Kaiyuan Jiang

666 citations
18 papers · 464 indexed · 1 hit paper · h-index 8
Topics
Remote Sensing and LiDAR Applications (4 papers)Wireless Signal Modulation Classification (3 papers)Software Engineering Research (2 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Kaiyuan Jiang

16 papers receiving 435 citations

Hit Papers

Network Intrusion Detection Combined Hybrid Sampling With...20202026202220242020100200300

Peers

Kaiyuan Jiang
Comparison fields: 5 of 60
  • Computer Networks and Communications 329
  • Artificial Intelligence 316
  • Signal Processing 142
  • Information Systems 68
  • Computer Vision and Pattern Recognition 30
Replace Lifa Wu with:
Lifa Wu China
Makhlouf Derdour Algeria
Chaochao Luo China
Muhammad Ejaz Ahmed Australia
Shamsher Ullah China
Guangquan Xu China
Hui‐Tang Lin Taiwan
Fanzhi Meng China
Huowang Chen China
Jinting Zhu New Zealand
Kaiyuan Jiang relative to Lifa Wu China Lifa Wu's profile →
Citations per field
00.5×1.5×
Lifa Wu · 1×
Citations per year

Countries citing papers authored by Kaiyuan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyuan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyuan Jiang

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 5
6 19
7 35
8
Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Networkbreakdown →
302
9 27
10 7
11 14
12 5
13 1
14 6
15 1
16 32
17 1
18 7

About Kaiyuan Jiang

Kaiyuan Jiang is a scholar working on Instrumentation, Human-Computer Interaction and Environmental Engineering, having authored 18 papers that have together received 464 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (4 papers), Wireless Signal Modulation Classification (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Computer Networks and Communications (329 citations), Signal Processing (142 citations) and Artificial Intelligence (316 citations). Kaiyuan Jiang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Aili Wang, Haibin Wu, Wenya Wang, Yuji Iwahori, Zhiyuan Fang, Yu Zhou, Jiawei Zhang, Qing Guo, Liming Chen and Zhenyu Na. Their work appears in journals such as IEEE Access, Sensors and Applied Sciences.

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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