Feng‐Ying Dong

74 total papers · 911 total citations
44 papers, 790 citations indexed

About

Feng‐Ying Dong is a scholar working on Electronic, Optical and Magnetic Materials, Organic Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Feng‐Ying Dong has authored 44 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electronic, Optical and Magnetic Materials, 14 papers in Organic Chemistry and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Feng‐Ying Dong's work include Magnetism in coordination complexes (14 papers), Organic and Molecular Conductors Research (12 papers) and Supercapacitor Materials and Fabrication (10 papers). Feng‐Ying Dong is often cited by papers focused on Magnetism in coordination complexes (14 papers), Organic and Molecular Conductors Research (12 papers) and Supercapacitor Materials and Fabrication (10 papers). Feng‐Ying Dong collaborates with scholars based in China, Czechia and Australia. Feng‐Ying Dong's co-authors include Liangyu Gong, Linghao Su, Yuanyuan Shang, Yansong Gai, Jianmin Dou, Xike Gao, Dacheng Li, Tian Xie, Daqi Wang and Liang Wang and has published in prestigious journals such as Analytical Chemistry, Journal of Colloid and Interface Science and Electrochimica Acta.

In The Last Decade

Feng‐Ying Dong

42 papers receiving 779 citations

Author Peers

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

Author						Papers	Cites
Feng‐Ying Dong	399	322	237	159	133	44	790
Rabia Ahmad	397 1.0×	353 1.1×	157 0.7×	370 2.3×	91 0.7×	40	847
K. Dhirendra	272 0.7×	273 0.8×	213 0.9×	320 2.0×	288 2.2×	41	906
M. Kalaivani	269 0.7×	216 0.7×	132 0.6×	152 1.0×	40 0.3×	32	628
Çağrı Çırak	250 0.6×	183 0.6×	238 1.0×	292 1.8×	40 0.3×	54	791
Sofija P. Sovilj	152 0.4×	216 0.7×	240 1.0×	301 1.9×	143 1.1×	49	843
Adam Brookfield	127 0.3×	258 0.8×	225 0.9×	169 1.1×	85 0.6×	39	789
Raghuvir Singh	168 0.4×	176 0.5×	199 0.8×	225 1.4×	205 1.5×	39	649
Mohammed Alsawat	178 0.4×	198 0.6×	176 0.7×	378 2.4×	40 0.3×	49	864
Ming‐Yu Teng	124 0.3×	394 1.2×	205 0.9×	381 2.4×	63 0.5×	38	777
Pulakesh Bera	114 0.3×	256 0.8×	305 1.3×	321 2.0×	159 1.2×	46	809

Countries citing papers authored by Feng‐Ying Dong

Since Specialization

Citations

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

Fields of papers citing papers by Feng‐Ying Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Ying Dong. 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 Feng‐Ying Dong. The network helps show where Feng‐Ying Dong may publish in the future.

Co-authorship network of co-authors of Feng‐Ying Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Ying Dong. A scholar is included among the top collaborators of Feng‐Ying Dong 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 Feng‐Ying Dong. Feng‐Ying Dong 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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