Dalton Lunga

1.1k total citations
59 papers, 693 citations indexed

About

Dalton Lunga is a scholar working on Media Technology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dalton Lunga has authored 59 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Media Technology, 22 papers in Artificial Intelligence and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dalton Lunga's work include Remote-Sensing Image Classification (26 papers), Advanced Neural Network Applications (11 papers) and Geographic Information Systems Studies (10 papers). Dalton Lunga is often cited by papers focused on Remote-Sensing Image Classification (26 papers), Advanced Neural Network Applications (11 papers) and Geographic Information Systems Studies (10 papers). Dalton Lunga collaborates with scholars based in United States, Germany and India. Dalton Lunga's co-authors include Okan K. Ersoy, Melba M. Crawford, Saurabh Prasad, H. Lexie Yang, Budhendra Bhaduri, Jiangye Yuan, Shawn Newsam, Yingjie Hu, Song Gao and Wenwen Li and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Dalton Lunga

52 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dalton Lunga United States 13 298 197 164 160 104 59 693
Kunlun Qi China 14 230 0.8× 185 0.9× 132 0.8× 149 0.9× 91 0.9× 35 600
H. Lexie Yang United States 14 421 1.4× 264 1.3× 223 1.4× 147 0.9× 70 0.7× 42 743
Xiaodao Chen China 17 221 0.7× 148 0.8× 157 1.0× 107 0.7× 137 1.3× 42 926
Weijing Song China 12 169 0.6× 90 0.5× 137 0.8× 99 0.6× 116 1.1× 33 588
Zhenyu Tan China 13 511 1.7× 298 1.5× 114 0.7× 183 1.1× 114 1.1× 39 969
Marjan Alirezaie Sweden 10 148 0.5× 178 0.9× 98 0.6× 63 0.4× 58 0.6× 26 480
Dongyang Hou China 17 224 0.8× 133 0.7× 65 0.4× 127 0.8× 208 2.0× 54 621
Lionel Gueguen Italy 15 425 1.4× 271 1.4× 124 0.8× 231 1.4× 325 3.1× 45 924
Laila Bashmal Saudi Arabia 10 332 1.1× 345 1.8× 181 1.1× 147 0.9× 33 0.3× 17 701

Countries citing papers authored by Dalton Lunga

Since Specialization
Citations

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

Fields of papers citing papers by Dalton Lunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalton Lunga

This figure shows the co-authorship network connecting the top 25 collaborators of Dalton Lunga. A scholar is included among the top collaborators of Dalton Lunga 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 Dalton Lunga. Dalton Lunga 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.
Tuccillo, Joe, Daniel Adams, Marie Urban, et al.. (2025). LandScan HD: a high-resolution gridded ambient population methodology for the world. Population and Environment. 47(4).
2.
Tsaris, Aristeidis, et al.. (2024). Pretraining Billion-Scale Geospatial Foundational Models on Frontier. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1036–1046. 2 indexed citations
3.
Verma, Ujjwal, Dalton Lunga, Ronny Hänsch, Claudio Persello, & Silvia Liberata Ullo. (2024). Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. IEEE Geoscience and Remote Sensing Letters. 21. 1–4. 1 indexed citations
4.
Hänsch, Ronny, et al.. (2024). Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses. elib (German Aerospace Center). 234–238.
5.
Dias, Philipe, et al.. (2024). Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2723–2728. 1 indexed citations
6.
Lunga, Dalton, Ronny Hänsch, Ujjwal Verma, et al.. (2023). ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go?. elib (German Aerospace Center). 1122–1125.
7.
Vivone, Gemine, Dalton Lunga, Francescopaolo Sica, et al.. (2023). Computer Vision for Earth Observation—The First IEEE GRSS Image Analysis and Data Fusion School [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 11(2). 95–100.
8.
Lunga, Dalton, Silvia Liberata Ullo, Ujjwal Verma, et al.. (2023). Analysis-Ready Data and FAIR-AI—Standardization of Research Collaboration and Transparency Across Earth-Observation Communities [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 11(2). 89–92. 2 indexed citations
9.
Hänsch, Ronny, et al.. (2023). SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters. elib (German Aerospace Center). 1241–1244. 1 indexed citations
10.
Lunga, Dalton, et al.. (2020). Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 6 indexed citations
11.
Elmes, Arthur, Hamed Alemohammad, K. K. Caylor, et al.. (2020). Accounting for Training Data Error in Machine Learning Applied to Earth Observations. Remote Sensing. 12(6). 1034–1034. 70 indexed citations
12.
Seal, Sudip K., et al.. (2020). Toward Large-Scale Image Segmentation on Summit. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 3 indexed citations
13.
Lunga, Dalton, et al.. (2019). Electricity consumption patterns within cities: application of a data-driven settlement characterization method. International Journal of Digital Earth. 13(1). 119–135. 24 indexed citations
14.
Lunga, Dalton. (2019). Artificial Intelligence. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2019(Q4). 16 indexed citations
15.
Hu, Yingjie, Song Gao, Dalton Lunga, et al.. (2019). GeoAI at ACM SIGSPATIAL. 11(2). 5–15. 34 indexed citations
16.
Deng, Xueqing, et al.. (2019). Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4955–4958. 28 indexed citations
17.
Hu, Yingjie, Song Gao, Shawn Newsam, & Dalton Lunga. (2019). GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI. 10(3). 16–16. 6 indexed citations
18.
Lunga, Dalton, et al.. (2018). Multilevel Semantic Labeling of Mobile Homes from Overhead Imagery. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6931–6934.
19.
Yang, H. Lexie, Dalton Lunga, & Jiangye Yuan. (2017). Toward country scale building detection with convolutional neural network using aerial images. 870–873. 17 indexed citations
20.
Lunga, Dalton & Okan K. Ersoy. (2011). Spherical Classification of Remote Sensing Data. 4(2). 75–95. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kunlun Qi Breakdown of academic impact, for papers by H. Lexie Yang Breakdown of academic impact, for papers by Xiaodao Chen Breakdown of academic impact, for papers by Weijing Song Breakdown of academic impact, for papers by Zhenyu Tan Breakdown of academic impact, for papers by Marjan Alirezaie Breakdown of academic impact, for papers by Dongyang Hou Breakdown of academic impact, for papers by Lionel Gueguen Breakdown of academic impact, for papers by Laila Bashmal
Rankless by CCL
2026