Runmin Dong

1.2k total citations
39 papers, 863 citations indexed

About

Runmin Dong is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Runmin Dong has authored 39 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Media Technology, 17 papers in Computer Vision and Pattern Recognition and 16 papers in Ecology. Recurrent topics in Runmin Dong's work include Remote-Sensing Image Classification (13 papers), Advanced Image Fusion Techniques (9 papers) and Remote Sensing in Agriculture (9 papers). Runmin Dong is often cited by papers focused on Remote-Sensing Image Classification (13 papers), Advanced Image Fusion Techniques (9 papers) and Remote Sensing in Agriculture (9 papers). Runmin Dong collaborates with scholars based in China, Hong Kong and Germany. Runmin Dong's co-authors include Haohuan Fu, Weijia Li, Le Yu, Lixian Zhang, Juepeng Zheng, Peng Gong, Jie Wang, Shuai Yuan, Wenzhao Wu and Lin Gan and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Runmin Dong

36 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runmin Dong China 15 343 315 266 244 190 39 863
Juepeng Zheng China 18 323 0.9× 320 1.0× 340 1.3× 230 0.9× 160 0.8× 51 1.0k
Mario Lillo‐Saavedra Chile 18 244 0.7× 286 0.9× 194 0.7× 133 0.5× 362 1.9× 52 913
Wenzhao Wu China 15 206 0.6× 147 0.5× 155 0.6× 115 0.5× 96 0.5× 28 687
Mohammad D. Hossain Canada 5 225 0.7× 238 0.8× 185 0.7× 98 0.4× 148 0.8× 10 595
J. A. Recio Spain 12 270 0.8× 208 0.7× 275 1.0× 50 0.2× 211 1.1× 29 624
Alireza Hamedianfar Malaysia 14 229 0.7× 220 0.7× 221 0.8× 29 0.1× 152 0.8× 21 515
Thales Sehn Körting Brazil 13 359 1.0× 205 0.7× 161 0.6× 52 0.2× 342 1.8× 84 707
Lloyd Haydn Hughes Germany 11 162 0.5× 461 1.5× 151 0.6× 519 2.1× 120 0.6× 25 1.1k
Thorsten Hoeser Germany 6 109 0.3× 126 0.4× 150 0.6× 113 0.5× 106 0.6× 8 472

Countries citing papers authored by Runmin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Runmin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runmin Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Runmin Dong. A scholar is included among the top collaborators of Runmin Dong 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 Runmin Dong. Runmin Dong 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.
Yu, Jinhua, Dairong Chen, Yi Lin, et al.. (2025). Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning. International Journal of Applied Earth Observation and Geoinformation. 137. 104386–104386. 2 indexed citations
2.
Zheng, Juepeng, et al.. (2025). Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 37(1). 233–246.
3.
Dong, Runmin, Shuai Yuan, Litong Feng, et al.. (2025). Transferable image synthesis for remote sensing semantic segmentation via joint reference-semantic fusion. Information Fusion. 127. 103839–103839.
4.
Tong, Xinyi, Runmin Dong, & Xiao Xiang Zhu. (2025). Global high categorical resolution land cover mapping via weak supervision. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 535–549. 4 indexed citations
5.
Yuan, Shuai, Lixian Zhang, Runmin Dong, et al.. (2024). Relational Part-Aware Learning for Complex Composite Object Detection in High-Resolution Remote Sensing Images. IEEE Transactions on Cybernetics. 54(10). 6118–6131. 9 indexed citations
6.
Zhang, Jinxiao, et al.. (2024). Spatial-Temporal Context Model for Remote Sensing Imagery Compression. 6063–6072. 2 indexed citations
7.
Li, Weijia, Lingxuan Meng, Jinwang Wang, et al.. (2024). Weakly Supervised 3-D Building Reconstruction From Monocular Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 3 indexed citations
8.
Zheng, Juepeng, Shuai Yuan, Weijia Li, et al.. (2024). Open-set domain adaptation for scene classification using multi-adversarial learning. ISPRS Journal of Photogrammetry and Remote Sensing. 208. 245–260. 28 indexed citations
9.
Dong, Runmin, Shuai Yuan, Jinxiao Zhang, et al.. (2024). Building Bridges Across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model. 27674–27684. 17 indexed citations
10.
Zhang, Lixian, et al.. (2024). COGRASP: Co-Occurrence Graph Based Stock Price Forecasting. 7527–7535. 2 indexed citations
11.
Yuan, Shuai, Juepeng Zheng, Lixian Zhang, et al.. (2023). MUREN: MUltistage Recursive Enhanced Network for Coal-Fired Power Plant Detection. Remote Sensing. 15(8). 2200–2200. 5 indexed citations
12.
Li, Qingmei, Juepeng Zheng, Shuai Yuan, et al.. (2023). RAV model: Study on urban refined climate environment assessment and ventilation corridors construction. Building and Environment. 248. 111080–111080. 12 indexed citations
13.
Zheng, Juepeng, Wenzhao Wu, Shuai Yuan, et al.. (2021). A Two-Stage Adaptation Network (TSAN) for Remote Sensing Scene Classification in Single-Source-Mixed-Multiple-Target Domain Adaptation (S²M²T DA) Scenarios. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 32 indexed citations
14.
Dong, Runmin, et al.. (2021). High-Resolution Land Cover Mapping Through Learning With Noise Correction. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 37 indexed citations
15.
Zhang, Lixian, Runmin Dong, Shuai Yuan, et al.. (2021). Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction. Remote Sensing. 13(15). 2872–2872. 22 indexed citations
16.
Zhang, Lixian, Zhehao Ren, Runmin Dong, Bing Xu, & Haohuan Fu. (2021). Monitoring Daily Nighttime Light Based on Modis and Deep Learning: A Belgium Case Study. 5032–5035. 4 indexed citations
17.
Dong, Runmin, Lixian Zhang, & Haohuan Fu. (2021). RRSGAN: Reference-Based Super-Resolution for Remote Sensing Image. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 81 indexed citations
18.
Zheng, Juepeng, Haohuan Fu, Weijia Li, et al.. (2020). Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network. ISPRS Journal of Photogrammetry and Remote Sensing. 167. 154–177. 72 indexed citations
19.
Zheng, Juepeng, et al.. (2019). Large-Scale Oil Palm Tree Detection from High-Resolution Remote Sensing Images Using Faster-RCNN. 1422–1425. 31 indexed citations
20.
Dong, Runmin, Weijia Li, Haohuan Fu, et al.. (2019). Oil palm plantation mapping from high-resolution remote sensing images using deep learning. International Journal of Remote Sensing. 41(5). 2022–2046. 34 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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