Laigang Wang

516 total citations
30 papers, 353 citations indexed

About

Laigang Wang is a scholar working on Ecology, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Laigang Wang has authored 30 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 13 papers in Atmospheric Science and 10 papers in Environmental Engineering. Recurrent topics in Laigang Wang's work include Remote Sensing in Agriculture (16 papers), Remote Sensing and Land Use (11 papers) and Remote Sensing and LiDAR Applications (6 papers). Laigang Wang is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Remote Sensing and Land Use (11 papers) and Remote Sensing and LiDAR Applications (6 papers). Laigang Wang collaborates with scholars based in China, United States and Italy. Laigang Wang's co-authors include Xia Yao, Yan Zhu, Weixing Cao, Yongchao Tian, Kaicun Wang, Ben Zhao, Syed Tahir Ata-Ul-Karim, Xiaoli Niu, Aiwang Duan and Zhandong Liu and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Bulletin of the American Meteorological Society.

In The Last Decade

Laigang Wang

28 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laigang Wang China 9 200 179 113 86 59 30 353
Gleyce Kelly Dantas Araújo Figueiredo Brazil 10 210 1.1× 91 0.5× 101 0.9× 89 1.0× 27 0.5× 35 328
Yumiko Kanke United States 10 255 1.3× 259 1.4× 111 1.0× 71 0.8× 27 0.5× 13 388
Joel Segarra Spain 7 303 1.5× 229 1.3× 135 1.2× 122 1.4× 26 0.4× 20 502
Sanaz Shafian United States 12 198 1.0× 225 1.3× 182 1.6× 69 0.8× 72 1.2× 26 456
Sugandh Chauhan Netherlands 8 217 1.1× 196 1.1× 156 1.4× 38 0.4× 95 1.6× 15 368
Zhaopeng Fu China 8 253 1.3× 234 1.3× 112 1.0× 36 0.4× 35 0.6× 15 358
Sergio Ruggieri Italy 12 151 0.8× 135 0.8× 181 1.6× 58 0.7× 18 0.3× 34 344
Luan Pierre Pott Brazil 8 242 1.2× 298 1.7× 79 0.7× 60 0.7× 45 0.8× 17 478
Matteo G. Ziliani Saudi Arabia 12 255 1.3× 285 1.6× 154 1.4× 139 1.6× 25 0.4× 18 522
Mingchao Shao China 10 279 1.4× 250 1.4× 179 1.6× 91 1.1× 19 0.3× 13 450

Countries citing papers authored by Laigang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Laigang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laigang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Laigang Wang. A scholar is included among the top collaborators of Laigang 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 Laigang Wang. Laigang Wang 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
1.
Chen, Zili, Yan Guo, Laigang Wang, et al.. (2025). Research on lightweight detection and recognition of tobacco disease based on RT-YOLOv10 and UAV remote sensing images. Smart Agricultural Technology. 12. 101415–101415.
2.
Qiu, Bingwen, Xiang Hu, Peng Yang, et al.. (2025). A robust framework for mapping complex cropping patterns: The first national-scale 10 m map with 10 crops in China using Sentinel 1/2 images. ISPRS Journal of Photogrammetry and Remote Sensing. 224. 361–381. 3 indexed citations
3.
Chen, Zili, et al.. (2025). MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions. Scientific Reports. 15(1). 2759–2759. 4 indexed citations
4.
Cheng, Fei-Fei, Bingwen Qiu, Peng Yang, et al.. (2025). Crop sample prediction and early mapping based on historical data: Exploration of an explainable FKAN framework. Computers and Electronics in Agriculture. 237. 110689–110689.
5.
Chen, Riqiang, et al.. (2024). Automatic Rice Early-Season Mapping Based on Simple Non-Iterative Clustering and Multi-Source Remote Sensing Images. Remote Sensing. 16(2). 277–277. 8 indexed citations
6.
Qiu, Bingwen, Zhenghong Tang, Jinwei Dong, et al.. (2024). National-scale 10-m maps of cropland use intensity in China during 2018–2023. Scientific Data. 11(1). 691–691. 15 indexed citations
7.
He, Jia, et al.. (2024). Monitoring the southern corn rust based on hyperspectral remote sensing. 45. 89–89. 1 indexed citations
8.
Zhang, Lei, et al.. (2024). Detection of Rice Leaf Folder in Paddy Fields Based on Unmanned Aerial Vehicle-Based Hyperspectral Images. Agronomy. 14(11). 2660–2660. 1 indexed citations
11.
Li, Bing, et al.. (2023). In-season assessment of agronomic nitrogen use efficiency and its components in winter wheat using critical nitrogen dilution curve. Frontiers in Plant Science. 14. 1128799–1128799. 3 indexed citations
12.
Guo, Yan, et al.. (2020). Evaluating the feasibility of GF-1 remote sensing comparison with hyperspectral data for soil organic carbon prediction and mapping. IOP Conference Series Earth and Environmental Science. 545(1). 12016–12016. 4 indexed citations
13.
Zhao, Ben, Xiaoli Niu, Syed Tahir Ata-Ul-Karim, et al.. (2019). Determination of the post-anthesis nitrogen status using ear critical nitrogen dilution curve and its implications for nitrogen management in maize and wheat. European Journal of Agronomy. 113. 125967–125967. 59 indexed citations
14.
Duan, Junzhi, et al.. (2018). Rapid recognition of wheat based on high resolution remote sensing (GF-2) data and its accuracy analysis.. He'nan nongye kexue. 47(10). 143–148. 1 indexed citations
15.
Liu, Ting, et al.. (2017). Dynamic monitoring of straw burned area using multi-source satellite remote sensing data.. Nongye gongcheng xuebao. 33(8). 153–159. 4 indexed citations
16.
Zhang, Yan, et al.. (2016). Monitoring of autumn crop straw burning fire points in Henan province based on MODIS data.. He'nan nongye kexue. 45(11). 149–154. 1 indexed citations
17.
Li, Zhijun, Kaicun Wang, Chunlüe Zhou, & Laigang Wang. (2015). Modelling the true monthly mean temperature from continuous measurements over global land. International Journal of Climatology. 36(4). 2103–2110. 12 indexed citations
18.
Guo, Yan, Zhou Shi, Jingyi Huang, et al.. (2015). Characterization of field scale soil variability using remotely and proximally sensed data and response surface method. Stochastic Environmental Research and Risk Assessment. 30(3). 859–869. 6 indexed citations
19.
Wang, Laigang, et al.. (2012). Impact of Meteorological Factors on Winter Wheat Yield in Middle and East Henan Province Based on Household Data. Zhongguo nongye qixiang. 33(1). 109–113. 1 indexed citations
20.
Fan, Lei, et al.. (2010). Monitoring of winter wheat area by remote sensing based on Cokriging.. Nongye gongcheng xuebao. 26(10). 206–211. 2 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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