Lili Meng

139 total papers · 1.0k total citations
66 papers, 657 citations indexed

About

Lili Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lili Meng has authored 66 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Lili Meng's work include Advanced Vision and Imaging (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Lili Meng is often cited by papers focused on Advanced Vision and Imaging (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Lili Meng collaborates with scholars based in China, Canada and Malaysia. Lili Meng's co-authors include Huaxiang Zhang, Clarence W. de Silva, Frederick Tung, Yanyan Tan, Wenbo Wan, James J. Little, Jiangfeng Song, Chunquan Liu, Jiande Sun and Wei Zheng and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Lili Meng

62 papers receiving 636 citations

Author Peers

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

Author						Papers	Cites
Lili Meng	313	148	84	80	69	66	657
Jianxin Guo	211 0.7×	183 1.2×	57 0.7×	115 1.4×	152 2.2×	81	764
Qian Wu	260 0.8×	58 0.4×	111 1.3×	89 1.1×	32 0.5×	44	689
Guang Jiang	327 1.0×	191 1.3×	90 1.1×	27 0.3×	99 1.4×	54	663
Yonghua Xiong	214 0.7×	178 1.2×	82 1.0×	98 1.2×	135 2.0×	69	727
Azizi Abdullah	280 0.9×	54 0.4×	196 2.3×	55 0.7×	31 0.4×	66	713
Minh Nguyen	312 1.0×	51 0.3×	61 0.7×	101 1.3×	53 0.8×	80	664
Miao Ma	304 1.0×	48 0.3×	178 2.1×	43 0.5×	39 0.6×	94	657
Emili Hernández	227 0.7×	293 2.0×	76 0.9×	96 1.2×	108 1.6×	34	668
Marco A. Moreno-Armendáriz	81 0.3×	70 0.5×	154 1.8×	47 0.6×	30 0.4×	55	664
Gang Wang	167 0.5×	56 0.4×	258 3.1×	28 0.3×	47 0.7×	44	729

Countries citing papers authored by Lili Meng

Since Specialization

Citations

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

Fields of papers citing papers by Lili Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Lili Meng. A scholar is included among the top collaborators of Lili Meng 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 Lili Meng. Lili Meng 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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