Jing Dong

4.1k citations
83 papers · 2.2k indexed · 2 hit papers · h-index 21
Topics
Digital Media Forensic Detection (35 papers)Advanced Steganography and Watermarking Techniques (24 papers)Generative Adversarial Networks and Image Synthesis (23 papers)

In The Last Decade

Jing Dong

79 papers receiving 2.1k citations

Hit Papers

CASIA Image Tampering Detection Evaluation Database201320262017202120132015100200300400

Peers

Jing Dong
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 1.8k
  • Artificial Intelligence 336
  • Media Technology 312
  • Biophysics 133
  • Signal Processing 130
Replace N. Sudha with:
N. Sudha India
Jilin Li China
Chien-Ping Chang Taiwan
Anselmo Ferreira Brazil
Daming Shi China
Xianquan Zhang China
Xifeng Guo China
Kunhong Liu China
Xuemei Li China
Jing Dong relative to N. Sudha India N. Sudha's profile →
Citations per field
00.5×6.2×
N. Sudha · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 1
3 17
4 4
5 3
6 12
7 2
8 12
9 2
10 5
11 55
12 40
13 3
14 1
15 60
16 108
17 43
18
CASIA Image Tampering Detection Evaluation Databasebreakdown →
456
19
Multiple Logistic regression analysis on constitutional factors of hypertension
1
20
Research on nonlinear combination forecasting method based on wavelet network
8

About Jing Dong

Jing Dong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (35 papers), Advanced Steganography and Watermarking Techniques (24 papers) and Generative Adversarial Networks and Image Synthesis (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Media Technology (312 citations) and Biophysics (133 citations). Jing Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Wang, Tieniu Tan, Yinlong Qian, Chuan Qin, Ping Ji, Xinpeng Zhang, Bo Peng, Jinwei Wang, Zhibin Pan and Yong Cao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Communications and ACS Catalysis.

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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