Cheng-Ru Chen

831 total citations
26 papers, 657 citations indexed

About

Cheng-Ru Chen is a scholar working on Ecology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Cheng-Ru Chen has authored 26 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 10 papers in Atmospheric Science and 9 papers in Global and Planetary Change. Recurrent topics in Cheng-Ru Chen's work include Remote Sensing in Agriculture (18 papers), Remote Sensing and Land Use (10 papers) and Urban Heat Island Mitigation (5 papers). Cheng-Ru Chen is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Remote Sensing and Land Use (10 papers) and Urban Heat Island Mitigation (5 papers). Cheng-Ru Chen collaborates with scholars based in Taiwan, Vietnam and United States. Cheng-Ru Chen's co-authors include Nguyễn Thanh Sơn, Chi-Farn Chen, L. Y. Chang, Võ Quang Minh, Chien‐Fu Chen, Xuan‐Thanh Bui, Youg-Sin Cheng, Shou‐Hao Chiang, Miguel Valdez and Piero Toscano and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Cheng-Ru Chen

24 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng-Ru Chen Taiwan	11	430	293	224	218	160	26	657
Mahlatse Kganyago South Africa	12	262 0.6×	254 0.9×	154 0.7×	128 0.6×	124 0.8×	49	639
Anne Jacquin France	11	389 0.9×	257 0.9×	163 0.7×	74 0.3×	208 1.3×	16	636
Shenghui Fang China	15	440 1.0×	210 0.7×	276 1.2×	178 0.8×	242 1.5×	29	677
Dedi Yang United States	13	387 0.9×	253 0.9×	184 0.8×	157 0.7×	133 0.8×	30	648
Andrii Kolotii Ukraine	12	320 0.7×	266 0.9×	130 0.6×	87 0.4×	125 0.8×	29	584
Nanfeng Liu China	12	347 0.8×	300 1.0×	211 0.9×	226 1.0×	115 0.7×	18	660
Chong Luo China	16	427 1.0×	136 0.5×	396 1.8×	85 0.4×	132 0.8×	48	802
Michel Eustáquio Dantas Chaves Brazil	13	328 0.8×	334 1.1×	160 0.7×	92 0.4×	65 0.4×	38	634
Yuanyong Dian China	15	357 0.8×	170 0.6×	268 1.2×	103 0.5×	102 0.6×	43	594

Countries citing papers authored by Cheng-Ru Chen

Since Specialization

Citations

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

Fields of papers citing papers by Cheng-Ru Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-Ru Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Ru Chen. A scholar is included among the top collaborators of Cheng-Ru 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 Cheng-Ru Chen. Cheng-Ru 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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20 of 20 papers shown

Sơn, Nguyễn Thanh, Chi-Farn Chen, Youg-Sin Cheng, et al.. (2024). Machine learning-based early prediction of rice-growing fields using multi-temporal Sentinel-1 synthetic aperture radar and Sentinel-2 multispectral data. Journal of Applied Remote Sensing. 18(3).

Sơn, Nguyễn Thanh, et al.. (2021). A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan. International Journal of Remote Sensing. 42(7). 2722–2739. 35 indexed citations

Sơn, Nguyễn Thanh, et al.. (2020). Machine learning approaches for rice crop yield predictions using time-series satellite data in Taiwan. International Journal of Remote Sensing. 41(20). 7868–7888. 45 indexed citations

Sơn, Nguyễn Thanh, et al.. (2020). Classification of multitemporal Sentinel-2 data for field-level monitoring of rice cropping practices in Taiwan. Advances in Space Research. 65(8). 1910–1921. 49 indexed citations

Sơn, Nguyễn Thanh, Chi-Farn Chen, & Cheng-Ru Chen. (2019). Flood assessment using multi-temporal remotely sensed data in Cambodia. Geocarto International. 36(9). 1044–1059. 8 indexed citations

Sơn, Nguyễn Thanh, et al.. (2018). Characterizing Urbanization Effects on Land Surface Temperature in the Capital City of El Salvador. EGUGA. 5664. 1 indexed citations

Sơn, Nguyễn Thanh, et al.. (2018). Multitemporal Landsat-MODIS fusion for cropland drought monitoring in El Salvador. Geocarto International. 34(12). 1363–1383. 9 indexed citations

Sơn, Nguyễn Thanh, et al.. (2017). Assessment of urbanization and urban heat islands in Ho Chi Minh City, Vietnam using Landsat data. Sustainable Cities and Society. 30. 150–161. 89 indexed citations

Sơn, Nguyễn Thanh, Chi-Farn Chen, & Cheng-Ru Chen. (2017). Mapping Mangrove Density from Rapideye Data in Central America. Open Geosciences. 9(1). 10 indexed citations

10.

Chen, Cheng-Ru, et al.. (2016). MINING SPATIOTEMPORAL PATTERNS OF THE ELDER’S DAILY MOVEMENT. SHILAP Revista de lepidopterología. XLI-B2. 505–507. 1 indexed citations

11.

Sơn, Nguyễn Thanh, Chi-Farn Chen, L. Y. Chang, et al.. (2016). A logistic-based method for rice monitoring from multitemporal MODIS-Landsat fusion data. European Journal of Remote Sensing. 49(1). 39–56. 13 indexed citations

12.

Chen, Cheng-Ru, et al.. (2016). MINING SPATIOTEMPORAL PATTERNS OF THE ELDER’S DAILY MOVEMENT. The international archives of the photogrammetry, remote sensing and spatial information sciences. XLI-B2. 505–507. 1 indexed citations

13.

Chen, Chi-Farn, Nguyễn Thanh Sơn, Cheng-Ru Chen, et al.. (2016). Drought monitoring in cultivated areas of Central America using multi-temporal MODIS data. Geomatics Natural Hazards and Risk. 8(2). 402–417. 30 indexed citations

14.

Chen, Chi-Farn, et al.. (2015). Rice crop mapping with RADARSAT-2 data in the middle of Taiwan. 1 indexed citations

15.

Sơn, Nguyễn Thanh, et al.. (2015). Mapping urban growth of the capital city of Honduras from Landsat data using the impervious surface fraction algorithm. Geocarto International. 31(3). 328–341. 7 indexed citations

16.

Sơn, Nguyễn Thanh, Chi-Farn Chen, & Cheng-Ru Chen. (2015). Satellite-based damage assessment of rice growing areas after the 2011 Tsunami in Japan. 1 indexed citations

17.

Sơn, Nguyễn Thanh, et al.. (2013). Prediction of rice crop yield using MODIS EVI−LAI data in the Mekong Delta, Vietnam. International Journal of Remote Sensing. 34(20). 7275–7292. 77 indexed citations

18.

Sơn, Nguyễn Thanh, et al.. (2013). A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, Vietnam. Remote Sensing. 6(1). 135–156. 128 indexed citations

19.

Sơn, Nguyễn Thanh, Chien‐Fu Chen, & Cheng-Ru Chen. (2011). Investigating agro-drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8174. 817411–817411. 1 indexed citations

20.

Chen, Chien‐Fu, et al.. (2011). Classification of rice cropping systems by empirical mode decomposition and linear mixture model for time-series MODIS 250 m NDVI data in the Mekong Delta, Vietnam. International Journal of Remote Sensing. 32(18). 5115–5134. 33 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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