Hongli Lv

67 total papers · 830 total citations
50 papers, 618 citations indexed

About

Hongli Lv is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hongli Lv has authored 50 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Hongli Lv's work include Image and Signal Denoising Methods (10 papers), Fuzzy Logic and Control Systems (8 papers) and Image Processing Techniques and Applications (7 papers). Hongli Lv is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Fuzzy Logic and Control Systems (8 papers) and Image Processing Techniques and Applications (7 papers). Hongli Lv collaborates with scholars based in China, United States and Singapore. Hongli Lv's co-authors include Daizhan Cheng, Mengyao Guo, Shujun Fu, Jun‐e Feng, Caiming Zhang, Tianchao Xu, Jun‐e Feng, Renfang Wang, Ran Xu and Lei Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Hongli Lv

45 papers receiving 589 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hongli Lv	183	122	105	92	75	50	618
Deguang Li	127 0.7×	147 1.2×	80 0.8×	51 0.6×	67 0.9×	59	651
Yuhang He	147 0.8×	22 0.2×	20 0.2×	76 0.8×	70 0.9×	45	624
Jin Kim	76 0.4×	46 0.4×	15 0.1×	141 1.5×	49 0.7×	58	682
Tingting Wu	267 1.5×	34 0.3×	22 0.2×	64 0.7×	10 0.1×	56	632
Fan Lü	203 1.1×	37 0.3×	8 0.1×	115 1.3×	49 0.7×	56	596
Tiantian Xu	150 0.8×	46 0.4×	42 0.4×	162 1.8×	21 0.3×	37	624
Xiangli Li	58 0.3×	25 0.2×	27 0.3×	30 0.3×	61 0.8×	61	561
Haoran Li	189 1.0×	55 0.5×	8 0.1×	124 1.3×	74 1.0×	51	536
Jingxin Zhang	111 0.6×	35 0.3×	15 0.1×	76 0.8×	54 0.7×	83	677
Hui Xu	232 1.3×	36 0.3×	8 0.1×	111 1.2×	13 0.2×	68	537

Countries citing papers authored by Hongli Lv

Since Specialization

Citations

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

Fields of papers citing papers by Hongli Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongli Lv

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

All Works

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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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