Mengjiao Qin

576 total citations
20 papers, 408 citations indexed

About

Mengjiao Qin is a scholar working on Global and Planetary Change, Oceanography and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mengjiao Qin has authored 20 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 5 papers in Oceanography and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mengjiao Qin's work include Advanced Image Fusion Techniques (4 papers), Climate variability and models (4 papers) and Hydrological Forecasting Using AI (3 papers). Mengjiao Qin is often cited by papers focused on Advanced Image Fusion Techniques (4 papers), Climate variability and models (4 papers) and Hydrological Forecasting Using AI (3 papers). Mengjiao Qin collaborates with scholars based in China, France and Malaysia. Mengjiao Qin's co-authors include Zhenhong Du, Zhihang Li, Renyi Liu, Feng Zhang, Linshu Hu, Sensen Wu, Zhiyi Fu, Sébastien Mavromatis, Jean Séqueira and Lianjie Qin and has published in prestigious journals such as Geophysical Research Letters, Information Sciences and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Mengjiao Qin

19 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengjiao Qin China	10	105	69	67	65	59	20	408
Bo Ai China	14	109 1.0×	90 1.3×	45 0.7×	149 2.3×	124 2.1×	75	695
Bo Yan China	15	33 0.3×	115 1.7×	152 2.3×	76 1.2×	22 0.4×	67	521
Kai Ding China	13	122 1.2×	35 0.5×	100 1.5×	113 1.7×	28 0.5×	43	581
Karamjit Bhatia India	14	372 3.5×	75 1.1×	91 1.4×	91 1.4×	18 0.3×	41	834
Jinah Kim South Korea	11	58 0.6×	94 1.4×	59 0.9×	41 0.6×	110 1.9×	61	460
Bin Pan China	12	191 1.8×	149 2.2×	70 1.0×	27 0.4×	10 0.2×	38	574
Xiaoping Rui China	14	179 1.7×	23 0.3×	50 0.7×	74 1.1×	29 0.5×	86	689
Estanislau Lima Brazil	10	101 1.0×	29 0.4×	65 1.0×	184 2.8×	192 3.3×	18	493
Stefania Lanza Italy	13	109 1.0×	59 0.9×	87 1.3×	46 0.7×	43 0.7×	30	644
Yuming Lu China	10	55 0.5×	40 0.6×	40 0.6×	30 0.5×	9 0.2×	35	354

Countries citing papers authored by Mengjiao Qin

Since Specialization

Citations

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

Fields of papers citing papers by Mengjiao Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengjiao Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Mengjiao Qin. A scholar is included among the top collaborators of Mengjiao Qin 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 Mengjiao Qin. Mengjiao Qin 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

Gao, Yi, Mengjiao Qin, Sensen Wu, Feng Zhang, & Zhenhong Du. (2024). GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images. Remote Sensing. 16(4). 616–616. 3 indexed citations

Jing, Changfeng, et al.. (2024). A deep multi-scale neural networks for crime hotspot mapping prediction. Computers Environment and Urban Systems. 109. 102089–102089. 6 indexed citations

Qin, Mengjiao, et al.. (2023). Deep Learning‐Based Seasonal Forecast of Sea Ice Considering Atmospheric Conditions. Journal of Geophysical Research Atmospheres. 128(24). 6 indexed citations

Wang, Xin, Mengjiao Qin, Zhe Zhang, et al.. (2023). Typhoon cloud image prediction based on enhanced multi-scale deep neural network. Frontiers in Marine Science. 9. 2 indexed citations

Wu, Sensen, et al.. (2023). A generalized spatial autoregressive neural network method for three-dimensional spatial interpolation. Geoscientific model development. 16(10). 2777–2794. 6 indexed citations

Zhang, Wenqian, Zhirong Shen, Mengjiao Qin, & Guanglin Zhang. (2023). Two Time-Scale Energy and Spectrum Allocation for MEC Networks with Hybrid Energy Supplies. IEEE Transactions on Network Science and Engineering. 1–14. 4 indexed citations

Qin, Mengjiao, et al.. (2023). A Graph Memory Neural Network for Sea Surface Temperature Prediction. Remote Sensing. 15(14). 3539–3539. 10 indexed citations

Qin, Mengjiao, Linshu Hu, Lin Wan, et al.. (2023). Pacific Decadal Oscillation Forecasting With Spatiotemporal Embedding Network. Geophysical Research Letters. 50(16). 7 indexed citations

Xiong, Dan, et al.. (2023). Quantitative Assessment of the Impact of Extreme Events on Electricity Consumption. Energies. 17(1). 45–45.

10.

Ke, Feng, et al.. (2023). Joint Communication, Sensing and Computing for V2I Networks. 1–5. 1 indexed citations

11.

Zhu, Yilin, Sensen Wu, Mengjiao Qin, et al.. (2022). A deep learning crop model for adaptive yield estimation in large areas. International Journal of Applied Earth Observation and Geoinformation. 110. 102828–102828. 32 indexed citations

12.

Qin, Mengjiao, Zhenhong Du, Linshu Hu, et al.. (2022). Deep Learning for Multi‐Timescales Pacific Decadal Oscillation Forecasting. Geophysical Research Letters. 49(6). 9 indexed citations

13.

Hu, Linshu, Feng Zhang, Mengjiao Qin, et al.. (2021). A Dynamic Pyramid Tilling Method for Traffic Data Stream Based on Flink. IEEE Transactions on Intelligent Transportation Systems. 23(7). 6679–6688. 9 indexed citations

14.

Qin, Lianjie, et al.. (2021). Land use and land cover play weak roles in typhoon economic losses at the county level. Geomatics Natural Hazards and Risk. 12(1). 1287–1297. 6 indexed citations

15.

Qin, Mengjiao, Linshu Hu, Zhenhong Du, et al.. (2020). Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method. Remote Sensing. 12(12). 1937–1937. 18 indexed citations

16.

Qin, Mengjiao, Sébastien Mavromatis, Linshu Hu, et al.. (2020). Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement. Remote Sensing. 12(5). 758–758. 34 indexed citations

17.

Hu, Linshu, Mengjiao Qin, Feng Zhang, Zhenhong Du, & Renyi Liu. (2020). RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images. Remote Sensing. 13(1). 62–62. 30 indexed citations

18.

Qin, Mengjiao, Zhenhong Du, Feng Zhang, & Renyi Liu. (2019). A matrix completion-based multiview learning method for imputing missing values in buoy monitoring data. Information Sciences. 487. 18–30. 18 indexed citations

19.

Du, Zhenhong, Mengjiao Qin, Feng Zhang, & Renyi Liu. (2018). Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network. Knowledge-Based Systems. 160. 61–70. 41 indexed citations

20.

Qin, Mengjiao, Zhihang Li, & Zhenhong Du. (2017). Red tide time series forecasting by combining ARIMA and deep belief network. Knowledge-Based Systems. 125. 39–52. 166 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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