Jining Yan

2.1k total citations
75 papers, 1.5k citations indexed

About

Jining Yan is a scholar working on Media Technology, Signal Processing and Global and Planetary Change. According to data from OpenAlex, Jining Yan has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Media Technology, 18 papers in Signal Processing and 18 papers in Global and Planetary Change. Recurrent topics in Jining Yan's work include Remote-Sensing Image Classification (19 papers), Data Management and Algorithms (14 papers) and Remote Sensing in Agriculture (12 papers). Jining Yan is often cited by papers focused on Remote-Sensing Image Classification (19 papers), Data Management and Algorithms (14 papers) and Remote Sensing in Agriculture (12 papers). Jining Yan collaborates with scholars based in China, United Kingdom and Belgium. Jining Yan's co-authors include Lizhe Wang, Albert Y. Zomaya, Yan Ma, Lin Mu, Weijing Song, Rajiv Ranjan, Runyu Fan, Xiaodao Chen, Wei Han and Dong Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Jining Yan

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jining Yan China 21 394 321 314 284 255 75 1.5k
Imed Riadh Farah Tunisia 22 548 1.4× 392 1.2× 390 1.2× 300 1.1× 393 1.5× 137 2.1k
Wei Feng China 24 318 0.8× 362 1.1× 213 0.7× 565 2.0× 295 1.2× 103 2.1k
LI Deren China 17 280 0.7× 304 0.9× 155 0.5× 179 0.6× 276 1.1× 142 1.8k
Xin Pan China 17 831 2.1× 408 1.3× 453 1.4× 196 0.7× 396 1.6× 83 1.9k
Silvia Liberata Ullo Italy 24 209 0.5× 230 0.7× 153 0.5× 340 1.2× 121 0.5× 107 1.9k
P. Blonda Italy 23 372 0.9× 466 1.5× 633 2.0× 497 1.8× 204 0.8× 84 1.7k
Liangcun Jiang China 14 828 2.1× 141 0.4× 381 1.2× 209 0.7× 530 2.1× 42 1.3k
Liang Wu China 23 383 1.0× 280 0.9× 88 0.3× 425 1.5× 121 0.5× 96 1.8k
Farhad Samadzadegan Iran 27 776 2.0× 182 0.6× 329 1.0× 242 0.9× 349 1.4× 128 1.9k

Countries citing papers authored by Jining Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jining Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jining Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jining Yan. A scholar is included among the top collaborators of Jining Yan 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 Jining Yan. Jining Yan 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.
Bian, Jia-Wang, et al.. (2025). High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 3530–3543.
2.
Yan, Jining, et al.. (2025). Multiscale Restoration of Missing Data in Optical Time-Series Images With Masked Spatial–Temporal Attention Network. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
3.
Jin, Ming, et al.. (2025). Semantic-TemporalNet: A Novel Urban Block Change Detection Method Based on Semantic Coherence Analysis. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
4.
Yan, Jining, et al.. (2025). Monthly monitoring of urban development and renewal at the block-level in China using Sentinel-2 time series. Remote Sensing of Environment. 332. 115070–115070.
5.
6.
Liu, Peng, et al.. (2025). A decade of deep learning for remote sensing spatiotemporal fusion: Advances, challenges, and opportunities. Information Fusion. 126. 103675–103675. 1 indexed citations
7.
Yan, Jining, et al.. (2025). New 30-m resolution dataset reveals declining soil erosion with regional increases across Chinese mainland (1990–2022). Remote Sensing of Environment. 323. 114681–114681. 2 indexed citations
8.
Yan, Jining, et al.. (2025). Full-Coverage Mapping of Daily High-Resolution XCO 2 Across China From 2015 to 2020 by Deep Learning-Based Spatio-Temporal Fusion. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 1 indexed citations
9.
Wang, Yuewei, et al.. (2024). Digital twin of earth: A novel information framework for managing a sustainable earth. 2(4). 100092–100092. 2 indexed citations
10.
Han, Wei, et al.. (2024). A novel framework for leveraging geological environment big data to assess sustainable development goals. 3(2). 100122–100122. 3 indexed citations
11.
Yan, Jining, et al.. (2024). High-resolution mapping of GDP using multi-scale feature fusion by integrating remote sensing and POI data. International Journal of Applied Earth Observation and Geoinformation. 129. 103812–103812. 8 indexed citations
12.
Yan, Jining, et al.. (2024). Time-series land cover change detection using deep learning-based temporal semantic segmentation. Remote Sensing of Environment. 305. 114101–114101. 35 indexed citations
13.
Huang, Jingwen, et al.. (2024). Submarine Landslide Identification Based on Improved DeepLabv3 with Spatial and Channel Attention. Remote Sensing. 16(22). 4205–4205. 2 indexed citations
14.
Yan, Jining, et al.. (2022). Large-Area Land-Cover Changes Monitoring With Time-Series Remote Sensing Images Using Transferable Deep Models. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 28 indexed citations
15.
Zhou, Kefa, Jinlin Wang, Shichao Cui, et al.. (2022). Regional metal pollution risk assessment based on a big data framework: A case study of the eastern Tianshan mining area, China. Ecological Indicators. 145. 109585–109585. 3 indexed citations
16.
Yan, Jining, et al.. (2022). Bayesian Temporal Tensor Factorization-Based Interpolation for Time-Series Remote Sensing Data With Large-Area Missing Observations. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 7 indexed citations
17.
Zhou, Kefa, Jinlin Wang, Shichao Cui, et al.. (2022). Regional metal pollution risk assessment based on a long short-term memory model: A case study of the South Altai Mountain mining area, China. Journal of Cleaner Production. 379. 134755–134755. 12 indexed citations
18.
Yan, Jining, et al.. (2022). Inter-Comparison of Four Models for Detecting Forest Fire Disturbance from MOD13A2 Time Series. Remote Sensing. 14(6). 1446–1446. 13 indexed citations
19.
Wang, Lizhe, et al.. (2021). Remote Sensing and Social Sensing Data Fusion for Fine-Resolution Population Mapping With a Multimodel Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 5973–5987. 37 indexed citations
20.
Fan, Runyu, Ruyi Feng, Lizhe Wang, Jining Yan, & Xiaohan Zhang. (2020). Semi-MCNN: A Semisupervised Multi-CNN Ensemble Learning Method for Urban Land Cover Classification Using Submeter HRRS Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4973–4987. 52 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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