Jun Kong

1.2k total citations · 1 hit paper
71 papers, 811 citations indexed

About

Jun Kong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jun Kong has authored 71 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 10 papers in Artificial Intelligence. Recurrent topics in Jun Kong's work include Advanced Image and Video Retrieval Techniques (17 papers), Face and Expression Recognition (13 papers) and Image Retrieval and Classification Techniques (9 papers). Jun Kong is often cited by papers focused on Advanced Image and Video Retrieval Techniques (17 papers), Face and Expression Recognition (13 papers) and Image Retrieval and Classification Techniques (9 papers). Jun Kong collaborates with scholars based in China, Singapore and United Kingdom. Jun Kong's co-authors include Jianzhong Wang, Miao Qi, Yinghua Lu, Baoxue Zhang, Yugen Yi, Yugen Yi, Di Liu, Yanjiao Shi, Wei Zhou and Hui Xu and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Jun Kong

70 papers receiving 777 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SOD-YOLOv10: Small Object Detection in Remote Sensing Images Based on YOLOv10

2025 16 citations Hui Sun, Hui Xu et al. IEEE Geoscience and Remote Sensing Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Kong China	17	525	170	154	67	53	71	811
Haotong Qin China	14	535 1.0×	470 2.8×	74 0.5×	44 0.7×	44 0.8×	38	1.1k
Haishun Du China	11	262 0.5×	162 1.0×	69 0.4×	89 1.3×	20 0.4×	38	501
Wenbo Wan China	18	867 1.7×	110 0.6×	247 1.6×	14 0.2×	70 1.3×	86	1.2k
Hossein Khosravi Iran	15	334 0.6×	173 1.0×	106 0.7×	18 0.3×	36 0.7×	43	758
Siraj M. Khan Pakistan	9	365 0.7×	186 1.1×	56 0.4×	125 1.9×	29 0.5×	19	574
Jie Yan China	13	213 0.4×	172 1.0×	43 0.3×	170 2.5×	30 0.6×	57	620
Xuanjing Shen China	17	884 1.7×	194 1.1×	389 2.5×	70 1.0×	41 0.8×	103	1.2k
Yangxi Li China	15	386 0.7×	315 1.9×	56 0.4×	13 0.2×	22 0.4×	52	808
Yoshitaka Ushiku Japan	17	813 1.5×	243 1.4×	238 1.5×	11 0.2×	58 1.1×	55	1.2k

Countries citing papers authored by Jun Kong

Since Specialization

Citations

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

Fields of papers citing papers by Jun Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sun, Hui, et al.. (2025). SOD-YOLOv10: Small Object Detection in Remote Sensing Images Based on YOLOv10. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 16 indexed citations breakdown →

Xu, Hui, et al.. (2024). An Adaptive Dual Selective Transformer for Temporal Action Localization. IEEE Transactions on Multimedia. 26. 7398–7412. 3 indexed citations

Liu, Di, et al.. (2023). Non-Autoregressive Sparse Transformer Networks for Pedestrian Trajectory Prediction. Applied Sciences. 13(5). 3296–3296. 6 indexed citations

Ge, Yingying, et al.. (2023). Retinal vessel segmentation based on multi-scale feature and style transfer. Mathematical Biosciences & Engineering. 21(1). 49–74. 1 indexed citations

Liu, Yiming, et al.. (2021). Image Deblurring based on Lightweight Multi-Information Fusion Network. 1724–1728. 3 indexed citations

Liu, Jinlan, Jun Kong, Dongpo Xu, Miao Qi, & Yinghua Lu. (2021). Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization. Neural Networks. 145. 300–307. 20 indexed citations

Yi, Yugen, et al.. (2019). Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph. IEEE Transactions on Circuits and Systems for Video Technology. 30(2). 427–441. 66 indexed citations

Chen, Jianyu, Jun Kong, Yugen Yi, et al.. (2019). Scene Recognition via Semi-Supervised Multi-Feature Regression. IEEE Access. 7. 121612–121628. 2 indexed citations

Liu, Xiaoli, Peng Cao, Jianzhong Wang, Jun Kong, & Dazhe Zhao. (2018). Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer’s Disease. Neuroinformatics. 17(2). 271–294. 16 indexed citations

10.

Yi, Yugen, Chao Bi, Xiaohui Li, Jianzhong Wang, & Jun Kong. (2015). Semi-supervised local ridge regression for local matching based face recognition. Neurocomputing. 167. 132–146. 15 indexed citations

11.

Wang, Jianzhong, Yugen Yi, Wei Zhou, et al.. (2014). Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition. PLoS ONE. 9(11). e113198–e113198. 5 indexed citations

12.

Wang, Hong Yan, Cong Fan, Yong Bao, et al.. (2012). IVSPlat 1.0: an integrated virtual screening platform with a molecular graphical interface. Chemistry Central Journal. 6(1). 2–2. 19 indexed citations

13.

Qi, Miao, Yinghua Lu, Jianzhong Wang, & Jun Kong. (2010). Prediction of Microporous Aluminophosphate AlPO₄‐5 Based on Resampling Using Partial Least Squares and Logistic Discrimination. Molecular Informatics. 29(3). 203–210. 5 indexed citations

14.

Feng, Lei, Yinghua Lu, Jun Kong, & Zhong‐Min Su. (2010). Theoretical studies on the structure and properties of BN clusters (BN)n and endohedral metallo-BN clusters M@(BN)n. Computational and Theoretical Chemistry. 964(1-3). 56–64. 18 indexed citations

15.

Lu, Yinghua, et al.. (2008). Face Tracking in Video Sequences Using Particle Filter Based on Skin Color Model and Facial Contour. 457–461. 5 indexed citations

16.

Wang, Jianzhong, Jun Kong, Yinghua Lu, Miao Qi, & Baoxue Zhang. (2008). A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints. Computerized Medical Imaging and Graphics. 32(8). 685–698. 156 indexed citations

17.

Lu, Yinghua, et al.. (2007). An Image Steganographic Method with Noise Visibility Function and Dynamic Programming Strategy on Partitioned Pixels. 680–684. 1 indexed citations

18.

Kong, Jun. (2007). Computer-aided Plant Species Identification Based on LVQ Neural Network. Journal of Jilin University(Science Edition). 2 indexed citations

19.

Kong, Jun, Hongzhi Li, Yinghua Lu, Miao Qi, & Shuhua Wang. (2007). Hand-Based Personal Identification Using K-Means Clustering and Modified Zernike Moments. 651–655. 4 indexed citations

20.

Kong, Jun, et al.. (2007). A Novel Fusion Approach of Multi-exposure Image. 163–169. 6 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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