Peng Jin

70 total papers · 1.0k total citations
44 papers, 750 citations indexed

About

Peng Jin is a scholar working on Civil and Structural Engineering, Environmental Engineering and Materials Chemistry. According to data from OpenAlex, Peng Jin has authored 44 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Civil and Structural Engineering, 14 papers in Environmental Engineering and 12 papers in Materials Chemistry. Recurrent topics in Peng Jin's work include Concrete and Cement Materials Research (13 papers), Microbial Applications in Construction Materials (10 papers) and Anaerobic Digestion and Biogas Production (6 papers). Peng Jin is often cited by papers focused on Concrete and Cement Materials Research (13 papers), Microbial Applications in Construction Materials (10 papers) and Anaerobic Digestion and Biogas Production (6 papers). Peng Jin collaborates with scholars based in China, Denmark and Hong Kong. Peng Jin's co-authors include Ruixing Wang, Yilin Su, Hua Dong, Chunxiang Qian, Jianhang Feng, Quanguo Zhang, Qianxi Wang, Wei Zhang, Yanyan Jing and Yameng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Peng Jin

43 papers receiving 736 citations

Author Peers

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

Author						Papers	Cites
Peng Jin	321	267	208	172	112	44	750
Hui Cheng	116 0.4×	94 0.4×	337 1.6×	71 0.4×	223 2.0×	32	869
Junfeng Wang	222 0.7×	192 0.7×	92 0.4×	143 0.8×	56 0.5×	34	681
Zarina Itam	244 0.8×	67 0.3×	226 1.1×	102 0.6×	55 0.5×	69	792
Feng‐Cheng Chang	74 0.2×	76 0.3×	393 1.9×	59 0.3×	288 2.6×	47	778
Marzieh Badiei	63 0.2×	55 0.2×	190 0.9×	107 0.6×	207 1.8×	23	772
Bikash R. Tiwari	78 0.2×	449 1.7×	178 0.9×	35 0.2×	181 1.6×	32	860
Tao Li	427 1.3×	52 0.2×	458 2.2×	67 0.4×	44 0.4×	52	764
Xing Zheng	28 0.1×	85 0.3×	155 0.7×	163 0.9×	181 1.6×	41	707
Hong Guo	447 1.4×	98 0.4×	192 0.9×	71 0.4×	104 0.9×	35	705
Mohammad Mahdi Taheri	199 0.6×	185 0.7×	50 0.2×	259 1.5×	324 2.9×	37	869

Countries citing papers authored by Peng Jin

Since Specialization

Citations

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

Fields of papers citing papers by Peng Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Jin

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