Pengju Wang

49 total papers · 509 total citations
24 papers, 364 citations indexed

About

Pengju Wang is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pengju Wang has authored 24 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pengju Wang's work include 3D Printing in Biomedical Research (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Pengju Wang is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Pengju Wang collaborates with scholars based in China, Germany and Japan. Pengju Wang's co-authors include Yazhou Sun, Haitao Liu, Boxin Li, Chao Hu, Liu Qing, Zejun Chen, Taiqian Mo, Qunhui Yuan, Wei Gan and Haoqiang Wang and has published in prestigious journals such as Journal of Power Sources, Materials Science and Engineering A and Materials & Design.

In The Last Decade

Pengju Wang

20 papers receiving 353 citations

Author Peers

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

Author						Papers	Cites
Pengju Wang	159	100	91	88	45	24	364
Mingyu Lee	153 1.0×	49 0.5×	45 0.5×	77 0.9×	57 1.3×	29	387
Xuezheng Yue	66 0.4×	114 1.1×	170 1.9×	35 0.4×	77 1.7×	36	338
Youping Gong	181 1.1×	106 1.1×	50 0.5×	31 0.4×	31 0.7×	55	302
Ge Li	99 0.6×	17 0.2×	71 0.8×	69 0.8×	44 1.0×	53	366
Soonho Kwon	215 1.4×	27 0.3×	67 0.7×	102 1.2×	95 2.1×	27	403
Sanjeev Kumar	123 0.8×	130 1.3×	125 1.4×	28 0.3×	60 1.3×	31	403
Zhang Xiao-li	99 0.6×	17 0.2×	82 0.9×	67 0.8×	95 2.1×	12	353
Nitin Nagesh Kulkarni	135 0.8×	164 1.6×	70 0.8×	37 0.4×	8 0.2×	14	388
Jie Wang	98 0.6×	17 0.2×	57 0.6×	97 1.1×	44 1.0×	36	386
Dong Yong Park	118 0.7×	36 0.4×	164 1.8×	23 0.3×	48 1.1×	35	334

Countries citing papers authored by Pengju Wang

Since Specialization

Citations

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

Fields of papers citing papers by Pengju Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengju Wang

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