Zhen Peng

60 total papers · 1.2k total citations
41 papers, 941 citations indexed

About

Zhen Peng is a scholar working on Artificial Intelligence, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Zhen Peng has authored 41 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Automotive Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Zhen Peng's work include Cognitive Science and Mapping (12 papers), Advanced Battery Technologies Research (10 papers) and Cognitive Computing and Networks (8 papers). Zhen Peng is often cited by papers focused on Cognitive Science and Mapping (12 papers), Advanced Battery Technologies Research (10 papers) and Cognitive Computing and Networks (8 papers). Zhen Peng collaborates with scholars based in China, Australia and Indonesia. Zhen Peng's co-authors include Lifeng Wu, Yong Guan, Beibei Yao, Zhijin Zhao, Shilian Zheng, Yanying Ma, Tingting Xu, Ran Zhang, Lifeng Wu and Huimei Yuan and has published in prestigious journals such as Journal of Power Sources, IEEE Access and Energy.

In The Last Decade

Zhen Peng

39 papers receiving 878 citations

Author Peers

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

Author						Papers	Cites
Zhen Peng	409	307	277	201	161	41	941
Yu Ding	219 0.5×	176 0.6×	355 1.3×	200 1.0×	112 0.7×	62	1.0k
Feng Liu	409 1.0×	331 1.1×	219 0.8×	114 0.6×	141 0.9×	54	918
Zihao Meng	321 0.8×	287 0.9×	224 0.8×	121 0.6×	66 0.4×	20	903
Diyin Tang	283 0.7×	207 0.7×	319 1.2×	140 0.7×	51 0.3×	52	969
Yao Zhang	310 0.8×	254 0.8×	153 0.6×	199 1.0×	295 1.8×	58	887
Zhen Zhao	518 1.3×	534 1.7×	539 1.9×	92 0.5×	89 0.6×	46	1.2k
Robert E. Larson	490 1.2×	111 0.4×	404 1.5×	145 0.7×	83 0.5×	41	1.1k
Md. Hafiz Ahamed	467 1.1×	234 0.8×	343 1.2×	112 0.6×	80 0.5×	35	1.2k
Hanmin Sheng	683 1.7×	512 1.7×	255 0.9×	263 1.3×	103 0.6×	32	1.0k
Lei Yao	590 1.4×	711 2.3×	389 1.4×	111 0.6×	78 0.5×	59	1.1k

Countries citing papers authored by Zhen Peng

Since Specialization

Citations

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

Fields of papers citing papers by Zhen Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Peng

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