Donglai Jiao

676 total citations · 1 hit paper
36 papers, 448 citations indexed

About

Donglai Jiao is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Donglai Jiao has authored 36 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 9 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Donglai Jiao's work include Automated Road and Building Extraction (5 papers), Climate variability and models (5 papers) and Hydrology and Watershed Management Studies (4 papers). Donglai Jiao is often cited by papers focused on Automated Road and Building Extraction (5 papers), Climate variability and models (5 papers) and Hydrology and Watershed Management Studies (4 papers). Donglai Jiao collaborates with scholars based in China and Hong Kong. Donglai Jiao's co-authors include Fan Yang, Ke Xu, Haiyang Lv, Xiaoli Yang, Guan Gui, Tao Chen, Liliang Ren, Yuhang Wang, Hanshuo Zhang and S. S. Jiang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Donglai Jiao

27 papers receiving 431 citations

Hit Papers

Evaluation of spatial-temporal variation performance of E... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donglai Jiao China 9 278 180 120 94 34 36 448
Negin Hayatbini United States 8 302 1.1× 296 1.6× 103 0.9× 117 1.2× 25 0.7× 10 484
Minglei Ren China 10 297 1.1× 121 0.7× 184 1.5× 151 1.6× 32 0.9× 17 497
David F. Muñoz United States 13 365 1.3× 262 1.5× 138 1.1× 77 0.8× 44 1.3× 23 495
Jiayong Liang United States 8 269 1.0× 151 0.8× 103 0.9× 83 0.9× 15 0.4× 16 484
Yumeng Tao United States 12 253 0.9× 281 1.6× 113 0.9× 144 1.5× 25 0.7× 16 521
Satoru Oishi Japan 10 194 0.7× 109 0.6× 150 1.3× 65 0.7× 15 0.4× 85 438
Vinit Sehgal United States 12 350 1.3× 137 0.8× 228 1.9× 260 2.8× 17 0.5× 19 543
Chen-Min Kuo Taiwan 10 235 0.8× 98 0.5× 134 1.1× 192 2.0× 13 0.4× 14 422
Sogol Moradian Ireland 14 347 1.2× 171 0.9× 121 1.0× 70 0.7× 35 1.0× 23 491
Chongli Di China 10 141 0.5× 64 0.4× 119 1.0× 131 1.4× 18 0.5× 25 322

Countries citing papers authored by Donglai Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Donglai Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donglai Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Donglai Jiao. A scholar is included among the top collaborators of Donglai Jiao 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 Donglai Jiao. Donglai Jiao 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.
Wang, Yu, et al.. (2025). Robust Multimodal Road Extraction via Dual-Layer Evidential Fusion Networks for Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–11.
2.
Chen, Haipeng, Cheng Chang, Hao Huang, et al.. (2025). Joint Adaptive Modulation Coding and Power Optimization in Heterogeneous Networks Based on Constrained Deep Reinforcement Learning. IEEE Transactions on Wireless Communications. 25. 4186–4199.
3.
Zhao, Haitao, et al.. (2025). Adaptive Noise Trap of Layered Differential Privacy Against Privacy Leakage for Large-Scale Industrial Federated Learning. IEEE Transactions on Network Science and Engineering. 12(5). 4044–4059. 1 indexed citations
4.
Yang, Xiaoli, et al.. (2025). Propagation characteristics of meteorological drought to hydrological drought in China. Journal of Hydrology. 656. 133023–133023. 10 indexed citations
5.
Zhao, Haitao, et al.. (2025). Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction. Sensors. 25(5). 1590–1590. 1 indexed citations
6.
Jiao, Donglai, et al.. (2024). Bump Feature Detection Based on Spectrum Modeling of Discrete-Sampled, Non-Homogeneous Multi-Sensor Stream Data. Applied Sciences. 14(15). 6744–6744. 1 indexed citations
7.
Jiao, Donglai, et al.. (2024). A Hybrid CNN-Transformer Network for Object Detection in Optical Remote Sensing Images: Integrating Local and Global Feature Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 241–254. 3 indexed citations
8.
Wu, Chao, Shuo Yang, Donglai Jiao, et al.. (2024). Estimation of daily XCO2 at 1 km resolution in China using a spatiotemporal ResNet model. The Science of The Total Environment. 954. 176171–176171.
9.
Li, Xuwen, Sheng Jiang, Xiangyuan Wang, et al.. (2024). XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees. Atmosphere. 15(4). 440–440. 3 indexed citations
10.
Chen, Yixiang, et al.. (2023). Spatiotemporal prediction of carbon emissions using a hybrid deep learning model considering temporal and spatial correlations. Environmental Modelling & Software. 172. 105937–105937. 19 indexed citations
12.
Xu, Ke, et al.. (2023). Bump feature detection of the road surface based on the Bi-LSTM. Open Geosciences. 15(1). 3 indexed citations
13.
Tang, Tiantian, Donglai Jiao, & Guan Gui. (2023). Medium- and Long-Term Hydrological Forecasting Using Mutual Information and Random Forest Predictors Selector. 8. 1428–1433. 1 indexed citations
14.
Wang, Xiangyuan, et al.. (2023). Spatial Downscaling of GPM Satellite Precipitation Data Using Extreme Random Trees. Atmosphere. 14(10). 1489–1489. 2 indexed citations
15.
Wu, Fan, et al.. (2023). Evaluation of NEX-GDDP-CMIP6 in simulation performance and drought capture utility over China – based on DISO. Hydrology research. 54(5). 703–721. 38 indexed citations
16.
Jiao, Donglai, et al.. (2021). Evaluation of spatial-temporal variation performance of ERA5 precipitation data in China. Scientific Reports. 11(1). 17956–17956. 203 indexed citations breakdown →
17.
Jiao, Donglai, et al.. (2018). A New Map Symbol Design Method for Real-Time Visualization of Geo-Sensor Data (Short Paper). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 6. 1 indexed citations
18.
Yang, Xiaoli, Liliang Ren, Yi Liu, Donglai Jiao, & S. S. Jiang. (2014). Hydrological response to land use and land cover changes in a sub-watershed of West Liaohe River Basin, China. Journal of Arid Land. 6(6). 678–689. 27 indexed citations
19.
Jiao, Donglai. (2012). GML Data Parsing Method Based on Simple Access Interface. Jisuanji gongcheng.
20.
Zhang, Shuliang, et al.. (2007). Parsing GML data based on integrative GML syntactic and semantic schemas database. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6753. 67530X–67530X. 1 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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