Mulan Liu

45 total papers · 428 total citations
30 papers, 256 citations indexed

About

Mulan Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Mulan Liu has authored 30 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Mulan Liu's work include Coding theory and cryptography (13 papers), graph theory and CDMA systems (12 papers) and Cryptography and Data Security (10 papers). Mulan Liu is often cited by papers focused on Coding theory and cryptography (13 papers), graph theory and CDMA systems (12 papers) and Cryptography and Data Security (10 papers). Mulan Liu collaborates with scholars based in China, Taiwan and Singapore. Mulan Liu's co-authors include Zhifang Zhang, Anyu Wang, Guo‐Qing Li, Peizhong Lu, Haiyan Xu, Guangnan Xing, Fuan Li, San Ling, Yeow Meng Chee and Huaxiong Wang and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Insect Physiology and Theoretical Computer Science.

In The Last Decade

Mulan Liu

29 papers receiving 247 citations

Author Peers

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

Author						Papers	Cites
Mulan Liu	136	83	76	42	34	30	256
Justin R Smith	54 0.4×	56 0.7×	79 1.0×	16 0.4×	20 0.6×	18	302
Douglas S. Stones	81 0.6×	69 0.8×	54 0.7×	11 0.3×	21 0.6×	18	283
Meng Jia	137 1.0×	90 1.1×	26 0.3×	17 0.4×	30 0.9×	33	272
Ruiming Zhang	13 0.1×	32 0.4×	15 0.2×	25 0.6×	87 2.6×	46	331
Janne H. Korhonen	64 0.5×	76 0.9×	57 0.8×	7 0.2×	24 0.7×	20	322
Bruce Litow	79 0.6×	125 1.5×	88 1.2×	4 0.1×	2 0.1×	36	265
Rogers Mathew	26 0.2×	93 1.1×	36 0.5×	1 0.0×	45 1.3×	40	262
Michael Conner	24 0.2×	38 0.5×	131 1.7×	13 0.3×	9 0.3×	31	306
Johan Wästlund	57 0.4×	74 0.9×	54 0.7×		16 0.5×	31	274
Heeralal Janwa	140 1.0×	39 0.5×	44 0.6×		7 0.2×	23	185

Countries citing papers authored by Mulan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Mulan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mulan Liu

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