Dongdong Hou

400 citations
22 papers · 258 indexed · h-index 8
Topics
Anomaly Detection Techniques and Applications (6 papers)Network Security and Intrusion Detection (5 papers)Adversarial Robustness in Machine Learning (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Dongdong Hou

21 papers receiving 247 citations

Peers

Dongdong Hou
Comparison fields: 5 of 62
  • Artificial Intelligence 83
  • Computer Vision and Pattern Recognition 81
  • Computer Networks and Communications 48
  • Control and Systems Engineering 48
  • Signal Processing 41
Replace Anselmo Montenegro with:
Anselmo Montenegro Brazil
Hongyi Zhang China
Jyoti Prakash Sahoo India
Xizhou Pan China
Benyamin Ghojogh Canada
Haojun Ai China
Daniele Calisi Italy
Michael D. Wagner United States
Chee Chong United States
Dongdong Hou relative to Anselmo Montenegro Brazil Anselmo Montenegro's profile →
Citations per field
00.5×5.1×
Anselmo Montenegro · 1×
Citations per year

Countries citing papers authored by Dongdong Hou

Since Specialization
Citations

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

Fields of papers citing papers by Dongdong Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdong Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Dongdong Hou. A scholar is included among the top collaborators of Dongdong Hou 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 Dongdong Hou. Dongdong Hou 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 0
2 4
3 2
4 2
5 3
6 5
7 4
8 4
9 1
10 4
11 21
12 41
13 44
14 6
15 25
16 37
17
Detecting Adversarial Examples Based on Steganalysis.
3
18 8
19 33
20 1

About Dongdong Hou

Dongdong Hou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 22 papers that have together received 258 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Network Security and Intrusion Detection (5 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (81 citations), Signal Processing (41 citations) and Software (12 citations). Dongdong Hou has collaborated with scholars based in China and United States. Frequent co-authors include Yang Cong, Gan Sun, Jiahua Dong, Jingju Liu, Xiaofeng Zhong, Yue Zhang, Xiaowei Xu, Chenguang Yang, Huijie Fan and Haibin Yu. Their work appears in journals such as IEEE Transactions on Smart Grid, Pattern Recognition and IEEE Transactions on Cybernetics.

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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