Hong Li

5.3k total citations · 3 hit papers
200 papers, 4.0k citations indexed

About

Hong Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Hong Li has authored 200 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Vision and Pattern Recognition, 53 papers in Media Technology and 33 papers in Artificial Intelligence. Recurrent topics in Hong Li's work include Advanced Image Fusion Techniques (31 papers), Remote-Sensing Image Classification (28 papers) and Image and Signal Denoising Methods (24 papers). Hong Li is often cited by papers focused on Advanced Image Fusion Techniques (31 papers), Remote-Sensing Image Classification (28 papers) and Image and Signal Denoising Methods (24 papers). Hong Li collaborates with scholars based in China, Macao and United States. Hong Li's co-authors include Yantao Wei, C. L. Philip Chen, Yuan Yan Tang, Tian Xia, Xinge You, Donghui Pan, Luoqing Li, Liming Zhang, Hailiang Ye and Kailai Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Hong Li

183 papers receiving 3.9k citations

Hit Papers

A Local Contrast Method for Small Infrared Target Detection 2013 2026 2017 2021 2013 2016 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Li China 25 1.7k 1.3k 1.1k 992 459 200 4.0k
Xiangzhi Bai China 34 2.1k 1.2× 1.2k 0.9× 2.1k 2.0× 2.0k 2.0× 348 0.8× 197 4.8k
Xinge You China 34 676 0.4× 513 0.4× 2.6k 2.5× 707 0.7× 175 0.4× 148 4.2k
Yulan Guo China 46 2.4k 1.4× 292 0.2× 5.8k 5.4× 1.4k 1.4× 40 0.1× 168 9.6k
Zhiqin Zhu China 32 270 0.2× 417 0.3× 2.1k 2.0× 1.5k 1.5× 218 0.5× 136 4.3k
Yi Ma China 14 496 0.3× 522 0.4× 5.6k 5.3× 1.6k 1.6× 80 0.2× 41 8.3k
Yunsong Li China 49 1.1k 0.6× 666 0.5× 3.8k 3.6× 5.4k 5.4× 101 0.2× 421 8.5k
In So Kweon South Korea 44 1.9k 1.1× 480 0.4× 7.9k 7.4× 1.9k 1.9× 71 0.2× 321 9.9k
Junren Shi China 29 2.5k 1.5× 301 0.2× 1.4k 1.3× 363 0.4× 80 0.2× 228 3.7k
Alessandro Giusti Switzerland 30 660 0.4× 697 0.5× 2.1k 2.0× 299 0.3× 49 0.1× 139 5.2k
Toby P. Breckon United Kingdom 32 440 0.3× 278 0.2× 2.7k 2.5× 481 0.5× 53 0.1× 156 4.4k

Countries citing papers authored by Hong Li

Since Specialization
Citations

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

Fields of papers citing papers by Hong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Li. A scholar is included among the top collaborators of Hong 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 Hong Li. Hong 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.
Jiang, Yue, et al.. (2024). Numerical simulation of the effect of varying dispersion tooth insertion depth on the jet breakup and hydraulic performance. Biosystems Engineering. 239. 98–113. 7 indexed citations
2.
Li, Hong, et al.. (2024). Application of Deep Learning Techniques in UAV Image Recognition and Tracking. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations
3.
Zhang, Liming, et al.. (2024). A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification. IEEE Transactions on Image Processing. 33. 1080–1094. 13 indexed citations
4.
Zhang, Liming, et al.. (2024). A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 1 indexed citations
5.
Jiang, Yue, et al.. (2023). Effects of the depth of the needle‐shaped water dispersion device inserted into the jet on the jet breakup of sprinklers. Irrigation and Drainage. 72(4). 887–909. 8 indexed citations
6.
Zhang, Liming, et al.. (2023). A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 4 indexed citations
7.
Lee, Kuan‐Ting, et al.. (2022). An image-guided network for depth edge enhancement. EURASIP Journal on Image and Video Processing. 2022(1). 2 indexed citations
8.
Li, Wenxia, Chi Lin, Ting Luo, et al.. (2022). Subjective and Objective Quality Evaluation for Underwater Image Enhancement and Restoration. Symmetry. 14(3). 558–558. 7 indexed citations
9.
Dai, Lei, Liming Zhang, & Hong Li. (2022). Image Compression Using Stochastic-AFD Based Multisignal Sparse Representation. IEEE Transactions on Image Processing. 31. 5317–5331. 5 indexed citations
10.
Li, Hong, et al.. (2021). Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 27 indexed citations
11.
Ye, Hailiang, Hong Li, & C. L. Philip Chen. (2020). Adaptive Deep Cascade Broad Learning System and Its Application in Image Denoising. IEEE Transactions on Cybernetics. 51(9). 4450–4463. 73 indexed citations
12.
Jiang, Qiuping, et al.. (2020). No-Reference Image Contrast Evaluation by Generating Bidirectional Pseudoreferences. IEEE Transactions on Industrial Informatics. 17(9). 6062–6072. 17 indexed citations
13.
Li, Hong, et al.. (2020). Optimizing unbalanced text classification tasks by integrating critical data mining and restricted rewriting techniques. Concurrency and Computation Practice and Experience. 32(24). 1 indexed citations
14.
Ye, Hailiang, Hong Li, Feilong Cao, & Liming Zhang. (2019). A Hybrid Truncated Norm Regularization Method for Matrix Completion. IEEE Transactions on Image Processing. 28(10). 5171–5186. 13 indexed citations
15.
Li, Hong, et al.. (2019). Low-illumination image enhancement algorithm based on multi-scale gradient domain guided filtering. 39(10). 3046–3052. 3 indexed citations
16.
Ye, Hailiang, Hong Li, Bing Yang, Feilong Cao, & Yuanyan Tang. (2019). A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4457–4469. 28 indexed citations
17.
Hou, Feifei, et al.. (2018). FMRSS Net: Fast Matrix Representation-Based Spectral-Spatial Feature Learning Convolutional Neural Network for Hyperspectral Image Classification. Mathematical Problems in Engineering. 2018. 1–11. 5 indexed citations
18.
Li, Hong, et al.. (2017). A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy. Sensors. 18(1). 39–39. 6 indexed citations
19.
Li, Hong, et al.. (2015). Analysis on aerodynamic characteristics and noise of the high-speed train under high-speed operation. Journal of Vibroengineering. 17(3). 1452–1463. 4 indexed citations
20.
Li, Hong. (2005). Dispersion Compensation Fiber in Communication System.

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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