×	136 1.8×	37 0.5×	115 1.9×	13	757
Yutaka Kaizu Japan	12	190 1.1×	29 0.4×	52 0.7×	31 0.4×	33 0.5×	42	364

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

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18 of 18 papers shown

Song, Heesang, et al.. (2025). Enhancing winter wheat growth indicator prediction with multi-task learning and multi-source data. European Journal of Agronomy. 168. 127629–127629.

Zhao, Minghu, Dashuai Wang, Gan Zhang, et al.. (2025). Evaluating maize emergence quality with multi-task YOLO11-Mamba and UAV-RGB remote sensing. Smart Agricultural Technology. 12. 101351–101351.

Wang, Dashuai, et al.. (2024). A survey of unmanned aerial vehicles and deep learning in precision agriculture. European Journal of Agronomy. 164. 127477–127477. 10 indexed citations

Zhao, Minghu, et al.. (2024). UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods. Agriculture. 15(1). 36–36.

Wang, Dashuai, Zhuolin Li, Nan Li, et al.. (2024). Classification of maize lodging types using UAV-SAR remote sensing data and machine learning methods. Computers and Electronics in Agriculture. 227. 109637–109637. 7 indexed citations

Li, Zhuolin, et al.. (2024). Winter wheat weed detection based on deep learning models. Computers and Electronics in Agriculture. 227. 109448–109448. 11 indexed citations

Wang, Dashuai, et al.. (2024). Effect Analysis of Wearing an Lumbar Exoskeleton on Coordinated Activities of the Low Back Muscles Using sEMG Topographic Maps. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 259–270. 1 indexed citations

Wang, Lin, et al.. (2024). Loading Recognition for Lumbar Exoskeleton Based on Multi-Channel Surface Electromyography From Low Back Muscles. IEEE Transactions on Biomedical Engineering. 71(7). 2154–2162. 5 indexed citations

Wang, Shun, et al.. (2023). A Systematic Solution for Moving-Target Detection and Tracking While Only Using a Monocular Camera. Sensors. 23(10). 4862–4862. 7 indexed citations

10.

Wang, Dashuai, Zhuolin Li, Xiaoqiang Du, Zenghong Ma, & Xiaoguang Liu. (2022). Farmland Obstacle Detection from the Perspective of UAVs Based on Non-local Deformable DETR. Agriculture. 12(12). 1983–1983. 17 indexed citations

11.

Wang, Dashuai, Sheng Xu, Zhuolin Li, & Wujing Cao. (2022). Analysis of the Influence of Parameters of a Spraying System Designed for UAV Application on the Spraying Quality Based on Box–Behnken Response Surface Method. Agriculture. 12(2). 131–131. 15 indexed citations

12.

Wang, Dashuai, Wujing Cao, Fan Zhang, et al.. (2022). A Review of Deep Learning in Multiscale Agricultural Sensing. Remote Sensing. 14(3). 559–559. 153 indexed citations breakdown →

13.

Cao, Wujing, et al.. (2021). Biomechanical and Physiological Evaluation of a Multi-Joint Exoskeleton with Active-Passive Assistance for Walking. Biosensors. 11(10). 393–393. 6 indexed citations

14.

Cao, Wujing, et al.. (2021). A Lower Limb Exoskeleton With Rigid and Soft Structure for Loaded Walking Assistance. IEEE Robotics and Automation Letters. 7(1). 454–461. 44 indexed citations

15.

Wang, Dashuai, Li Wei, Xiaoguang Liu, Nan Li, & Chunlong Zhang. (2020). UAV environmental perception and autonomous obstacle avoidance: A deep learning and depth camera combined solution. Computers and Electronics in Agriculture. 175. 105523–105523. 97 indexed citations

16.

Wang, Dashuai, et al.. (2020). SIAT-WEXv2: A Wearable Exoskeleton for Reducing Lumbar Load during Lifting Tasks. Complexity. 2020. 1–12. 20 indexed citations

17.

Wang, Dashuai, et al.. (2017). Spraying parameters and droplet deposition distribution analysis of CD-15 unmanned helicopter.. 26(1). 41–50. 4 indexed citations

18.

Yuan, Ting, et al.. (2016). Structure Optimization and Path Planning of Tomato Picking Manipulator. 356–360. 3 indexed citations

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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