Jiange Jiang

561 total citations
15 papers, 374 citations indexed

About

Jiange Jiang is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Jiange Jiang has authored 15 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 7 papers in Global and Planetary Change and 4 papers in Water Science and Technology. Recurrent topics in Jiange Jiang's work include Hydrological Forecasting Using AI (7 papers), Flood Risk Assessment and Management (7 papers) and Hydrology and Watershed Management Studies (4 papers). Jiange Jiang is often cited by papers focused on Hydrological Forecasting Using AI (7 papers), Flood Risk Assessment and Management (7 papers) and Hydrology and Watershed Management Studies (4 papers). Jiange Jiang collaborates with scholars based in China, Austria and Italy. Jiange Jiang's co-authors include Chen Chen, Qingqi Pei, Ning Lv, Yang Zhou, Shaohua Wan, Siyu Li, Hao Wang, Lei Liu, Lanlan Chen and Cong Li and has published in prestigious journals such as Journal of Hydrology, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jiange Jiang

14 papers receiving 359 citations

Peers

Jiange Jiang
Tao Ren China
Hyunhee Park South Korea
Tuo Xie China
Steven J. Johnston United Kingdom
Kevin Weekly United States
Thanh-Tung Nguyen South Korea
Tao Ren China
Jiange Jiang
Citations per year, relative to Jiange Jiang Jiange Jiang (= 1×) peers Tao Ren

Countries citing papers authored by Jiange Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jiange Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiange Jiang

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

All Works

15 of 15 papers shown
3.
Jiang, Jiange, Chen Chen, Stefano Berretti, et al.. (2024). Heterogeneous Dynamic Graph Convolutional Networks for Enhanced Spatiotemporal Flood Forecasting by Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 3108–3122. 19 indexed citations
4.
Jiang, Jiange, et al.. (2024). MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction. Remote Sensing. 17(1). 77–77. 1 indexed citations
6.
Chen, Chen, et al.. (2022). Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network. Remote Sensing. 14(5). 1076–1076. 25 indexed citations
7.
Lv, Ning, et al.. (2022). Water Gauge Image Augmentation based on Generative Adversarial Network. 27. 154–160. 2 indexed citations
8.
Chen, Chen, et al.. (2022). A short-term flood prediction based on spatial deep learning network: A case study for Xi County, China. Journal of Hydrology. 607. 127535–127535. 74 indexed citations
9.
Chen, Chen, et al.. (2022). An edge intelligence empowered flooding process prediction using Internet of things in smart city. Journal of Parallel and Distributed Computing. 165. 66–78. 80 indexed citations
10.
Chen, Chen, et al.. (2022). An Integrated Method for River Water Level Recognition from Surveillance Images Using Convolution Neural Networks. Remote Sensing. 14(23). 6023–6023. 12 indexed citations
11.
Chen, Chen, et al.. (2021). Flood Discharge Prediction Based on Remote-Sensed Spatiotemporal Features Fusion and Graph Attention. Remote Sensing. 13(24). 5023–5023. 11 indexed citations
12.
Chen, Chen, et al.. (2021). A deep learning based non-intrusive household load identification for smart grid in China. Computer Communications. 177. 176–184. 23 indexed citations
13.
Chen, Chen, et al.. (2021). An Intelligent Caching Strategy Considering Time-Space Characteristics in Vehicular Named Data Networks. IEEE Transactions on Intelligent Transportation Systems. 23(10). 19655–19667. 40 indexed citations
14.
Chen, Chen, Jiange Jiang, Ning Lv, & Siyu Li. (2020). An Intelligent Path Planning Scheme of Autonomous Vehicles Platoon Using Deep Reinforcement Learning on Network Edge. IEEE Access. 8. 99059–99069. 53 indexed citations
15.
Chen, Chen, Lei Liu, Tie Qiu, et al.. (2020). Routing With Traffic Awareness and Link Preference in Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. 23(1). 200–214. 31 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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