Hong Xin

78 total papers · 1.2k total citations
52 papers, 1000 citations indexed

About

Hong Xin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomaterials. According to data from OpenAlex, Hong Xin has authored 52 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 14 papers in Electrical and Electronic Engineering and 13 papers in Biomaterials. Recurrent topics in Hong Xin's work include Advanced Thermoelectric Materials and Devices (10 papers), Luminescence and Fluorescent Materials (9 papers) and Supramolecular Self-Assembly in Materials (8 papers). Hong Xin is often cited by papers focused on Advanced Thermoelectric Materials and Devices (10 papers), Luminescence and Fluorescent Materials (9 papers) and Supramolecular Self-Assembly in Materials (8 papers). Hong Xin collaborates with scholars based in China, United States and New Zealand. Hong Xin's co-authors include Xiao Dong Chen, Necati Özkan, Xiumei Wei, Jian‐Min Zhang, Haitao Wang, Min Li, Jian Zhang, Binglian Bai, Sining Yun and Dangli Gao and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Applied Physics Letters.

In The Last Decade

Hong Xin

50 papers receiving 980 citations

Author Peers

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

Author						Papers	Cites
Hong Xin	648	289	168	153	118	52	1000
Edvige Celasco	686 1.1×	327 1.1×	96 0.6×	248 1.6×	111 0.9×	58	1.2k
Maurício Pereira Cantão	425 0.7×	317 1.1×	103 0.6×	130 0.8×	137 1.2×	36	968
Steven J. Weigand	388 0.6×	316 1.1×	228 1.4×	118 0.8×	169 1.4×	25	989
Rui Zhang	747 1.2×	166 0.6×	156 0.9×	215 1.4×	166 1.4×	59	1.1k
Xingkun Man	414 0.6×	375 1.3×	107 0.6×	389 2.5×	110 0.9×	51	1.1k
Patrick Keil	601 0.9×	177 0.6×	64 0.4×	79 0.5×	88 0.7×	53	865
Toshimasa Hashimoto	386 0.6×	175 0.6×	91 0.5×	238 1.6×	276 2.3×	73	985
Yaqi Wang	381 0.6×	319 1.1×	67 0.4×	226 1.5×	84 0.7×	66	806
Zbigniew Rozynek	598 0.9×	310 1.1×	198 1.2×	422 2.8×	131 1.1×	53	1.2k
Xuegang Lu	526 0.8×	328 1.1×	74 0.4×	233 1.5×	82 0.7×	56	1.1k

Countries citing papers authored by Hong Xin

Since Specialization

Citations

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

Fields of papers citing papers by Hong Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Xin

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