Jinnan Gong

1.2k total citations
47 papers, 845 citations indexed

About

Jinnan Gong is a scholar working on Cognitive Neuroscience, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinnan Gong has authored 47 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 13 papers in Aerospace Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jinnan Gong's work include Functional Brain Connectivity Studies (20 papers), Infrared Target Detection Methodologies (11 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Jinnan Gong is often cited by papers focused on Functional Brain Connectivity Studies (20 papers), Infrared Target Detection Methodologies (11 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Jinnan Gong collaborates with scholars based in China, United States and Canada. Jinnan Gong's co-authors include Cheng Luo, Dezhong Yao, Hui He, Xiyang Zhi, Li Dong, Xi Chen, Dezhong Yao, Mingjun Duan, Jianfu Li and Tianjun Shi and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Jinnan Gong

45 papers receiving 838 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jinnan Gong China 17 476 176 123 105 104 47 845
Martin Luessi United States 11 1.1k 2.4× 148 0.8× 117 1.0× 65 0.6× 14 0.1× 18 1.5k
Yehezkel Yeshurun Israel 17 533 1.1× 167 0.9× 603 4.9× 26 0.2× 81 0.8× 33 1.3k
Xiuyuan Wang United States 21 798 1.7× 197 1.1× 51 0.4× 147 1.4× 18 0.2× 53 1.5k
Dazhi Cheng China 14 165 0.3× 28 0.2× 206 1.7× 75 0.7× 41 0.4× 42 770
Kaundinya Gopinath United States 22 1.4k 2.9× 511 2.9× 421 3.4× 244 2.3× 47 0.5× 68 2.4k
Claudio M. Privitera United States 15 450 0.9× 154 0.9× 528 4.3× 32 0.3× 18 0.2× 45 1.2k
T. Troscianko United Kingdom 17 563 1.2× 45 0.3× 331 2.7× 32 0.3× 36 0.3× 37 938
Arabinda Mishra United States 20 606 1.3× 575 3.3× 372 3.0× 60 0.6× 17 0.2× 39 1.3k
C. González United States 16 322 0.7× 100 0.6× 62 0.5× 90 0.9× 7 0.1× 40 893
Daniel Gounot France 15 338 0.7× 253 1.4× 59 0.5× 81 0.8× 7 0.1× 35 831

Countries citing papers authored by Jinnan Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jinnan Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinnan Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Jinnan Gong. A scholar is included among the top collaborators of Jinnan 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 Jinnan Gong. Jinnan 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.
Jiang, Sisi, Junxia Chen, Yuehan Wang, et al.. (2024). Striatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges. International Journal of Neural Systems. 34(4). 2450017–2450017. 2 indexed citations
2.
Zhi, Xiyang, et al.. (2024). CGFINet: Cross-Scale Guided High-Order Feature Interaction Change Detection Network for Remote Sensing Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14614–14629. 2 indexed citations
3.
Zhi, Xiyang, et al.. (2024). Self-Supervised Denoising via Blind Feature Extraction and Diffusion-Based Texture Generation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14.
4.
Cai, Jia, Min Xie, Sugai Liang, et al.. (2024). Dysfunction of thalamocortical circuits in early-onset schizophrenia. Cerebral Cortex. 34(8). 5 indexed citations
5.
Shi, Tianjun, Jinnan Gong, Jianming Hu, et al.. (2024). Evaluation and analysis of target interpretation capability for novel rotating synthetic aperture system. Optics and Lasers in Engineering. 176. 108052–108052. 1 indexed citations
6.
Tan, Ying, et al.. (2023). Attention-based and micro designed EfficientNetB2 for diagnosis of Alzheimer’s disease. Biomedical Signal Processing and Control. 82. 104571–104571. 11 indexed citations
7.
Sun, Yu, Xiyang Zhi, Lei Zhang, et al.. (2023). Characterization and experimental verification of the rotating synthetic aperture optical imaging system. Scientific Reports. 13(1). 17015–17015. 4 indexed citations
8.
Wang, Zhile, et al.. (2023). Multiscale Progressive Fusion Filter Network for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 7 indexed citations
9.
Zhi, Xiyang, et al.. (2023). Aircraft Target Detection in Low Signal-to-Noise Ratio Visible Remote Sensing Images. Remote Sensing. 15(8). 1971–1971. 16 indexed citations
10.
Zhi, Xiyang, et al.. (2022). Influence of Space Variability on Remote Sensing Image Restoration Performances. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
11.
Shi, Tianjun, Jinnan Gong, Jianming Hu, et al.. (2022). Feature-Enhanced CenterNet for Small Object Detection in Remote Sensing Images. Remote Sensing. 14(21). 5488–5488. 39 indexed citations
12.
Tan, Ying, et al.. (2022). Efficient self-attention mechanism and structural distilling model for Alzheimer’s disease diagnosis. Computers in Biology and Medicine. 147. 105737–105737. 37 indexed citations
13.
Khundrakpam, Budhachandra, Uku Vainik, Jinnan Gong, et al.. (2020). Neural correlates of polygenic risk score for autism spectrum disorders in general population. Brain Communications. 2(2). fcaa092–fcaa092. 16 indexed citations
14.
Zhi, Xiyang, et al.. (2019). Wavefront sensing method for diffraction optical system based on phase diversity. Infrared Physics & Technology. 102. 102980–102980. 1 indexed citations
15.
Jiang, Yuchao, Cheng Luo, Xin Li, et al.. (2018). Progressive Reduction in Gray Matter in Patients with Schizophrenia Assessed with MR Imaging by Using Causal Network Analysis. Radiology. 287(2). 633–642. 90 indexed citations
16.
Gong, Diankun, Weiyi Ma, Jinnan Gong, et al.. (2017). Action Video Game Experience Related to Altered Large-Scale White Matter Networks. Neural Plasticity. 2017. 1–7. 17 indexed citations
17.
Gong, Jinnan, Cheng Luo, Xuebin Chang, et al.. (2017). White Matter Connectivity Pattern Associate with Characteristics of Scalp EEG Signals. Brain Topography. 30(6). 797–809. 6 indexed citations
18.
He, Hui, Cheng Luo, Xin Chang, et al.. (2017). The Functional Integration in the Sensory-Motor System Predicts Aging in Healthy Older Adults. Frontiers in Aging Neuroscience. 8. 306–306. 31 indexed citations
19.
Cao, Weifang, Cheng Luo, Bin Zhu, et al.. (2014). Resting-state functional connectivity in anterior cingulate cortex in normal aging. Frontiers in Aging Neuroscience. 6. 280–280. 47 indexed citations
20.
Li, Jianfu, Cheng Luo, Yueheng Peng, et al.. (2014). Probabilistic Diffusion Tractography Reveals Improvement of Structural Network in Musicians. PLoS ONE. 9(8). e105508–e105508. 25 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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