Mengchen Liu

14 total papers · 968 total citations
7 papers, 620 citations indexed

About

Mengchen Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mengchen Liu has authored 7 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Mengchen Liu's work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Data Visualization and Analytics (2 papers). Mengchen Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Data Visualization and Analytics (2 papers). Mengchen Liu collaborates with scholars based in China, Germany and United States. Mengchen Liu's co-authors include Shi‐Xia Liu, Jun Zhu, Xiting Wang, Yingcai Wu, Yang Liu, Xiyang Dai, Yinpeng Chen, Yu–Gang Jiang, Rui Wang and Yuan Lü and has published in prestigious journals such as Brain Research, IEEE Transactions on Visualization and Computer Graphics and Visual Informatics.

In The Last Decade

Mengchen Liu

7 papers receiving 591 citations

Author Peers

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

Author						Papers	Cites
Mengchen Liu	374	292	57	43	35	7	620
Zhen Li	344 0.9×	335 1.1×	52 0.9×	17 0.4×	28 0.8×	15	666
Gregory J. Wolff	308 0.8×	265 0.9×	105 1.8×	63 1.5×	35 1.0×	13	663
Honghui Mei	383 1.0×	162 0.6×	79 1.4×	60 1.4×	36 1.0×	14	602
Shiry Ginosar	454 1.2×	118 0.4×	55 1.0×	26 0.6×	60 1.7×	14	652
Chong Wang	414 1.1×	325 1.1×	38 0.7×	27 0.6×	102 2.9×	22	674
Chandan K. Reddy	182 0.5×	362 1.2×	39 0.7×	23 0.5×	77 2.2×	17	620
Ning Xie	102 0.3×	266 0.9×	37 0.6×	40 0.9×	44 1.3×	20	580
James Wexler	210 0.6×	403 1.4×	28 0.5×	22 0.5×	60 1.7×	12	629
Giovanni Seni	211 0.6×	258 0.9×	41 0.7×	12 0.3×	58 1.7×	16	680
Shan Carter	192 0.5×	399 1.4×	29 0.5×	19 0.4×	19 0.5×	10	649

Countries citing papers authored by Mengchen Liu

Since Specialization

Citations

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

Fields of papers citing papers by Mengchen Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengchen Liu

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