Chunhu Li

527 total citations · 1 hit paper
8 papers, 426 citations indexed

About

Chunhu Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Chunhu Li has authored 8 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Chunhu Li's work include Chaos-based Image/Signal Encryption (5 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Cellular Automata and Applications (2 papers). Chunhu Li is often cited by papers focused on Chaos-based Image/Signal Encryption (5 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Cellular Automata and Applications (2 papers). Chunhu Li collaborates with scholars based in China. Chunhu Li's co-authors include Chunbao Li, Guangchun Luo, Ke Qin, Qifeng Fu, Chunying Zhang, Bo Yang and Qing Mi and has published in prestigious journals such as Nonlinear Dynamics, Multimedia Tools and Applications and Journal of Visual Communication and Image Representation.

In The Last Decade

Chunhu Li

8 papers receiving 406 citations

Hit Papers

align trajectories

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.

An image encryption scheme based on chaotic tent map

2016 374 citations Chunhu Li, Guangchun Luo et al. Nonlinear Dynamics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chunhu Li China	4	370	128	99	71	69	8	426
Chunbao Li China	5	394 1.1×	130 1.0×	101 1.0×	72 1.0×	69 1.0×	13	448
Pengbo Liu China	10	442 1.2×	86 0.7×	79 0.8×	79 1.1×	87 1.3×	18	495
Haiyang Wu China	9	470 1.3×	116 0.9×	52 0.5×	22 0.3×	45 0.7×	24	583
Mohamed Zakariya Talhaoui China	6	413 1.1×	112 0.9×	70 0.7×	87 1.2×	109 1.6×	11	461
Kwok-Tung Lo Hong Kong	9	349 0.9×	65 0.5×	41 0.4×	52 0.7×	25 0.4×	28	396
Hossam Diab Egypt	9	314 0.8×	117 0.9×	108 1.1×	59 0.8×	37 0.5×	20	431
Janier Arias-García Brazil	9	197 0.5×	58 0.5×	99 1.0×	43 0.6×	73 1.1×	29	316
Eman Azab Egypt	7	186 0.5×	60 0.5×	61 0.6×	21 0.3×	37 0.5×	23	287
Junjie Chen China	9	349 0.9×	92 0.7×	50 0.5×	73 1.0×	31 0.4×	20	443

Countries citing papers authored by Chunhu Li

Since Specialization

Citations

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

Fields of papers citing papers by Chunhu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunhu Li

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

All Works

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8 of 8 papers shown

1.

Li, Chunhu, et al.. (2021). Siamese CNN-based rank learning for quality assessment of inpainted images. Journal of Visual Communication and Image Representation. 78. 103176–103176. 1 indexed citations

2.

Li, Chunhu, Chunying Zhang, & Qifeng Fu. (2020). Research on CNN + LSTM user intention classification based on multi‐granularity features of texts. The Journal of Engineering. 2020(13). 486–490. 2 indexed citations

3.

Li, Chunhu, Guangchun Luo, & Chunbao Li. (2019). An Image Encryption Scheme Based on The Three-dimensional Chaotic Logistic Map.. Int. J. Netw. Secur.. 21. 22–29. 15 indexed citations

4.

Li, Chunhu, et al.. (2017). A Novel Image Encryption Algorithm Based on Bernoulli Maps. DEStech Transactions on Computer Science and Engineering. 2 indexed citations

5.

Li, Chunbao, Bo Yang, & Chunhu Li. (2017). Deep Learning Based Visual Tracking: A Review. DEStech Transactions on Computer Science and Engineering. 3 indexed citations

6.

Li, Chunhu, Guangchun Luo, Ke Qin, & Chunbao Li. (2017). Chaotic Image Encryption Schemes: A Review. 4 indexed citations

7.

Li, Chunhu, Guangchun Luo, & Chunbao Li. (2017). A parallel image encryption algorithm based on chaotic Duffing oscillators. Multimedia Tools and Applications. 77(15). 19193–19208. 25 indexed citations

8.

Li, Chunhu, Guangchun Luo, Ke Qin, & Chunbao Li. (2016). An image encryption scheme based on chaotic tent map. Nonlinear Dynamics. 87(1). 127–133. 374 indexed citations breakdown →

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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