Ling Chang

1.7k total citations
89 papers, 1.3k citations indexed

About

Ling Chang is a scholar working on Aerospace Engineering, Atmospheric Science and Management, Monitoring, Policy and Law. According to data from OpenAlex, Ling Chang has authored 89 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Aerospace Engineering, 24 papers in Atmospheric Science and 20 papers in Management, Monitoring, Policy and Law. Recurrent topics in Ling Chang's work include Synthetic Aperture Radar (SAR) Applications and Techniques (46 papers), Cryospheric studies and observations (20 papers) and Landslides and related hazards (20 papers). Ling Chang is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (46 papers), Cryospheric studies and observations (20 papers) and Landslides and related hazards (20 papers). Ling Chang collaborates with scholars based in Netherlands, China and United States. Ling Chang's co-authors include Ramon F. Hanssen, Rolf Dollevoet, Mi Jiang, Rakesh Malhotra, Xiaoli Ding, Alfred Stein, Jian‐Hwa Guo, Jane P. F. Bai, Haoyu Wang and Freek van Leijen and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and American Journal of Clinical Nutrition.

In The Last Decade

Ling Chang

82 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Chang Netherlands 18 745 408 299 251 228 89 1.3k
Mi Jiang China 21 936 1.3× 343 0.8× 396 1.3× 207 0.8× 165 0.7× 63 1.3k
D. Mecatti Italy 20 752 1.0× 470 1.2× 429 1.4× 290 1.2× 195 0.9× 45 1.2k
Francesco Mugnai Italy 12 191 0.3× 522 1.3× 174 0.6× 89 0.4× 150 0.7× 39 833
Bing Xu China 18 532 0.7× 218 0.5× 287 1.0× 137 0.5× 49 0.2× 62 845
Bing Yu China 18 522 0.7× 280 0.7× 284 0.9× 137 0.5× 54 0.2× 77 1.2k
Hongdong Fan China 21 824 1.1× 272 0.7× 350 1.2× 443 1.8× 108 0.5× 59 1.3k
Giorgia Giardina Netherlands 19 395 0.5× 242 0.6× 68 0.2× 210 0.8× 782 3.4× 54 1.1k
Riccardo Salvini Italy 20 167 0.2× 522 1.3× 111 0.4× 114 0.5× 174 0.8× 77 1.4k
S. Silvano Italy 13 343 0.5× 945 2.3× 439 1.5× 67 0.3× 236 1.0× 20 1.1k
Wen Liu Japan 20 292 0.4× 141 0.3× 274 0.9× 186 0.7× 65 0.3× 97 1.2k

Countries citing papers authored by Ling Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Chang. A scholar is included among the top collaborators of Ling Chang 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 Ling Chang. Ling Chang 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.
Chang, Ling, et al.. (2025). Creating and leveraging SAR benchmark datasets to facilitate machine learning application. International Journal of Applied Earth Observation and Geoinformation. 142. 104722–104722.
2.
Dai, Keren, et al.. (2025). Improved Landslide Monitoring in Low-Coherence Mountainous Areas: A Coherence-Enhanced Multitemporal InSAR Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 20690–20707.
3.
He, Jun, et al.. (2025). Forecasting InSAR-derived slope movement from climate records at Baihetan reservoir. Engineering Geology. 356. 108302–108302.
4.
Chang, Ling, et al.. (2024). High‐Entropy Materials for Prospective Biomedical Applications: Challenges and Opportunities. Advanced Science. 11(42). e2406521–e2406521. 15 indexed citations
5.
Chang, Ling, et al.. (2024). A closer look into variables controlling hillslope deformations in the Three Gorges Reservoir Area. Engineering Geology. 337. 107584–107584. 4 indexed citations
6.
Wang, Chun‐Yong, Walter D. Mooney, X. Wang, et al.. (2024). Intra‐Continental Collision of the Tarim Basin and the Northern Tibetan Plateau. Journal of Geophysical Research Solid Earth. 129(7). 1 indexed citations
7.
Chang, Ling, et al.. (2024). Despeckling SAR Images With Log-Yeo–Johnson Transformation and Conditional Diffusion Models. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 8 indexed citations
8.
Wang, Chisheng, Ling Chang, Xiangsheng Wang, Bochen Zhang, & Alfred Stein. (2024). Interferometric Synthetic Aperture Radar Statistical Inference in Deformation Measurement and Geophysical Inversion: A review. IEEE Geoscience and Remote Sensing Magazine. 12(1). 8–35. 21 indexed citations
9.
Ren, Nana, et al.. (2024). Psychological Distress in Patients With Recurrent Ectopic Pregnancies: A Cross‐Sectional Study. Nursing Open. 11(11). e70069–e70069. 1 indexed citations
10.
Li, Bingquan, et al.. (2024). Unveiling spatial pattern in slope units-based landslides using a data-driven GAMM and InSAR techniques. Remote Sensing Letters. 15(10). 1085–1095.
11.
Wang, Chisheng, X. P. Qin, Tao Li, et al.. (2024). Three-dimensional lookup table for more precise SAR scatterers positioning in urban scenarios. ISPRS Journal of Photogrammetry and Remote Sensing. 209. 133–149. 6 indexed citations
12.
Marshall, Michael, et al.. (2023). Cropland Mapping in Tropical Smallholder Systems with Seasonally Stratified Sentinel-1 and Sentinel-2 Spectral and Textural Features. Remote Sensing. 15(12). 3014–3014. 8 indexed citations
13.
Chang, Ling & Yan Xia. (2023). Excavating the Potential of Photo‐ and Electroupcycling Platforms Toward a Sustainable Future for Waste Plastics. SHILAP Revista de lepidopterología. 4(2). 2300096–2300096. 5 indexed citations
14.
Luo, Xiaojun, et al.. (2023). Statistical Modeling of Shadows in SAR Imagery. Mathematics. 11(21). 4437–4437. 1 indexed citations
15.
Pankratius, Victor, et al.. (2019). Individual Scatterer Model Learning for Satellite Interferometry. IEEE Transactions on Geoscience and Remote Sensing. 58(2). 1273–1280. 16 indexed citations
16.
Chang, Ling, et al.. (2019). Assessment Of Sentinel-1 Products For Revealing Glacier Surface Movement In Indian Himalayas Using Differential Sar Interferometry. University of Twente Research Information. 2070–2073. 4 indexed citations
17.
Chang, Ling, Wei Song, Ke Xu, Jian Liu, & Tong Li. (2018). An improved image denoising method based on contourlet transform and NeighShrink algorithm. International Journal of Computer Applications in Technology. 57(2). 94–94. 1 indexed citations
18.
Pankratius, Victor, et al.. (2017). Information extraction from dynamic PS-InSAR time series using machine learning. 2017. 2 indexed citations
19.
Liu, Jian, et al.. (2010). The hybrid predictive model of elevator system for energy consumption. International Conference on Modelling, Identification and Control. 658–663. 5 indexed citations
20.
Bai, Jane P. F., Ling Chang, & Jian‐Hwa Guo. (1995). Effects of Polyacrylic Polymers on the Lumenal Proteolysis of Peptide Drugs in the Colon. Journal of Pharmaceutical Sciences. 84(11). 1291–1294. 44 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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