Heng-Chao Li

983 total citations
21 papers, 751 citations indexed

About

Heng-Chao Li is a scholar working on Media Technology, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Heng-Chao Li has authored 21 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 6 papers in Atmospheric Science and 5 papers in Computational Mechanics. Recurrent topics in Heng-Chao Li's work include Remote-Sensing Image Classification (11 papers), Sparse and Compressive Sensing Techniques (5 papers) and Remote Sensing and Land Use (5 papers). Heng-Chao Li is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Sparse and Compressive Sensing Techniques (5 papers) and Remote Sensing and Land Use (5 papers). Heng-Chao Li collaborates with scholars based in China, United States and Spain. Heng-Chao Li's co-authors include Qian Du, Feng Gao, Junyu Dong, Yirong Wu, Hong Wen, Pingzhi Fan, Antonio Plaza, Chengzhi Deng, Shaoquan Zhang and Jun Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Information Fusion and Marine and Petroleum Geology.

In The Last Decade

Heng-Chao Li

19 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heng-Chao Li China 12 502 250 192 192 99 21 751
Dongdong Guan China 16 469 0.9× 198 0.8× 241 1.3× 158 0.8× 104 1.1× 40 712
Degang Wang China 8 430 0.9× 112 0.4× 231 1.2× 102 0.5× 117 1.2× 18 700
Xiaorun Li China 16 517 1.0× 278 1.1× 152 0.8× 240 1.3× 102 1.0× 72 838
Kang Sun China 14 562 1.1× 384 1.5× 161 0.8× 86 0.4× 74 0.7× 31 755
Xiaorun Li China 14 321 0.6× 132 0.5× 214 1.1× 206 1.1× 81 0.8× 66 634
Shaoyu Wang China 8 485 1.0× 227 0.9× 143 0.7× 51 0.3× 134 1.4× 15 639
Nicola Acito Italy 15 665 1.3× 292 1.2× 242 1.3× 235 1.2× 148 1.5× 78 992
Yaoguo Zheng China 9 427 0.9× 230 0.9× 240 1.3× 66 0.3× 95 1.0× 15 543
Yuanchao Su China 13 748 1.5× 374 1.5× 201 1.0× 69 0.4× 126 1.3× 38 939

Countries citing papers authored by Heng-Chao Li

Since Specialization
Citations

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

Fields of papers citing papers by Heng-Chao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heng-Chao Li. 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 Heng-Chao Li. The network helps show where Heng-Chao Li may publish in the future.

Co-authorship network of co-authors of Heng-Chao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Heng-Chao Li. A scholar is included among the top collaborators of Heng-Chao Li 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 Heng-Chao Li. Heng-Chao Li 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.
Yang, Jing‐Hua, Yi Zhou, Lefei Zhang, & Heng-Chao Li. (2025). Mixed-noise robust tensor multi-view clustering via adaptive dictionary learning. Information Fusion. 123. 103322–103322.
2.
Deng, Yang‐Jun, et al.. (2025). Tensor Decomposition-Based Relaxed Linear Regression for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 6 indexed citations
3.
Li, Heng-Chao, et al.. (2024). Toward Distortion-Aware Change Detection in Realistic Scenarios. 10319–10322. 4 indexed citations
4.
Li, Heng-Chao, et al.. (2024). Unsupervised Classification for Multilook Polarimetric SAR Images via Double Dirichlet Process Mixture Model. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 2 indexed citations
5.
Gao, Feng, et al.. (2023). Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 83 indexed citations
6.
Gao, Feng, et al.. (2022). Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 24 indexed citations
7.
Wang, Junjie, Feng Gao, Junyu Dong, Qian Du, & Heng-Chao Li. (2022). Change Detection From Synthetic Aperture Radar Images via Dual Path Denoising Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 2667–2680. 20 indexed citations
8.
Sioutis, Michael, et al.. (2022). Approximating Region Boundaries Based on Qualitative and Quantitative Information. IEEE Intelligent Systems. 37(6). 38–47.
9.
Gao, Yunhao, Feng Gao, Junyu Dong, Qian Du, & Heng-Chao Li. (2021). Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 10748–10760. 24 indexed citations
10.
Gao, Yunhao, Feng Gao, Junyu Dong, & Heng-Chao Li. (2021). SAR Image Change Detection Based on Multiscale Capsule Network. IEEE Geoscience and Remote Sensing Letters. 18(3). 484–488. 61 indexed citations
11.
Chen, Jie, Yingying Song, & Heng-Chao Li. (2019). Processing and Analysis of Hyperspectral Data. IntechOpen eBooks. 8 indexed citations
12.
13.
Zhang, Shaoquan, Jun Li, Heng-Chao Li, Chengzhi Deng, & Antonio Plaza. (2018). Spectral–Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 56(6). 3265–3276. 168 indexed citations
14.
Liu, Chi, Wenzhi Liao, Heng-Chao Li, Kun Fu, & Wilfried Philips. (2018). Unsupervised Classification of Multilook Polarimetric SAR Data Using Spatially Variant Wishart Mixture Model with Double Constraints. IEEE Transactions on Geoscience and Remote Sensing. 1–14. 20 indexed citations
15.
Deng, Yang‐Jun, Heng-Chao Li, Lei Pan, et al.. (2018). Modified Tensor Locality Preserving Projection for Dimensionality Reduction of Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters. 15(2). 277–281. 63 indexed citations
16.
Li, Heng-Chao, et al.. (2018). Experimental investigation of pore development of the Chang 7 member shale in the Ordos basin under semi-closed high-pressure pyrolysis. Marine and Petroleum Geology. 99. 17–26. 23 indexed citations
17.
Zhang, Shaoquan, Jun Li, Javier Plaza, Heng-Chao Li, & Antonio Plaza. (2017). Spatial weighted sparse regression for hyperspectral image unmixing. 4 indexed citations
18.
Li, Heng-Chao, Nathan Longbotham, & William J. Emery. (2014). Unsupervised change detection of remote sensing images based on semi-nonnegative matrix factorization. 1289–1292. 7 indexed citations
19.
Wang, Rui & Heng-Chao Li. (2014). Nonlocal similarity regularization for sparse hyperspectral unmixing. 2926–2929. 5 indexed citations
20.
Li, Heng-Chao, Hong Wen, Yirong Wu, & Pingzhi Fan. (2011). On the Empirical-Statistical Modeling of SAR Images With Generalized Gamma Distribution. IEEE Journal of Selected Topics in Signal Processing. 5(3). 386–397. 145 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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