Chao Ruan

854 total citations
39 papers, 586 citations indexed

About

Chao Ruan is a scholar working on Ecology, Plant Science and Analytical Chemistry. According to data from OpenAlex, Chao Ruan has authored 39 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 16 papers in Plant Science and 12 papers in Analytical Chemistry. Recurrent topics in Chao Ruan's work include Remote Sensing in Agriculture (17 papers), Spectroscopy and Chemometric Analyses (12 papers) and Smart Agriculture and AI (9 papers). Chao Ruan is often cited by papers focused on Remote Sensing in Agriculture (17 papers), Spectroscopy and Chemometric Analyses (12 papers) and Smart Agriculture and AI (9 papers). Chao Ruan collaborates with scholars based in China, Hungary and Australia. Chao Ruan's co-authors include Wenjiang Huang, Huichun Ye, Yingying Dong, Huiqin Ma, Anting Guo, Yu Ren, Yun Geng, Linsheng Huang, Bo Liu and Wenbin Wu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and Remote Sensing.

In The Last Decade

Chao Ruan

33 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao Ruan China	13	353	301	193	84	65	39	586
G.W.A.M. van der Heijden Netherlands	18	620 1.8×	259 0.9×	378 2.0×	106 1.3×	34 0.5×	54	1.0k
Gercina Gonçalves da Silva Brazil	6	572 1.6×	220 0.7×	168 0.9×	66 0.8×	21 0.3×	9	720
Aqing Yang China	14	358 1.0×	237 0.8×	79 0.4×	91 1.1×	21 0.3×	22	727
Mads Dyrmann Denmark	15	969 2.7×	422 1.4×	254 1.3×	126 1.5×	42 0.6×	32	1.2k
Hervé Goëau France	12	630 1.8×	282 0.9×	179 0.9×	52 0.6×	23 0.4×	44	1.0k
Everton Castel�ão Tetila Brazil	9	463 1.3×	252 0.8×	124 0.6×	176 2.1×	21 0.3×	19	712
Sourav Bhadra United States	9	350 1.0×	328 1.1×	188 1.0×	94 1.1×	54 0.8×	16	584
Kaihua Wu China	12	485 1.4×	350 1.2×	262 1.4×	84 1.0×	46 0.7×	56	840
Anting Guo China	14	516 1.5×	465 1.5×	272 1.4×	124 1.5×	85 1.3×	31	767
Orly Enrique Apolo-Apolo Spain	9	442 1.3×	208 0.7×	146 0.8×	96 1.1×	18 0.3×	21	553

Countries citing papers authored by Chao Ruan

Since Specialization

Citations

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

Fields of papers citing papers by Chao Ruan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Ruan

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

All Works

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20 of 20 papers shown

Huang, Linsheng, et al.. (2025). Rapid mapping of soybean planting areas under complex crop structures: A modified GWCCI approach. Computers and Electronics in Agriculture. 235. 110326–110326. 3 indexed citations

Guo, Anting, Chao Ruan, Wenjiang Huang, et al.. (2025). Inversion of plant functional traits from hyperspectral imagery enhances the distinction of wheat stripe rust severity. Artificial Intelligence in Agriculture. 16(1). 206–223.

Zhang, Lu, et al.. (2025). SSSAT-Net: Spectral-Spatial Self-Attention-Based Transformer Network for hyperspectral image classification. Optics and Lasers in Engineering. 194. 109154–109154.

Li, Haidong, et al.. (2025). Enhancing crop disease recognition via prompt learning-based progressive Mixup and Contrastive Language-Image Pre-training dynamic calibration. Engineering Applications of Artificial Intelligence. 152. 110805–110805.

Li, Haidong, Chao Ruan, Jinling Zhao, et al.. (2024). Integrating high-frequency detail information for enhanced corn leaf disease recognition: A model utilizing fusion imagery. European Journal of Agronomy. 164. 127489–127489. 3 indexed citations

Li, Haidong, Linsheng Huang, Chao Ruan, et al.. (2024). A dual-branch neural network for crop disease recognition by integrating frequency domain and spatial domain information. Computers and Electronics in Agriculture. 219. 108843–108843. 14 indexed citations

Zhao, Jinling, et al.. (2024). Patch-based hierarchical residual spectral-spatial convolutional network for hyperspectral image classification. Signal Processing. 230. 109850–109850. 5 indexed citations

Xiao, Tian, et al.. (2024). Identification of soybean planting areas using Sentinel-1/2 remote sensing data: A combined approach of reduced redundancy feature optimization and ensemble learning. European Journal of Agronomy. 164. 127480–127480. 2 indexed citations

Li, Haidong, Jinling Zhao, Linsheng Huang, et al.. (2024). Automatic localization of image semantic patches for crop disease recognition. Applied Soft Computing. 165. 112076–112076.

10.

Huang, Wenjiang, Donghui Xie, Huichun Ye, et al.. (2023). Coupled maize model: A 4D maize growth model based on growing degree days. Computers and Electronics in Agriculture. 212. 108124–108124. 13 indexed citations

11.

Zhao, Jinling, Linsheng Huang, Wenjiang Huang, et al.. (2023). Development of new indices and use of CARS-Ridge algorithm for wheat fusarium head blight detection using in-situ hyperspectral data. Biosystems Engineering. 237. 13–25. 10 indexed citations

12.

Ruan, Chao, Yingying Dong, Wenjiang Huang, et al.. (2022). Integrating Remote Sensing and Meteorological Data to Predict Wheat Stripe Rust. Remote Sensing. 14(5). 1221–1221. 17 indexed citations

13.

Ruan, Chao, Yingying Dong, Wenjiang Huang, et al.. (2021). Prediction of Wheat Stripe Rust Occurrence with Time Series Sentinel-2 Images. Agriculture. 11(11). 1079–1079. 21 indexed citations

14.

Guo, Anting, Wenjiang Huang, Yingying Dong, et al.. (2021). Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology. Remote Sensing. 13(1). 123–123. 133 indexed citations

15.

Dong, Yingying, Linyi Liu, Xiaoping Du, et al.. (2020). Automatic System for Crop Pest and Disease Dynamic Monitoring and Early Forecasting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4410–4418. 45 indexed citations

16.

Guo, Anting, Wenjiang Huang, Huichun Ye, et al.. (2020). Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images. Remote Sensing. 12(9). 1419–1419. 93 indexed citations

17.

Geng, Yun, et al.. (2020). Review of locust remote sensing monitoring and early warning. National Remote Sensing Bulletin. 24(10). 1270–1279. 8 indexed citations

18.

Ma, Huiqin, Wenjiang Huang, Yuanshu Jing, et al.. (2019). Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery. Remote Sensing. 11(7). 846–846. 43 indexed citations

19.

Ruan, Chao, et al.. (2018). Wheat powdery mildew monitoring based on GF-1 remote sensing image and relief-mRMR-GASVM model.. Nongye gongcheng xuebao. 34(15). 167–175. 7 indexed citations

20.

Ruan, Chao & Zhibin Zhang. (2015). Laboratory domestication changed the expression patterns of oxytocin and vasopressin in brains of rats and mice. Anatomical Science International. 91(4). 358–370. 19 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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