Meng Jia

96 total papers · 825 total citations
33 papers, 272 citations indexed

About

Meng Jia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Meng Jia has authored 33 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Theory and Mathematics. Recurrent topics in Meng Jia's work include Ammonia Synthesis and Nitrogen Reduction (6 papers), Logic, programming, and type systems (6 papers) and Advanced Photocatalysis Techniques (5 papers). Meng Jia is often cited by papers focused on Ammonia Synthesis and Nitrogen Reduction (6 papers), Logic, programming, and type systems (6 papers) and Advanced Photocatalysis Techniques (5 papers). Meng Jia collaborates with scholars based in China, United Kingdom and Australia. Meng Jia's co-authors include Lawrence C. Paulson, Xinghe Wang, Yanfang Zhang, Mingchun Liu, Wei Song, Muhammad Ishfaq, Pengfei Ma, Wei Zhang, Xiao Liu and Yangyu Fan and has published in prestigious journals such as Ecotoxicology and Environmental Safety, Materials Chemistry and Physics and Pest Management Science.

In The Last Decade

Meng Jia

28 papers receiving 242 citations

Author Peers

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

Author						Papers	Cites
Meng Jia	137	90	30	28	26	33	272
Jan Holub	164 1.2×	59 0.7×	11 0.4×	128 4.6×	17 0.7×	33	256
Yuzhong Zhao	84 0.6×	11 0.1×	21 0.7×	54 1.9×	45 1.7×	29	321
Jianghua Zhong	80 0.6×	45 0.5×	9 0.3×	135 4.8×	88 3.4×	30	314
Peng Chen	36 0.3×	25 0.3×	6 0.2×	25 0.9×	41 1.6×	39	208
Jintao Meng	46 0.3×	65 0.7×	31 1.0×	121 4.3×	47 1.8×	36	274
Mulan Liu	136 1.0×	83 0.9×	34 1.1×	25 0.9×	76 2.9×	30	256
Douglas S. Stones	81 0.6×	69 0.8×	21 0.7×	39 1.4×	54 2.1×	18	283
André M. S. Barreto	115 0.8×	128 1.4×	6 0.2×	82 2.9×	20 0.8×	18	311
Karthikeyan Subbiah	59 0.4×	54 0.6×	23 0.8×	89 3.2×	29 1.1×	35	316
Kensuke Baba	70 0.5×	17 0.2×	5 0.2×	21 0.8×	46 1.8×	53	235

Countries citing papers authored by Meng Jia

Since Specialization

Citations

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

Fields of papers citing papers by Meng Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Jia

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