Maolong Xi

27 total papers · 482 total citations
17 papers, 383 citations indexed

About

Maolong Xi is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Maolong Xi has authored 17 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Maolong Xi's work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Algorithms and Applications (5 papers) and Evolutionary Algorithms and Applications (3 papers). Maolong Xi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Advanced Algorithms and Applications (5 papers) and Evolutionary Algorithms and Applications (3 papers). Maolong Xi collaborates with scholars based in China, Canada and Macao. Maolong Xi's co-authors include Jun Sun, Wenbo Xu, Xiao‐Jun Wu, Li Liu, Zhiming Qi, Guannan Zhang, Dan Lu, Dongwei GUI, Hao Gao and Haidong Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Computers and Electronics in Agriculture.

In The Last Decade

Maolong Xi

15 papers receiving 368 citations

Author Peers

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

Author						Papers	Cites
Maolong Xi	192	78	61	49	37	17	383
Jason Brownlee	150 0.8×	42 0.5×	63 1.0×	38 0.8×	53 1.4×	14	394
Daqing Wu	125 0.7×	103 1.3×	54 0.9×	17 0.3×	43 1.2×	10	397
Christian Moewes	122 0.6×	62 0.8×	24 0.4×	26 0.5×	35 0.9×	15	379
Gideon Langholz	229 1.2×	117 1.5×	45 0.7×	13 0.3×	24 0.6×	18	358
Feng Tan	169 0.9×	37 0.5×	62 1.0×	58 1.2×	20 0.5×	22	360
Kyle Robert Harrison	235 1.2×	88 1.1×	136 2.2×	18 0.4×	53 1.4×	30	439
Harpreet Singh	232 1.2×	28 0.4×	54 0.9×	23 0.5×	48 1.3×	14	390
E.C. Laskari	213 1.1×	59 0.8×	98 1.6×	20 0.4×	99 2.7×	15	407
John Galletly	106 0.6×	34 0.4×	44 0.7×	10 0.2×	25 0.7×	20	347
Chiwen Qu	226 1.2×	61 0.8×	89 1.5×	20 0.4×	91 2.5×	29	413

Countries citing papers authored by Maolong Xi

Since Specialization

Citations

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

Fields of papers citing papers by Maolong Xi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maolong Xi

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