Tong Yu

640 total citations
31 papers, 460 citations indexed

About

Tong Yu is a scholar working on Atmospheric Science, Environmental Engineering and Ecology. According to data from OpenAlex, Tong Yu has authored 31 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 7 papers in Environmental Engineering and 6 papers in Ecology. Recurrent topics in Tong Yu's work include Atmospheric chemistry and aerosols (9 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and LiDAR Applications (6 papers). Tong Yu is often cited by papers focused on Atmospheric chemistry and aerosols (9 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and LiDAR Applications (6 papers). Tong Yu collaborates with scholars based in China, United States and France. Tong Yu's co-authors include Jean Sciare, Benjamin Guinot, H. Cachier, Qi Li, Shaodong Xie, Limin Zeng, Xiaoyan Tang, Xin Wang, Yuanhang Zhang and Valérie Gros and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

Tong Yu

27 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tong Yu China	12	268	227	135	108	59	31	460
Fangwen Bao China	13	419 1.6×	348 1.5×	258 1.9×	216 2.0×	48 0.8×	27	698
Shuaiyi Shi China	16	425 1.6×	405 1.8×	310 2.3×	261 2.4×	61 1.0×	46	805
Yilong Zhao China	16	408 1.5×	352 1.6×	157 1.2×	256 2.4×	41 0.7×	38	743
Tomasz Danek Poland	11	111 0.4×	144 0.6×	92 0.7×	144 1.3×	30 0.5×	53	382
Shufu Liu China	6	93 0.3×	227 1.0×	114 0.8×	308 2.9×	116 2.0×	14	446
Wenhao Wang China	11	106 0.4×	198 0.9×	84 0.6×	155 1.4×	17 0.3×	26	354
Junwei Xu China	9	299 1.1×	281 1.2×	223 1.7×	91 0.8×	31 0.5×	18	505
Julia Fuchs Germany	13	280 1.0×	114 0.5×	270 2.0×	112 1.0×	30 0.5×	25	445
Yuxiang Yang China	16	356 1.3×	240 1.1×	193 1.4×	99 0.9×	29 0.5×	53	630
Xueming Zhou China	12	473 1.8×	443 2.0×	116 0.9×	166 1.5×	88 1.5×	33	691

Countries citing papers authored by Tong Yu

Since Specialization

Citations

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

Fields of papers citing papers by Tong Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ebrahimy, Hamid, Tong Yu, & Zhou Zhang. (2025). Developing a spatiotemporal fusion framework for generating daily UAV images in agricultural areas using publicly available satellite data. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 413–427. 2 indexed citations

Fan, Jiahao, et al.. (2025). Mitigating NDVI saturation in imagery of dense and healthy vegetation. ISPRS Journal of Photogrammetry and Remote Sensing. 227. 234–250. 1 indexed citations

Shi, Ying, Tong Yu, Huicong Yang, et al.. (2025). Phase Structure Regulation of PVDF‐based Polymers Toward Fast Ion‐Transport Kinetics and Stable Interface. Small. 21(49). e10390–e10390.

Yu, Tong, et al.. (2025). Pre-harvest estimation and contribution analysis of alfalfa quality traits using multi-type features and machine learning. International Journal of Remote Sensing. 46(13). 4832–4863.

Song, Limei, et al.. (2025). YOLO-VG: an efficient real-time recyclable waste detection network. Journal of Real-Time Image Processing. 22(2).

Yu, Tong, et al.. (2024). Evaluation of the Effect of Sentinel-1 SAR and Environmental Factors in Alfalfa Yield and Quality Estimation. Agronomy. 14(4). 859–859. 5 indexed citations

Chen, Jiang, Tong Yu, J. H. Cherney, & Zhou Zhang. (2024). Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring. Remote Sensing. 16(5). 734–734. 13 indexed citations

Yu, Tong, et al.. (2023). Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning. Remote Sensing. 15(16). 4108–4108. 16 indexed citations

Yu, Tong & Qingxiang Wu. (2023). HarDNet-CPS: Colorectal polyp segmentation based on Harmonic Densely United Network. Biomedical Signal Processing and Control. 85. 104953–104953. 18 indexed citations

10.

Yu, Tong, et al.. (2022). Dual Self-Adaptive Intelligent Optimization of Feature and Hyperparameter Determination in Constructing a DNN Based QSPR Property Prediction Model. Industrial & Engineering Chemistry Research. 61(32). 12052–12060. 6 indexed citations

11.

Yu, Tong, Wenjin Wu, Chen Gong, & Xinwu Li. (2021). Residual Multi-Attention Classification Network for A Forest Dominated Tropical Landscape Using High-Resolution Remote Sensing Imagery. ISPRS International Journal of Geo-Information. 10(1). 22–22. 11 indexed citations

12.

Roger, Jean‐Claude, et al.. (2009). Aerosol complexity in megacities: From size‐resolved chemical composition to optical properties of the Beijing atmospheric particles. Geophysical Research Letters. 36(18). 15 indexed citations

13.

Wang, Xiquan, et al.. (2008). Foreshowing of the Western Pacific tropical cyclone track to PM10 air pollution episode in the Beijing area. Science Bulletin. 54(5). 830–835. 10 indexed citations

14.

Yu, Tong. (2007). Boundary Layer Aerosol Monitoring by Lidar at Beijing in Winter.

15.

Li, Lingjun, et al.. (2007). Spatial distribution of aerosol pollution based on MODIS data over Beijing, China. Journal of Environmental Sciences. 19(8). 955–960. 30 indexed citations

16.

Gros, Valérie, Jean Sciare, & Tong Yu. (2007). Air-quality measurements in megacities: Focus on gaseous organic and particulate pollutants and comparison between two contrasted cities, Paris and Beijing. Comptes Rendus Géoscience. 339(11-12). 764–774. 36 indexed citations

17.

Liu, Wenqing, et al.. (2007). An atmospheric aerosol lidar and its experiment in Beijing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6824. 68240X–68240X. 2 indexed citations

18.

Chen, Tian, et al.. (2006). Characteristics of carbonaceous particles in Beijing during winter and summer 2003. Advances in Atmospheric Sciences. 23(3). 468–473. 20 indexed citations

19.

Guinot, Benjamin, et al.. (2005). Seasonal variations of number size distributions and mass concentrations of atmospheric particles in Beijing. Advances in Atmospheric Sciences. 22(3). 401–407. 17 indexed citations

20.

Xie, Shaodong, Tong Yu, Yuanhang Zhang, et al.. (2004). Characteristics of PM10, SO2, NOx and O3 in ambient air during the dust storm period in Beijing. The Science of The Total Environment. 345(1-3). 153–164. 94 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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