Lena Chang

999 total citations · 1 hit paper
51 papers, 744 citations indexed

About

Lena Chang is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Lena Chang has authored 51 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Media Technology. Recurrent topics in Lena Chang's work include Remote-Sensing Image Classification (15 papers), Remote Sensing and Land Use (10 papers) and Atmospheric aerosols and clouds (8 papers). Lena Chang is often cited by papers focused on Remote-Sensing Image Classification (15 papers), Remote Sensing and Land Use (10 papers) and Atmospheric aerosols and clouds (8 papers). Lena Chang collaborates with scholars based in Taiwan, United States and Malaysia. Lena Chang's co-authors include Yang-Lang Chang, Yi Chun Wang, Yi-Ting Chen, J.R. Wang, Jung-Hua Wang, Tan-Hsu Tan, John M. Wallace, Kun‐Shan Chen, Bormin Huang and Shun‐Hsyung Chang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of the Atmospheric Sciences and IEEE Access.

In The Last Decade

Lena Chang

47 papers receiving 711 citations

Hit Papers

Ship Detection Based on YOLOv2 for SAR Imagery 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ship Detection Based on YOLOv2 for SAR Imagery
    2019 256 citations Yang-Lang Chang, Lena Chang et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lena Chang Taiwan 14 240 213 207 165 109 51 744
Jianhua Wan China 17 175 0.7× 164 0.8× 103 0.5× 193 1.2× 88 0.8× 78 893
Corneliu Octavian Dumitru Germany 13 216 0.9× 197 0.9× 86 0.4× 251 1.5× 41 0.4× 49 611
Maryam Rahnemoonfar United States 17 288 1.2× 93 0.4× 231 1.1× 99 0.6× 77 0.7× 65 1.1k
Yuanfeng Wu China 12 263 1.1× 105 0.5× 192 0.9× 418 2.5× 57 0.5× 52 802
Vladimir A. Krylov Italy 12 172 0.7× 201 0.9× 74 0.4× 226 1.4× 54 0.5× 34 598
Lionel Bombrun France 15 175 0.7× 298 1.4× 257 1.2× 289 1.8× 91 0.8× 44 988
Yong Xue China 12 319 1.3× 196 0.9× 143 0.7× 316 1.9× 108 1.0× 65 934
Ling Wan China 18 221 0.9× 170 0.8× 191 0.9× 267 1.6× 92 0.8× 58 1.1k
Mingming Xu China 19 258 1.1× 249 1.2× 220 1.1× 411 2.5× 52 0.5× 117 1.2k
P. Dewaele Belgium 4 404 1.7× 178 0.8× 93 0.4× 249 1.5× 92 0.8× 6 784

Countries citing papers authored by Lena Chang

Since Specialization
Citations

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

Fields of papers citing papers by Lena Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lena Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Lena Chang. A scholar is included among the top collaborators of Lena 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 Lena Chang. Lena 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, Lena, Yi-Ting Chen, & Yang-Lang Chang. (2024). A Modified U-Net for Oil Spill Semantic Segmentation in Sar Images. 2945–2948. 1 indexed citations
2.
Chang, Lena, et al.. (2023). A Deep Convolutional Neural Network for Building Damage Evaluation from Satellite Images. 285–288. 1 indexed citations
3.
Chang, Yang-Lang, et al.. (2022). Consolidated Convolutional Neural Network for Hyperspectral Image Classification. Remote Sensing. 14(7). 1571–1571. 60 indexed citations
4.
Chang, Yang-Lang, et al.. (2022). Inter-Multilevel Super-Orthogonal Space–Time Coding Scheme for Reliable ZigBee-Based IoMT Communications. Sensors. 22(7). 2695–2695. 3 indexed citations
5.
Chang, Lena, Yi-Ting Chen, Jung-Hua Wang, & Yang-Lang Chang. (2022). Modified Yolov3 for Ship Detection with Visible and Infrared Images. Electronics. 11(5). 739–739. 21 indexed citations
6.
Chang, Lena, et al.. (2021). YOLOV3 Based Ship Detection in Visible and Infrared Images. 11 indexed citations
7.
Tan, Tan-Hsu, et al.. (2021). Accelerated-YOLOv3 for Ship Detection from SAR Images. 3030–3032. 9 indexed citations
8.
Chang, Lena, et al.. (2020). A Novel Feature for Detection of Rice Field Distribution Using Time Series SAR Data. 4866–4869. 4 indexed citations
9.
Chang, Lena, Yi-Ting Chen, Jung-Hua Wang, & Yang-Lang Chang. (2020). Rice-Field Mapping with Sentinel-1A SAR Time-Series Data. Remote Sensing. 13(1). 103–103. 29 indexed citations
10.
Chang, Lena, et al.. (2020). Recurrent Deep Learning for Rice Fields Detection from SAR Images. 1548–1551. 5 indexed citations
11.
Chang, Yang-Lang, et al.. (2020). Multilevel High-Rate Coding With Twofold Concatenation for IoTs in Wireless Mesh Networks. IEEE Access. 8. 106910–106923. 1 indexed citations
12.
Chang, Yang-Lang, et al.. (2019). Ship Detection Based on YOLOv2 for SAR Imagery. Remote Sensing. 11(7). 786–786. 256 indexed citations breakdown →
13.
14.
Chang, Yang-Lang, et al.. (2014). Incenter-based nearest feature space method for hyperspectral image classification using GPU. 931–936. 2 indexed citations
15.
Chang, Lena, et al.. (2011). Group and Region Based Parallel Compression Method Using Signal Subspace Projection and Band Clustering for Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 4(3). 565–578. 14 indexed citations
16.
Chang, Yang-Lang, et al.. (2009). Band selection for hyperspectral images based on parallel particle swarm optimization schemes. V–84. 24 indexed citations
17.
Wang, J. R., James D. Spinhirne, P. Racette, Lena Chang, & William D. Hart. (1997). The Effect of Clouds on Water Vapor Profiling from the Millimeter-Wave Radiometric Measurements. Journal of Applied Meteorology. 36(9). 1232–1244. 6 indexed citations
18.
Wang, J. R., S. H. Melfi, P. Racette, et al.. (1995). Simultaneous Measurements of Atmospheric Water Vapor with MIR, Raman Lidar, and Rawinsondes. Journal of Applied Meteorology. 34(7). 1595–1607. 23 indexed citations
19.
Chang, Lena. (1994). An Efficient Adaptive Eigenspace-based Algorithm for Direction Estimation and Tracking. 208–212. 1 indexed citations
20.
Wang, J.R. & Lena Chang. (1990). Retrieval of Water Vapor Profiles from Microwave Radiometric Measurements near 90 and 183 GHz. Journal of Applied Meteorology. 29(10). 1005–1013. 26 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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