Jun Gong

76 total papers · 420 total citations
47 papers, 277 citations indexed

About

Jun Gong is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Jun Gong has authored 47 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanical Engineering, 11 papers in Control and Systems Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Jun Gong's work include Advanced machining processes and optimization (12 papers), Tribology and Wear Analysis (8 papers) and Polymer Nanocomposites and Properties (7 papers). Jun Gong is often cited by papers focused on Advanced machining processes and optimization (12 papers), Tribology and Wear Analysis (8 papers) and Polymer Nanocomposites and Properties (7 papers). Jun Gong collaborates with scholars based in China, Vietnam and United States. Jun Gong's co-authors include Honggang Wang, Junfang Ren, Gui Gao, Vu Ngoc Pi, Lê Xuân Hưng, Qijun Li, Lưu Anh Tung, Yinlun Huang, Tran Thi Hong and Ning Xu and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Energy & Fuels and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Jun Gong

44 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Jun Gong 166 97 60 55 54 47 277
Honghao Yue 83 0.5× 76 0.8× 47 0.8× 28 0.5× 72 1.3× 40 283
Sergey Shevtsov 185 1.1× 84 0.9× 57 0.9× 41 0.7× 49 0.9× 50 307
Vahid Monfared 192 1.2× 95 1.0× 75 1.3× 23 0.4× 66 1.2× 40 306
Chao Li 156 0.9× 85 0.9× 24 0.4× 59 1.1× 29 0.5× 43 325
Junlong Liu 167 1.0× 43 0.4× 25 0.4× 34 0.6× 50 0.9× 31 330
Liang Bai 76 0.5× 30 0.3× 43 0.7× 29 0.5× 45 0.8× 37 267
Cheng Wang 257 1.5× 77 0.8× 32 0.5× 11 0.2× 30 0.6× 28 327
L. Pérez 122 0.7× 103 1.1× 31 0.5× 27 0.5× 46 0.9× 42 324
Dadan Ramdan 107 0.6× 124 1.3× 152 2.5× 11 0.2× 27 0.5× 34 317
Peng Zhou 75 0.5× 34 0.4× 41 0.7× 25 0.5× 27 0.5× 62 248

Countries citing papers authored by Jun Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Gong. A scholar is included among the top collaborators of Jun Gong 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 Jun Gong. Jun Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026