Jianglu Chen

406 total citations
19 papers, 335 citations indexed

About

Jianglu Chen is a scholar working on Plant Science, Agronomy and Crop Science and Ecology. According to data from OpenAlex, Jianglu Chen has authored 19 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Agronomy and Crop Science and 5 papers in Ecology. Recurrent topics in Jianglu Chen's work include Crop Yield and Soil Fertility (7 papers), Remote Sensing in Agriculture (5 papers) and Remote Sensing and Land Use (5 papers). Jianglu Chen is often cited by papers focused on Crop Yield and Soil Fertility (7 papers), Remote Sensing in Agriculture (5 papers) and Remote Sensing and Land Use (5 papers). Jianglu Chen collaborates with scholars based in China, France and Bulgaria. Jianglu Chen's co-authors include Shaokun Li, Peng Hou, Bo Ming, Ruizhi Xie, Guoqiang Zhang, Jun Xue, Keru Wang, Wanmao Liu, Guangzhou Liu and Dongping Shen and has published in prestigious journals such as The Science of The Total Environment, Crop Science and Agronomy Journal.

In The Last Decade

Jianglu Chen

19 papers receiving 323 citations

Peers

Jianglu Chen

ACS

ECOLO

GPC

Limin Gu China

Alexandre C. Rocateli United States

Gurjinder S. Baath United States

Sushil Thapa United States

Dali Wu China

Seyed Farhad Saberali Iran

Adrián A. Correndo United States

Yulong Dai China

Syed Aftab Wajid Pakistan

Thomas Newton Martin Brazil

Limin Gu China

Jianglu Chen

318 ×1.4

209 ×1.0

ACS

196 ×1.7

47 ×1.1

ECOLO

28 ×0.7

GPC

Citations per year, relative to Jianglu Chen Jianglu Chen (= 1×) peers Limin Gu

Countries citing papers authored by Jianglu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jianglu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianglu Chen

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

All Works

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19 of 19 papers shown

Zhang, Guoqiang, Bo Ming, Jianglu Chen, et al.. (2023). Reducing plastic film mulching and optimizing agronomic management can ensure food security and reduce carbon emissions in irrigated maize areas. The Science of The Total Environment. 883. 163507–163507. 9 indexed citations

Wang, Feng, Ruizhi Xie, Bo Ming, et al.. (2021). Dry matter accumulation after silking and kernel weight are the key factors for increasing maize yield and water use efficiency. Agricultural Water Management. 254. 106938–106938. 51 indexed citations

Wang, Feng, Junfu Xiao, Bo Ming, et al.. (2021). Grain yields and evapotranspiration dynamics of drip-irrigated maize under high plant density across arid to semi-humid climates. Agricultural Water Management. 247. 106726–106726. 38 indexed citations

Wang, Qun, Jun Xue, Guoqiang Zhang, et al.. (2020). Nitrogen Split Application Can Improve the Stalk Lodging Resistance of Maize Planted at High Density. Agriculture. 10(8). 364–364. 22 indexed citations

Wang, Qun, Jun Xue, Jianglu Chen, et al.. (2020). Key indicators affecting maize stalk lodging resistance of different growth periods under different sowing dates. Journal of Integrative Agriculture. 19(10). 2419–2428. 29 indexed citations

Zhang, Guoqiang, Dongping Shen, Ruizhi Xie, et al.. (2020). Optimizing planting density to improve nitrogen use of super high‐yield maize. Agronomy Journal. 112(5). 4147–4158. 33 indexed citations

Liu, Guangzhou, Peng Hou, Ruizhi Xie, et al.. (2019). Nitrogen Uptake and Response to Radiation Distribution in the Canopy of High‐Yield Maize. Crop Science. 59(3). 1236–1247. 41 indexed citations

Zhang, Guoqiang, Dongping Shen, Bo Ming, et al.. (2019). Using irrigation intervals to optimize water-use efficiency and maize yield in Xinjiang, northwest China. The Crop Journal. 7(3). 322–334. 72 indexed citations

Ming, Bo, Keru Wang, Chaowei Liu, et al.. (2018). Analysis of sowing and harvesting allocation of maize based on cultivar maturity and grain dehydration characteristics.. Zhongguo nongye Kexue. 51(10). 1890–1898. 1 indexed citations

10.

Chen, Jianglu, Jian Li, & Fei Hu. (2013). SR-IOV based Virtual Network Sharing. 213–218. 1 indexed citations

11.

Chen, Jianglu. (2011). Monitoring of Cotton Growing Based on Hyperspectral Parameters. Xibei nongye xuebao. 3 indexed citations

12.

Chen, Bing, Keru Wang, Shaokun Li, et al.. (2011). Monitoring Cotton Field with Suspected Verticillium wilt Using Satellite Remote Sensing with TM Satellite Image as an Example. ACTA AGRONOMICA SINICA. 38(1). 129–139. 1 indexed citations

13.

Wang, F., Keru Wang, Shaokun Li, et al.. (2011). Estimation of Canopy Leaf Nitrogen Status Using Imaging Spectrometer and Digital Camera in Cotton. ACTA AGRONOMICA SINICA. 37(6). 1039–1048. 5 indexed citations

14.

Chen, Bing, Keru Wang, Shaokun Li, et al.. (2011). Estimating Severity Level of Cotton Infected <I>Verticillium Wilt</I> Based on Spectral Indices of TM Image. Sensor Letters. 9(3). 1157–1163. 8 indexed citations

15.

Wang, Keru, Shaokun Li, Bing Chen, et al.. (2011). [Monitoring models of the plant nitrogen content based on cotton canopy hyperspectral reflectance].. PubMed. 31(7). 1868–72. 5 indexed citations

16.

Li, Shaokun, et al.. (2010). Monitoring of soil nitrogen and plant nitrogen based on hyperspectral of cotton canopy.. Mianhua xuebao. 22(1). 70–76. 3 indexed citations

17.

Wang, F., Keru Wang, Shaokun Li, Bing Chen, & Jianglu Chen. (2010). Estimation of chlorophyll and nitrogen contents in cotton leaves using digital camera and imaging spectrometer.. ACTA AGRONOMICA SINICA. 36(11). 1981–1989. 3 indexed citations

18.

Chen, Bing, et al.. (2010). [Study on spectrum characteristics of cotton leaf and its estimating with remote sensing under aphid stress].. PubMed. 30(11). 3093–7. 2 indexed citations

19.

Chen, Jianglu. (2007). Spectrum Characteristics of Cotton Single Leaf Infected by Verticillium Wilt and Estimation on Severity Level of Disease. Zhongguo nongye Kexue. 8 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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