Peng Lin

29 total papers · 682 total citations
27 papers, 564 citations indexed

About

Peng Lin is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Peng Lin has authored 27 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Materials Chemistry, 7 papers in Mechanical Engineering and 6 papers in Mechanics of Materials. Recurrent topics in Peng Lin's work include Shape Memory Alloy Transformations (13 papers), Titanium Alloys Microstructure and Properties (12 papers) and Microstructure and mechanical properties (6 papers). Peng Lin is often cited by papers focused on Shape Memory Alloy Transformations (13 papers), Titanium Alloys Microstructure and Properties (12 papers) and Microstructure and mechanical properties (6 papers). Peng Lin collaborates with scholars based in China, Hong Kong and New Zealand. Peng Lin's co-authors include Chenglin Chu, C.Y. Chung, Chengzhong Chi, Paul K. Chu, Shuzhi Zhang, Hisaaki TOBUSHI, K. Tanaka, Jun Shen, Yinsheng Dong and Ying Sun and has published in prestigious journals such as Journal of the American Chemical Society, Materials Science and Engineering A and Journal of Materials Science.

In The Last Decade

Peng Lin

26 papers receiving 542 citations

Author Peers

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

Author						Papers	Cites
Peng Lin	481	231	113	102	34	27	564
Yupeng Zhang	375 0.8×	314 1.4×	86 0.8×	95 0.9×	38 1.1×	43	588
Robert Schaller	331 0.7×	277 1.2×	74 0.7×	60 0.6×	27 0.8×	29	509
Nestor Ankah	451 0.9×	118 0.5×	114 1.0×	62 0.6×	26 0.8×	25	533
Quansheng Ma	275 0.6×	260 1.1×	274 2.4×	140 1.4×	44 1.3×	26	526
Piotr Maj	285 0.6×	576 2.5×	101 0.9×	104 1.0×	36 1.1×	34	691
Péter Kun	450 0.9×	346 1.5×	138 1.2×	124 1.2×	15 0.4×	20	691
Akira Yamakawa	277 0.6×	217 0.9×	69 0.6×	84 0.8×	30 0.9×	43	564
Shouhong Tan	236 0.5×	309 1.3×	54 0.5×	71 0.7×	41 1.2×	22	529
Sara Khamseh	460 1.0×	158 0.7×	328 2.9×	117 1.1×	57 1.7×	32	605
Daihua He	392 0.8×	182 0.8×	271 2.4×	191 1.9×	66 1.9×	45	595

Countries citing papers authored by Peng Lin

Since Specialization

Citations

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

Fields of papers citing papers by Peng Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Lin

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