Ying Zhong

724 citations
32 papers · 460 indexed · h-index 9
Topics
Network Security and Intrusion Detection (8 papers)Anomaly Detection Techniques and Applications (7 papers)Data Management and Algorithms (7 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Ying Zhong

30 papers receiving 444 citations

Peers

Ying Zhong
Comparison fields: 5 of 67
  • Artificial Intelligence 327
  • Computer Networks and Communications 300
  • Signal Processing 184
  • Computer Vision and Pattern Recognition 48
  • Information Systems 47
Replace Izchak Sharfman with:
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Prasad Sistla United States
Junyang Qiu China
Kyungbaek Kim South Korea
Patryk Szewczyk Australia
Arnold P. Boedihardjo United States
Saeed Amizadeh United States
Thanh T. L. Tran United States
Mohamed A. Sharaf United States
Yunhan Jia United States
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Citations per field
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Citations per year

Countries citing papers authored by Ying Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ying Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zhong. A scholar is included among the top collaborators of Ying Zhong 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 Ying Zhong. Ying Zhong 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 8
4 2
5 3
6 10
7 3
8 2
9 104
10
ADSIM: Network Anomaly Detection via Similarity-aware Heterogeneous Ensemble Learning
1
11 73
12 2
13 9
14
Practical Traffic-space Adversarial Attacks on Learning-based NIDSs.
14
15 2
16 8
17 2
18 6
19
[Structural characterization and spectroscopic analysis of the aloin].
3
20 7

About Ying Zhong

Ying Zhong is a scholar working on Signal Processing, Transportation and Computer Networks and Communications, having authored 32 papers that have together received 460 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Signal Processing (184 citations), Computer Networks and Communications (300 citations) and Artificial Intelligence (327 citations). Ying Zhong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xingang Shi, Jiahai Yang, Zhiliang Wang, Wenqi Chen, Dongqi Han, Xia Yin, Keqin Li, Yin Xia, Shuqiang Lu and Kai Wang. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Sustainability.

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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