Haijun Gong

906 total citations
38 papers, 629 citations indexed

About

Haijun Gong is a scholar working on Molecular Biology, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Haijun Gong has authored 38 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Mechanical Engineering and 6 papers in Automotive Engineering. Recurrent topics in Haijun Gong's work include Gene Regulatory Network Analysis (6 papers), Additive Manufacturing Materials and Processes (5 papers) and Bioinformatics and Genomic Networks (5 papers). Haijun Gong is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Additive Manufacturing Materials and Processes (5 papers) and Bioinformatics and Genomic Networks (5 papers). Haijun Gong collaborates with scholars based in United States, China and Spain. Haijun Gong's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Haijun Gong

35 papers receiving 607 citations

Peers

Haijun Gong
Chunhui Zhang China
Xuemei Huang China
Shining Li China
Chengyao Wang China
Xu Xiao China
K. Lakshmi Narayanan India
Liu Lili China
Kehan Zhang China
Chunhui Zhang China
Haijun Gong
Citations per year, relative to Haijun Gong Haijun Gong (= 1×) peers Chunhui Zhang

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

20 of 20 papers shown
1.
2.
Gong, Haijun, et al.. (2025). Anomaly Detection in High-Dimensional Time Series Data with Scaled Bregman Divergence. Algorithms. 18(2). 62–62. 2 indexed citations
3.
Gong, Haijun, et al.. (2025). Bidirectional f-Divergence-Based Deep Generative Method for Imputing Missing Values in Time-Series Data. Stats. 8(1). 7–7. 2 indexed citations
4.
Roberts, Sarah, et al.. (2025). Reconstructing Dynamic Gene Regulatory Networks Using f-Divergence from Time-Series scRNA-Seq Data. Current Issues in Molecular Biology. 47(6). 408–408.
5.
Al‐Hammadi, Noor, et al.. (2024). tBN-CSDI: a time-varying blue noise-based diffusion model for time-series imputation. Bioinformatics Advances. 5(1). vbaf225–vbaf225.
6.
Zhang, Lingling, et al.. (2024). Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence. SHILAP Revista de lepidopterología. 7(2). 462–480. 5 indexed citations
7.
Si, Tong, et al.. (2023). A novel f-divergence based generative adversarial imputation method for scRNA-seq data analysis. PLoS ONE. 18(11). e0292792–e0292792. 3 indexed citations
8.
Wan, Yixing, Yanhai Cheng, Yongxiong Chen, et al.. (2023). A Nitride-Reinforced NbMoTaWHfN Refractory High-Entropy Alloy with Potential Ultra-High-Temperature Engineering Applications. Engineering. 30. 110–120. 33 indexed citations
9.
Gong, Haijun, et al.. (2021). A case study of using an efficient CRISPR/Cas9 system to develop variegated lettuce. SHILAP Revista de lepidopterología. 1(1). 1–10. 8 indexed citations
10.
Gong, Haijun, et al.. (2019). Impact Strength of 3D Printed Polyether-ether-ketone (PEEK). Texas Digital Library (University of Texas). 715. 4 indexed citations
11.
Wang, Zi, Yun Guo, & Haijun Gong. (2018). An Integrative Analysis of Time-varying Regulatory Networks From High-dimensional Data. PubMed. 5688. 3798–3807. 2 indexed citations
12.
Gong, Haijun, et al.. (2015). A novel procedure for statistical inference and verification of gene regulatory subnetwork. BMC Bioinformatics. 16(S7). S7–S7. 6 indexed citations
13.
Gong, Haijun, Tong Tong Wu, & Edmund M. Clarke. (2014). Pathway-gene identification for pancreatic cancer survival via doubly regularized Cox regression. BMC Systems Biology. 8(Suppl 1). S3–S3. 21 indexed citations
14.
Gong, Haijun & Lu Feng. (2014). Computational analysis of the roles of ER-Golgi network in the cell cycle. BMC Systems Biology. 8(Suppl 4). S3–S3. 14 indexed citations
15.
Gong, Haijun. (2013). Analysis of intercellular signal transduction in the tumor microenvironment. BMC Systems Biology. 7(Suppl 3). S5–S5. 8 indexed citations
16.
Gong, Haijun, et al.. (2011). Formal analysis for logical models of pancreatic cancer. IRIS Research product catalog (Sapienza University of Rome). 2404. 4855–4860. 8 indexed citations
17.
Gong, Haijun, Paolo Zuliani, Anvesh Komuravelli, James R. Faeder, & Edmund M. Clarke. (2010). Analysis and verification of the HMGB1 signaling pathway. BMC Bioinformatics. 11(S7). S10–S10. 53 indexed citations
18.
Gong, Haijun, Yusong Guo, Adam D. Linstedt, & Russell Schwartz. (2010). Discrete, continuous, and stochastic models of protein sorting in the Golgi apparatus. Physical Review E. 81(1). 11914–11914. 13 indexed citations
19.
Mills-Tettey, G. Ayorkor, et al.. (2009). Improving child literacy in Africa: experiments with an automated reading tutor. 6(2). 129–138. 36 indexed citations
20.
Gong, Haijun, Debrup Sengupta, Adam D. Linstedt, & Russell Schwartz. (2008). Simulated De Novo Assembly of Golgi Compartments by Selective Cargo Capture during Vesicle Budding and Targeted Vesicle Fusion. Biophysical Journal. 95(4). 1674–1688. 19 indexed citations

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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