Q. Q. Qian

8 papers receiving 374 citations

Hit Papers

PINN-FORM: A new physics-informed neural network for reli...202320262024202520234080120

Peers

Q. Q. Qian
Comparison fields: 5 of 57
  • Control and Systems Engineering 229
  • Electrical and Electronic Engineering 202
  • Civil and Structural Engineering 45
  • Artificial Intelligence 40
  • Statistics, Probability and Uncertainty 36
Replace Sermsak Uatrongjit with:
Sermsak Uatrongjit Thailand
Sabrina Corpino Italy
Xichen Jiang United States
Maryamsadat Tahavori Denmark
E.W. Gunther United States
Eric Walters United States
Canghua Jiang China
Rôman Kuiava Brazil
Gang Cheng China
José Antonio Rosendo Macías Spain
Q. Q. Qian relative to Sermsak Uatrongjit Thailand Sermsak Uatrongjit's profile →
Citations per field
00.5×5.3×
Sermsak Uatrongjit · 1×
Citations per year

Countries citing papers authored by Q. Q. Qian

Since Specialization
Citations

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

Fields of papers citing papers by Q. Q. Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Q. Q. Qian

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 3
5
PINN-FORM: A new physics-informed neural network for reliability analysis with partial differential equationbreakdown →
147
6 72
7 125
8 22
9 11
10 3

About Q. Q. Qian

Q. Q. Qian is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 10 papers that have together received 384 indexed citations. Recurring topics across this work include Power Systems Fault Detection (3 papers), Silicon Carbide Semiconductor Technologies (2 papers) and Advanced Sensor and Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (229 citations), Statistics, Probability and Uncertainty (36 citations) and Electrical and Electronic Engineering (202 citations). Q. Q. Qian has collaborated with scholars based in China, Australia and Türkiye. Frequent co-authors include Zhiyi He, Sheng Lin, Zeng Meng, Bo Yu, Ali Rıza Yıldız, Seyedali Mirjalili, Shaohui Lin, He Wen, Ruikun Mai and Peng Hao. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and International Journal of Electrical Power & Energy Systems.

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