Pham Van Cuong

14 total papers · 477 total citations
11 papers, 387 citations indexed

About

Pham Van Cuong is a scholar working on Control and Systems Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Pham Van Cuong has authored 11 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Materials Chemistry and 2 papers in Artificial Intelligence. Recurrent topics in Pham Van Cuong's work include Iterative Learning Control Systems (5 papers), 2D Materials and Applications (4 papers) and Adaptive Control of Nonlinear Systems (4 papers). Pham Van Cuong is often cited by papers focused on Iterative Learning Control Systems (5 papers), 2D Materials and Applications (4 papers) and Adaptive Control of Nonlinear Systems (4 papers). Pham Van Cuong collaborates with scholars based in Vietnam, China and Russia. Pham Van Cuong's co-authors include Nan Wang, Cuong Q. Nguyen, Chương V. Nguyen, Son‐Tung Nguyen, Nguyen Van Hieu, Khang D. Pham, A.A. Lavrentyev, Hien D. Tong and Tuan V. Vu and has published in prestigious journals such as Physical Chemistry Chemical Physics, RSC Advances and Dalton Transactions.

In The Last Decade

Pham Van Cuong

10 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Pham Van Cuong	243	85	65	53	51	11	387
Amin Zare	156 0.6×	59 0.7×	96 1.5×	45 0.8×	41 0.8×	18	426
Nazila Nikdel	294 1.2×	65 0.8×	33 0.5×	41 0.8×	38 0.7×	21	388
Marco Antonio Islas	102 0.4×	150 1.8×	105 1.6×	31 0.6×	77 1.5×	11	387
Yao Wen	262 1.1×	67 0.8×	36 0.6×	37 0.7×	39 0.8×	22	381
Jier Qiu	197 0.8×	131 1.5×	21 0.3×	13 0.2×	95 1.9×	12	433
Aydoğan Savran	239 1.0×	61 0.7×	17 0.3×	17 0.3×	96 1.9×	18	371
Xiaoxu Cao	286 1.2×	68 0.8×	38 0.6×	50 0.9×	7 0.1×	13	380
Venkatakrishnan Venkataramanan	335 1.4×	142 1.7×	24 0.4×	25 0.5×	13 0.3×	21	394
Xinyu Wang	246 1.0×	81 1.0×	9 0.1×	52 1.0×	34 0.7×	11	344
Hsin-Yi Li	282 1.2×	78 0.9×	11 0.2×	25 0.5×	118 2.3×	13	405

Countries citing papers authored by Pham Van Cuong

Since Specialization

Citations

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

Fields of papers citing papers by Pham Van Cuong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pham Van Cuong. 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 Pham Van Cuong. The network helps show where Pham Van Cuong may publish in the future.

Co-authorship network of co-authors of Pham Van Cuong

This figure shows the co-authorship network connecting the top 25 collaborators of Pham Van Cuong. A scholar is included among the top collaborators of Pham Van Cuong 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 Pham Van Cuong. Pham Van Cuong 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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