Wei Long

23 total papers · 495 total citations
17 papers, 242 citations indexed

About

Wei Long is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Wei Long has authored 17 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 7 papers in Polymers and Plastics and 6 papers in Materials Chemistry. Recurrent topics in Wei Long's work include Perovskite Materials and Applications (10 papers), Conducting polymers and applications (7 papers) and Chalcogenide Semiconductor Thin Films (5 papers). Wei Long is often cited by papers focused on Perovskite Materials and Applications (10 papers), Conducting polymers and applications (7 papers) and Chalcogenide Semiconductor Thin Films (5 papers). Wei Long collaborates with scholars based in China and United Kingdom. Wei Long's co-authors include Xixiang Xu, Fuguo Peng, Miao Yang, Xiaoning Ru, Minghao Qu, Hui Yan, Jianqiang Wang, Kun Zheng, Liang Fang and Gangqiang Dong and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Wei Long

16 papers receiving 238 citations

Author Peers

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

Author						Papers	Cites
Wei Long	230	87	52	31	25	17	242
Chen‐Wei Peng	211 0.9×	87 1.0×	49 0.9×	32 1.0×	16 0.6×	18	235
N. Haddad	222 1.0×	51 0.6×	43 0.8×	31 1.0×	26 1.0×	24	248
Oliver Schultz‐Wittmann	320 1.4×	84 1.0×	120 2.3×	28 0.9×	31 1.2×	18	331
Patrick Schygulla	275 1.2×	82 0.9×	71 1.4×	27 0.9×	29 1.2×	23	294
J. Michel	274 1.2×	109 1.3×	129 2.5×	21 0.7×	17 0.7×	20	305
Tara Nietzold	269 1.2×	184 2.1×	34 0.7×	15 0.5×	23 0.9×	24	317
F. A. Shirland	285 1.2×	161 1.9×	134 2.6×	19 0.6×	19 0.8×	20	314
Muhammad Najib Harif	300 1.3×	278 3.2×	45 0.9×	16 0.5×	15 0.6×	26	328
Zunke Liu	313 1.4×	101 1.2×	114 2.2×	43 1.4×	11 0.4×	35	324
Menglei Xu	205 0.9×	85 1.0×	49 0.9×	14 0.5×	38 1.5×	29	236

Countries citing papers authored by Wei Long

Since Specialization

Citations

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

Fields of papers citing papers by Wei Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Long

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