Jing Dong

4.1k total citations · 2 hit papers
83 papers, 2.2k citations indexed

About

Jing Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jing Dong has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Jing Dong's work include Digital Media Forensic Detection (35 papers), Advanced Steganography and Watermarking Techniques (24 papers) and Generative Adversarial Networks and Image Synthesis (23 papers). Jing Dong is often cited by papers focused on Digital Media Forensic Detection (35 papers), Advanced Steganography and Watermarking Techniques (24 papers) and Generative Adversarial Networks and Image Synthesis (23 papers). Jing Dong collaborates with scholars based in China, United States and United Kingdom. Jing Dong's co-authors include Wei Wang, Tieniu Tan, Yinlong Qian, Chuan Qin, Ping Ji, Xinpeng Zhang, Bo Peng, Jinwei Wang, Zhibin Pan and Yong Cao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Communications and ACS Catalysis.

In The Last Decade

Jing Dong

79 papers receiving 2.1k citations

Hit Papers

CASIA Image Tampering Detection Evaluation Database 2013 2026 2017 2021 2013 2015 100 200 300 400
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.

  1. CASIA Image Tampering Detection Evaluation Database
    2013 456 citations Jing Dong, Wei Wang et al. profile →
  2. Deep learning for steganalysis via convolutional neural networks
    2015 319 citations Yinlong Qian, Jing Dong et al. profile →

Peers

Jing Dong
N. Sudha India
Chien-Ping Chang Taiwan
Jilin Li China
Xianquan Zhang China
Anselmo Ferreira Brazil
Xifeng Guo China
Daming Shi China
Kunhong Liu China
N. Sudha India
Jing Dong
Citations per year, relative to Jing Dong Jing Dong (= 1×) peers N. Sudha

Countries citing papers authored by Jing Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jing Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Dong. A scholar is included among the top collaborators of Jing Dong 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 Jing Dong. Jing Dong 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.
Zhang, Xiaoran, et al.. (2024). A reversible data hiding method based on bitmap prediction for AMBTC compressed hyperspectral images. Journal of Information Security and Applications. 81. 103697–103697. 4 indexed citations
2.
Wang, Wei, et al.. (2024). Exploiting Backdoors of Face Synthesis Detection with Natural Triggers. ACM Transactions on Multimedia Computing Communications and Applications. 21(2). 1–24. 1 indexed citations
3.
Chen, Xinan, Ruibin Bai, Rong Qu, Jing Dong, & Yaochu Jin. (2024). Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks. IEEE Transactions on Evolutionary Computation. 29(4). 1371–1385. 17 indexed citations
4.
Wang, Wei, et al.. (2023). Context-Aware Talking-Head Video Editing. 7718–7727. 4 indexed citations
5.
Chen, Xinan, et al.. (2023). Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching. Repository@Nottingham (University of Nottingham). 2246–2251. 3 indexed citations
6.
Lin, Tianwei, et al.. (2023). Notice of Removal: DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation. 6894–6903. 12 indexed citations
7.
Li, Jian, Wende Hu, Yu Wang, et al.. (2023). Functional confinement of a zinc-oxide-supported gold catalyst enhances the direct synthesis of hydrogen peroxide. Cell Reports Physical Science. 4(1). 101236–101236. 2 indexed citations
8.
Pan, Zhibin, et al.. (2022). Pixel type classification based reversible data hiding for hyperspectral images. Knowledge-Based Systems. 254. 109606–109606. 12 indexed citations
9.
Dong, Jing, et al.. (2022). Deep Forest-Based Intelligent Yield Predicting of Buchwald-Hartwig Coupling Reaction. match Communications in Mathematical and in Computer Chemistry. 88(1). 5–27. 2 indexed citations
10.
He, Ziwen, Wei Wang, Jing Dong, & Tieniu Tan. (2022). Revisiting ensemble adversarial attack. Signal Processing Image Communication. 107. 116747–116747. 5 indexed citations
11.
Pan, Zhibin, et al.. (2021). A new two-layer nearest neighbor selection method for kNN classifier. Knowledge-Based Systems. 235. 107604–107604. 55 indexed citations
12.
Peng, Bo, et al.. (2021). A Unified Framework for High Fidelity Face Swap and Expression Reenactment. IEEE Transactions on Circuits and Systems for Video Technology. 32(6). 3673–3684. 40 indexed citations
13.
Dong, Jing, et al.. (2021). Intelligent predicting reaction performance in multi-dimensional chemical space using quantile regression forest. match Communications in Mathematical and in Computer Chemistry. 87(2). 299–318. 3 indexed citations
14.
He, Yangyang, Xinyi Wang, & Jing Dong. (2020). Fault feature extraction method for marine shafting based on empirical wavelet transform-spectral kurtosis. 15. 1–9. 1 indexed citations
15.
Qin, Chuan, Zhihong He, Xiangyang Luo, & Jing Dong. (2018). Reversible data hiding in encrypted image with separable capability and high embedding capacity. Information Sciences. 465. 285–304. 60 indexed citations
16.
Qian, Yinlong, Jing Dong, Wei Wang, & Tieniu Tan. (2016). Learning and transferring representations for image steganalysis using convolutional neural network. 2752–2756. 108 indexed citations
17.
Qin, Chuan, Xueqin Chen, Jing Dong, & Xinpeng Zhang. (2016). Perceptual image hashing with selective sampling for salient structure features. Displays. 45. 26–37. 43 indexed citations
18.
Dong, Jing, Wei Wang, & Tieniu Tan. (2013). CASIA Image Tampering Detection Evaluation Database. 422–426. 456 indexed citations breakdown →
19.
Dong, Jing. (2009). Multiple Logistic regression analysis on constitutional factors of hypertension. Journal of Beijing University of Traditional Chinese Medicine. 1 indexed citations
20.
Dong, Jing. (2000). Research on nonlinear combination forecasting method based on wavelet network. Journal of systems engineering. 8 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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