Haijun Gong

46 total papers · 4.2k total citations
32 papers, 3.4k citations indexed

About

Haijun Gong is a scholar working on Automotive Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Haijun Gong has authored 32 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 20 papers in Mechanical Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Haijun Gong's work include Additive Manufacturing and 3D Printing Technologies (20 papers), Additive Manufacturing Materials and Processes (18 papers) and High Entropy Alloys Studies (6 papers). Haijun Gong is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (20 papers), Additive Manufacturing Materials and Processes (18 papers) and High Entropy Alloys Studies (6 papers). Haijun Gong collaborates with scholars based in China, United States and Singapore. Haijun Gong's co-authors include Brent Stucker, Thomas L. Starr, Khalid Rafi, Hengfeng Gu, H. Khalid Rafi, G.D. Janaki Ram, Deepankar Pal, J.J.S. Dilip, Kai Zeng and Chong Teng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Nutrients.

In The Last Decade

Haijun Gong

30 papers receiving 3.3k citations

Hit Papers

Analysis of defect genera... 2013 2026 2017 2021 2014 2013 2015 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Haijun Gong 3.1k 2.3k 718 340 302 32 3.4k
Niranjan D. Parab 4.2k 1.4× 2.5k 1.1× 714 1.0× 326 1.0× 434 1.4× 71 4.9k
Frederik Verhaeghe 2.9k 1.0× 1.6k 0.7× 872 1.2× 169 0.5× 378 1.3× 33 3.4k
Changhui Song 3.1k 1.0× 2.0k 0.9× 617 0.9× 218 0.6× 498 1.6× 112 3.7k
Ross Cunningham 2.8k 0.9× 1.8k 0.8× 433 0.6× 216 0.6× 260 0.9× 19 3.0k
Chris Sutcliffe 3.1k 1.0× 2.0k 0.9× 442 0.6× 345 1.0× 572 1.9× 84 3.8k
Xiaopeng Li 3.8k 1.3× 1.7k 0.7× 1.0k 1.4× 103 0.3× 369 1.2× 147 4.5k
Paul A. Hooper 3.3k 1.1× 1.4k 0.6× 577 0.8× 213 0.6× 224 0.7× 75 3.7k
Bey Vrancken 4.5k 1.5× 2.5k 1.1× 1.6k 2.2× 212 0.6× 381 1.3× 46 4.8k
Giulio Marchese 2.4k 0.8× 1.4k 0.6× 431 0.6× 134 0.4× 188 0.6× 71 2.7k
Saad A. Khairallah 7.3k 2.4× 5.0k 2.2× 938 1.3× 846 2.5× 413 1.4× 49 8.0k

Countries citing papers authored by Haijun Gong

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Gong

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