Haijun Gong
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies 5
- Mechanical Engineering top 10%
- Additive Manufacturing Materials and Processes 5
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- Gene Regulatory Network Analysis 6
- Bioinformatics and Genomic Networks 5
- Single-cell and spatial transcriptomics 4
- Plant tissue culture and regeneration 3
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- Endoplasmic Reticulum Stress and Disease 3
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- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Kamran KardelDean SnellingAndres L. CarranoEdmund M. ClarkePaolo ZulianiTong Tong WuJames R. FaederAnvesh Komuravelli
- Journals
- SHILAP Revista de lepidopterología (3 papers)Bioinformatics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Haijun Gong
35 papers receiving 607 citations
Peers
Comparison fields: 5 of 107
- Automotive Engineering 211
- Mechanical Engineering 245
- Industrial and Manufacturing Engineering 58
- Molecular Biology 199
- Cell Biology 45
Countries citing papers authored by Haijun Gong
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
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
The 25 scholars most cited alongside Haijun Gong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 33 | |
| 9 | 2021 | 8 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 2 | |
| 12 | 2015 | 6 | |
| 13 | 2014 | 21 | |
| 14 | 2014 | 14 | |
| 15 | 2013 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2010 | 53 | |
| 18 | 2010 | 13 | |
| 19 | 2009 | 36 | |
| 20 | 2008 | 19 |
About Haijun Gong
Haijun Gong is a scholar working on Automotive Engineering, Molecular Biology and Computational Theory and Mathematics, having authored 38 papers that have together received 629 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Additive Manufacturing Materials and Processes (5 papers), Bioinformatics and Genomic Networks (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Single-cell and spatial transcriptomics (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Plant tissue culture and regeneration (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Automotive Engineering (211 citations), Mechanical Engineering (245 citations) and Industrial and Manufacturing Engineering (58 citations). Haijun Gong has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Kamran Kardel, Dean Snelling, Andres L. Carrano, Edmund M. Clarke, Paolo Zuliani, Tong Tong Wu, James R. Faeder, Anvesh Komuravelli, Suo‐Min Wang and Zhang Chenglie. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.