Hao Chang

444 total citations · 1 hit paper
16 papers, 295 citations indexed

About

Hao Chang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Hao Chang has authored 16 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Hao Chang's work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers) and Indoor and Outdoor Localization Technologies (4 papers). Hao Chang is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers) and Indoor and Outdoor Localization Technologies (4 papers). Hao Chang collaborates with scholars based in China, United States and South Korea. Hao Chang's co-authors include Peijin Wang, Xian Sun, Xiaonan Lü, Jiwen Lu, Zhujun Yang, Xuee Rong, Kun Fu, Qibin He, Wanxuan Lu and Junxi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Hao Chang

13 papers receiving 284 citations

Hit Papers

RingMo: A Remote Sensing Foundation Model With Masked Ima... 2022 2026 2023 2024 2022 50 100 150

Peers

Hao Chang
Burak Uzkent United States
Kun Fu China
Yanhe Guo China
Kun Ding China
Hao Chang
Citations per year, relative to Hao Chang Hao Chang (= 1×) peers Bowen Chen

Countries citing papers authored by Hao Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Chang. A scholar is included among the top collaborators of Hao 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 Hao Chang. Hao Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Zhang, Z.F., Shimin Yu, Fengtong Ji, et al.. (2025). Fully integrated wearable control system for micro/nanorobot navigation. International Journal of Extreme Manufacturing. 7(3). 35505–35505. 8 indexed citations
2.
Chang, Hao, Peijin Wang, Wenhui Diao, Guangluan Xu, & Xian Sun. (2024). Remote Sensing Change Detection With Bitemporal and Differential Feature Interactive Perception. IEEE Transactions on Image Processing. 33. 4543–4555. 9 indexed citations
3.
Wang, Peijin, Fanglong Yao, Yingchao Feng, et al.. (2024). RingMoGPT: A Unified Remote Sensing Foundation Model for Vision, Language, and Grounded Tasks. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–20. 2 indexed citations
4.
Chang, Hao, Peijin Wang, Wenhui Diao, Guangluan Xu, & Xian Sun. (2024). A Triple-Branch Hybrid Attention Network With Bitemporal Feature Joint Refinement for Remote-Sensing Image Semantic Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 14 indexed citations
6.
Sun, Xian, Peijin Wang, Wanxuan Lu, et al.. (2022). RingMo: A Remote Sensing Foundation Model With Masked Image Modeling. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–22. 180 indexed citations breakdown →
7.
Choi, Hojong, et al.. (2022). Study of timing performance parameters for a SiPM-based digital positron annihilation lifetime spectrometer. Journal of Instrumentation. 17(12). C12007–C12007.
8.
Zhao, Ming, Jiahui Ma, Hao Chang, & Shi Chen. (2021). General seismic wave and phase detection software driven by deep learning. SHILAP Revista de lepidopterología. 1(3). 100029–100029. 6 indexed citations
10.
Chang, Hao, et al.. (2016). An improved FastSLAM using resmapling based on particle swarm optimization. 229–234. 2 indexed citations
11.
Yang, Guilin, et al.. (2016). A novel localization method based on sharp corners for indoor mobile robots. 1892–1897. 3 indexed citations
12.
Zhang, Huijuan, et al.. (2016). A new method for robot path planning based artificial potential field. 1294–1299. 33 indexed citations
13.
Chang, Hao, C.S.G. Lee, Lu Yan, & Yu Hu. (2006). Simultaneous localization and mapping with environmental structure prediction. 4069–4074. 7 indexed citations
14.
Chang, Hao, C.S.G. Lee, Yung-Hsiang Lu, & Yu Hu. (2005). A computational efficient SLAM algorithm based on logarithmic-map partitioning. 2. 1041–1046. 8 indexed citations
15.
Chang, Hao, En‐Hou Han, Jianqiang Wang, & Wei Ke. (2005). Analysis of modal acoustic emission signals of LY12CZ aluminum alloy at anodic and cathodic polarization. NDT & E International. 39(1). 8–12. 14 indexed citations
16.
Chang, Hao, et al.. (2004). Energy-time-efficient adaptive dispatching algorithms for ant-like robot systems. 2. 3294–3299 Vol.4. 9 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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