Quan Qian

2.4k citations
101 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
Machine Learning in Materials Science (18 papers)Network Security and Intrusion Detection (12 papers)Privacy-Preserving Technologies in Data (9 papers)
Partner nations
ChinaHong KongJapan

In The Last Decade

Quan Qian

91 papers receiving 1.6k citations

Hit Papers

Privacy Preserving Machine Learning with Homomorphic Encr...2021202620222024202150100150200

Peers

Quan Qian
Comparison fields: 5 of 125
  • Artificial Intelligence 590
  • Materials Chemistry 467
  • Computer Networks and Communications 384
  • Signal Processing 364
  • Information Systems 252
Replace Zhengzhang Chen with:
Zhengzhang Chen United States
Yong Guan United States
Cheng Luo China
Zilong Jin China
Hanjun Dai United States
Jianjun Li China
Fengjun Li China
Robert Mitchell United States
Xiaofei He China
Qianlong Wang China
Quan Qian relative to Zhengzhang Chen United States Zhengzhang Chen's profile →
Citations per field
00.5×4.1×
Zhengzhang Chen · 1×
Citations per year

Countries citing papers authored by Quan Qian

Since Specialization
Citations

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

Fields of papers citing papers by Quan Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Qian. A scholar is included among the top collaborators of Quan Qian 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 Quan Qian. Quan Qian 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 1
3 0
4 9
5 0
6 3
7 6
8 2
9 6
10 6
11 6
12 6
13 28
14 16
15 15
16 12
17 45
18 7
19 8
20
Relative Network Entropy based Clustering Algorithm for Intrusion Detection
3

About Quan Qian

Quan Qian is a scholar working on Artificial Intelligence, Signal Processing and Metals and Alloys, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (18 papers), Network Security and Intrusion Detection (12 papers) and Privacy-Preserving Technologies in Data (9 papers). The work is most often cited by research in Signal Processing (364 citations), Artificial Intelligence (590 citations) and Computer Networks and Communications (384 citations). Quan Qian has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Lin Wang, Rui Zhang, Qiao Ni, Yiyu Qian, Mingdong Tang, Peng Zhang, Ke Hu, Jianjia Wang, Yikun Wang and Xing Wu. Their work appears in journals such as Journal of The Electrochemical Society, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026