Yang-Lang Chang

2.0k total citations · 1 hit paper
96 papers, 1.5k citations indexed

About

Yang-Lang Chang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Yang-Lang Chang has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Media Technology, 29 papers in Computer Vision and Pattern Recognition and 27 papers in Atmospheric Science. Recurrent topics in Yang-Lang Chang's work include Remote-Sensing Image Classification (37 papers), Remote Sensing and Land Use (24 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers). Yang-Lang Chang is often cited by papers focused on Remote-Sensing Image Classification (37 papers), Remote Sensing and Land Use (24 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers). Yang-Lang Chang collaborates with scholars based in Taiwan, United States and Malaysia. Yang-Lang Chang's co-authors include Lena Chang, Antonio Plaza, Qian Du, Roger L. King, Yi Chun Wang, Bormin Huang, Tan-Hsu Tan, R. Stanley Williams, T. I. Kamins and Ying-Nong Chen and has published in prestigious journals such as Angewandte Chemie International Edition, Applied Physics Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yang-Lang Chang

90 papers receiving 1.5k 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
Yang-Lang Chang Taiwan 21 430 429 289 280 250 96 1.5k
Jihao Yin China 18 690 1.6× 456 1.1× 203 0.7× 267 1.0× 307 1.2× 89 1.6k
Hongying Liu China 24 773 1.8× 628 1.5× 432 1.5× 315 1.1× 118 0.5× 157 1.9k
Fan Wu China 25 374 0.9× 318 0.7× 656 2.3× 342 1.2× 146 0.6× 183 1.8k
Weidong Hu China 18 326 0.8× 319 0.7× 654 2.3× 164 0.6× 304 1.2× 121 1.4k
Huan Liu China 23 367 0.9× 424 1.0× 169 0.6× 177 0.6× 365 1.5× 184 2.2k
Mingwei Wang China 23 308 0.7× 325 0.8× 106 0.4× 138 0.5× 212 0.8× 154 2.0k
Christian Debes Germany 15 515 1.2× 332 0.8× 320 1.1× 221 0.8× 171 0.7× 40 1.5k
Gholamreza Akbarizadeh Iran 30 563 1.3× 855 2.0× 519 1.8× 144 0.5× 531 2.1× 76 2.6k
Zhiqiang Gong China 18 723 1.7× 403 0.9× 184 0.6× 436 1.6× 80 0.3× 55 1.5k
Miguel Vélez-Reyes Puerto Rico 22 613 1.4× 242 0.6× 90 0.3× 318 1.1× 510 2.0× 178 1.8k

Countries citing papers authored by Yang-Lang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yang-Lang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang-Lang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yang-Lang Chang. A scholar is included among the top collaborators of Yang-Lang 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 Yang-Lang Chang. Yang-Lang 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.
Wang, Rui, Yang-Lang Chang, Qingyuan He, et al.. (2025). Ultrathin PtSe 2 Nanowires in Single‐Walled Carbon Nanotubes for Hydrogen Evolution Reaction. Angewandte Chemie International Edition. 64(35). e202510463–e202510463. 2 indexed citations
2.
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
3.
Zhao, Peng, Junlin Chen, Jiahao Li, et al.. (2024). Design and Testing of an autonomous laser weeding robot for strawberry fields based on DIN-LW-YOLO. Computers and Electronics in Agriculture. 229. 109808–109808. 12 indexed citations
4.
Chen, Ying-Nong, et al.. (2023). Special Issue Review: Artificial Intelligence and Machine Learning Applications in Remote Sensing. Remote Sensing. 15(3). 569–569. 22 indexed citations
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Chang, Yang-Lang, et al.. (2023). Performance Comparison of Machine Learning Approaches on Hepatitis C Prediction Employing Data Mining Techniques. Bioengineering. 10(4). 481–481. 23 indexed citations
7.
Li, Jianda, et al.. (2023). 3D Dense U-Net-ASPP for MRI Imaging Segmentation of Breast Tumors. 847–848. 2 indexed citations
8.
Chang, Yang-Lang, et al.. (2022). Consolidated Convolutional Neural Network for Hyperspectral Image Classification. Remote Sensing. 14(7). 1571–1571. 60 indexed citations
9.
Chuah, Joon Huang, et al.. (2021). Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification. Sensors. 21(14). 4837–4837. 17 indexed citations
10.
Chuah, Joon Huang, et al.. (2021). YOLO-RTUAV: Towards Real-Time Vehicle Detection through Aerial Images with Low-Cost Edge Devices. Remote Sensing. 13(21). 4196–4196. 22 indexed citations
11.
Chang, Wen‐Yen, et al.. (2018). GPU Acceleration of Adaptive Local Kriging Applied to Retrieving Slant-Range Surface Motion Maps. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(11). 4317–4325. 1 indexed citations
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14.
Li, L., Yang-Lang Chang, Hui Xia, et al.. (2014). NH4F surface modification of Li-rich layered cathode materials. Solid State Ionics. 264. 36–44. 37 indexed citations
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Chang, Yang-Lang, et al.. (2009). Band selection for hyperspectral images based on parallel particle swarm optimization schemes. V–84. 24 indexed citations
17.
Plaza, Antonio, Qian Du, & Yang-Lang Chang. (2009). High performance computing for hyperspectral image analysis: Perspective and state-of-the-art. 66. V–72. 5 indexed citations
18.
Ren, Hsuan & Yang-Lang Chang. (2008). A Parallel Approach for Initialization of High-Order Statistics Anomaly Detection in Hyperspectral Imagery. 4725. II–1017. 5 indexed citations
19.
Ren, Hui & Yang-Lang Chang. (2006). Multispectral Subpixel Detection using Least Square Unmixing. 38. 2754–2756. 1 indexed citations
20.
Kamins, T. I., et al.. (2000). Chemical vapor deposition of Si nanowires nucleated by TiSi2 islands on Si. Applied Physics Letters. 76(5). 562–564. 130 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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