Chunlong Guan

46 total papers · 536 total citations
38 papers, 433 citations indexed

About

Chunlong Guan is a scholar working on Materials Chemistry, Mechanical Engineering and Ceramics and Composites. According to data from OpenAlex, Chunlong Guan has authored 38 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 16 papers in Mechanical Engineering and 7 papers in Ceramics and Composites. Recurrent topics in Chunlong Guan's work include MXene and MAX Phase Materials (14 papers), Advanced materials and composites (11 papers) and Advanced ceramic materials synthesis (6 papers). Chunlong Guan is often cited by papers focused on MXene and MAX Phase Materials (14 papers), Advanced materials and composites (11 papers) and Advanced ceramic materials synthesis (6 papers). Chunlong Guan collaborates with scholars based in China, Russia and Australia. Chunlong Guan's co-authors include Zhiwei Zhao, Shijie Zhang, Guanglei Wu, Guoqin Liu, Xiaobin Ding, Yuxing Peng, Hesheng Xia, Shun Wang, Ye Sun and Qingchang Meng and has published in prestigious journals such as Bioresource Technology, ACS Applied Materials & Interfaces and Journal of Colloid and Interface Science.

In The Last Decade

Chunlong Guan

34 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
Chunlong Guan	254	130	93	86	84	38	433
Caihong Xu	191 0.8×	162 1.2×	150 1.6×	152 1.8×	54 0.6×	32	446
Akira Idesaki	175 0.7×	140 1.1×	110 1.2×	129 1.5×	37 0.4×	46	423
K. Ueno	221 0.9×	97 0.7×	64 0.7×	43 0.5×	65 0.8×	28	470
Huy-Zu Cheng	173 0.7×	83 0.6×	70 0.8×	43 0.5×	117 1.4×	24	453
Guoxun Sun	235 0.9×	106 0.8×	36 0.4×	144 1.7×	73 0.9×	26	377
Seval Hale Güler	315 1.2×	141 1.1×	65 0.7×	29 0.3×	53 0.6×	42	465
K. Pazhanivel	144 0.6×	238 1.8×	56 0.6×	91 1.1×	94 1.1×	28	437
J. Suffner	304 1.2×	89 0.7×	47 0.5×	86 1.0×	109 1.3×	24	440
Xiang Guo	205 0.8×	43 0.3×	69 0.7×	53 0.6×	44 0.5×	28	383
O. Flores	259 1.0×	260 2.0×	57 0.6×	206 2.4×	49 0.6×	36	474

Countries citing papers authored by Chunlong Guan

Since Specialization

Citations

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

Fields of papers citing papers by Chunlong Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunlong Guan

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