Kedian Mu

57 total papers · 440 total citations
25 papers, 204 citations indexed

About

Kedian Mu is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Kedian Mu has authored 25 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 15 papers in Information Systems and 6 papers in Computational Theory and Mathematics. Recurrent topics in Kedian Mu's work include Logic, Reasoning, and Knowledge (11 papers), Software Engineering Research (10 papers) and Advanced Software Engineering Methodologies (9 papers). Kedian Mu is often cited by papers focused on Logic, Reasoning, and Knowledge (11 papers), Software Engineering Research (10 papers) and Advanced Software Engineering Methodologies (9 papers). Kedian Mu collaborates with scholars based in China, United Kingdom and Australia. Kedian Mu's co-authors include Zhi Jin, Weiru Liu, David Bell, Lian Wen, Kewen Wang, Didar Zowghi, Ruqian Lu, Jun Hong, Yan Peng and Paul D. Miller and has published in prestigious journals such as Artificial Intelligence, International Journal of Approximate Reasoning and Journal of Artificial Intelligence Research.

In The Last Decade

Kedian Mu

24 papers receiving 193 citations

Author Peers

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

Author						Papers	Cites
Kedian Mu	184	59	55	26	13	25	204
Muhammad Mahbubur Rahman	138 0.8×	50 0.8×	84 1.5×	22 0.8×	5 0.4×	20	231
Teresa Alsinet	244 1.3×	27 0.5×	45 0.8×	25 1.0×	10 0.8×	27	278
P. Torasso	101 0.5×	28 0.5×	19 0.3×	23 0.9×	13 1.0×	30	139
Renata Wassermann	271 1.5×	43 0.7×	64 1.2×	24 0.9×	6 0.5×	42	291
Camilla Schwind	219 1.2×	20 0.3×	70 1.3×	28 1.1×	4 0.3×	32	243
Tomáš Petříček	107 0.6×	49 0.8×	39 0.7×	36 1.4×	7 0.5×	29	148
Jesús Giráldez-Cru	66 0.4×	19 0.3×	42 0.8×	39 1.5×	13 1.0×	20	140
Harish Kumar Shakya	79 0.4×	71 1.2×	36 0.7×	28 1.1×	5 0.4×	29	147
Ashiqur R. KhudaBukhsh	122 0.7×	17 0.3×	50 0.9×	43 1.7×	15 1.2×	32	185
J-J.Ch. Meyer	172 0.9×	24 0.4×	33 0.6×	23 0.9×	14 1.1×	33	192

Countries citing papers authored by Kedian Mu

Since Specialization

Citations

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

Fields of papers citing papers by Kedian Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kedian Mu

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