Meng He

124 total papers · 1.0k total citations
38 papers, 254 citations indexed

About

Meng He is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Meng He has authored 38 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Signal Processing and 9 papers in Computational Theory and Mathematics. Recurrent topics in Meng He's work include Algorithms and Data Compression (23 papers), Data Management and Algorithms (14 papers) and Computational Geometry and Mesh Generation (8 papers). Meng He is often cited by papers focused on Algorithms and Data Compression (23 papers), Data Management and Algorithms (14 papers) and Computational Geometry and Mesh Generation (8 papers). Meng He collaborates with scholars based in Canada, Chile and China. Meng He's co-authors include J. Ian Munro, Srinivasa Rao Satti, Jérémy Barbay, Shusheng Zheng, Chengrong Li, Zhiguo Tang, Leo Ferres, Gonzalo Navarro, Travis Gagie and Anil Maheshwari and has published in prestigious journals such as IEEE Transactions on Dielectrics and Electrical Insulation, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Meng He

33 papers receiving 251 citations

Author Peers

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

Author						Papers	Cites
Meng He	126	87	78	60	50	38	254
Takashi Horiyama	34 0.3×	41 0.5×	8 0.1×	49 0.8×	17 0.3×	43	167
Dmitry Duplyakin	62 0.5×	53 0.6×	30 0.4×	28 0.5×	12 0.2×	29	328
Jinhua Zhu	143 1.1×	27 0.3×	69 0.9×	94 1.6×	12 0.2×	33	307
Jean‐Frédéric Myoupo	90 0.7×	51 0.6×	5 0.1×	46 0.8×	12 0.2×	47	267
Michal Krátký	74 0.6×	47 0.5×	21 0.3×	9 0.1×	58 1.2×	36	177
Roselyne Tchoua	52 0.4×	9 0.1×	43 0.6×	18 0.3×	10 0.2×	31	268
Fernando L. Pelayo	102 0.8×	23 0.3×	18 0.2×	113 1.9×	9 0.2×	44	293
Zhuolun He	84 0.7×	120 1.4×	10 0.1×	20 0.3×	14 0.3×	37	301
Hasitha Muthumala Waidyasooriya	134 1.1×	75 0.9×	6 0.1×	28 0.5×	13 0.3×	41	299
Jiří Dvorský	65 0.5×	50 0.6×	26 0.3×	10 0.2×	23 0.5×	46	186

Countries citing papers authored by Meng He

Since Specialization

Citations

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

Fields of papers citing papers by Meng He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng He

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