Zhang Jun

77 total papers · 478 total citations
27 papers, 384 citations indexed

About

Zhang Jun is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Zhang Jun has authored 27 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 8 papers in Civil and Structural Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Zhang Jun's work include Gear and Bearing Dynamics Analysis (8 papers), Mechanical Engineering and Vibrations Research (5 papers) and Advanced machining processes and optimization (4 papers). Zhang Jun is often cited by papers focused on Gear and Bearing Dynamics Analysis (8 papers), Mechanical Engineering and Vibrations Research (5 papers) and Advanced machining processes and optimization (4 papers). Zhang Jun collaborates with scholars based in China, United States and Singapore. Zhang Jun's co-authors include Miao Yu, Zhiyong Fan, Yun‐Ze Long, Xiaoxiong Wang, Seeram Ramakrishna, Wei-Zhi Song, Hui-Jing Qiu, Yu Liu, Ran Ding and Yuwei Li and has published in prestigious journals such as Nano Energy, Construction and Building Materials and Engineering Structures.

In The Last Decade

Zhang Jun

25 papers receiving 376 citations

Author Peers

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

Author						Papers	Cites
Zhang Jun	145	116	109	93	83	27	384
Hou-Qi Sun	250 1.7×	68 0.6×	56 0.5×	105 1.1×	57 0.7×	20	390
Guansheng Yin	97 0.7×	205 1.8×	194 1.8×	81 0.9×	85 1.0×	28	429
Xin Cheng	149 1.0×	150 1.3×	53 0.5×	23 0.2×	50 0.6×	23	349
Pengcheng Zhu	235 1.6×	71 0.6×	66 0.6×	137 1.5×	65 0.8×	21	417
Jiqing Jiang	125 0.9×	188 1.6×	131 1.2×	61 0.7×	21 0.3×	25	375
J. Carbajo	274 1.9×	111 1.0×	72 0.7×	18 0.2×	51 0.6×	31	385
Feiyang He	111 0.8×	60 0.5×	132 1.2×	22 0.2×	53 0.6×	41	360
Xiaowei Wang	42 0.3×	84 0.7×	148 1.4×	20 0.2×	48 0.6×	25	347
Daniel Tscharnuter	178 1.2×	62 0.5×	93 0.9×	123 1.3×	29 0.3×	26	438
Hyung Doh Roh	93 0.6×	112 1.0×	80 0.7×	60 0.6×	18 0.2×	29	350

Countries citing papers authored by Zhang Jun

Since Specialization

Citations

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

Fields of papers citing papers by Zhang Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhang Jun

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