Qing Ye

894 total citations
45 papers, 448 citations indexed

About

Qing Ye is a scholar working on Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qing Ye has authored 45 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qing Ye's work include Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (4 papers) and Bioinformatics and Genomic Networks (4 papers). Qing Ye is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (4 papers) and Bioinformatics and Genomic Networks (4 papers). Qing Ye collaborates with scholars based in China, United States and Macao. Qing Ye's co-authors include Tingjun Hou, Dongsheng Cao, Yu Kang, Chang‐Yu Hsieh, Shibo He, Jiming Chen, Ziyi Yang, Wenyuan Zhou, Kim Hiang Liow and Cuifeng Ying and has published in prestigious journals such as Chemical Reviews, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Qing Ye

42 papers receiving 437 citations

Peers

Qing Ye
Comparison fields: 5 of 109
  • Molecular Biology 195
  • Computational Theory and Mathematics 182
  • Materials Chemistry 62
  • Biomedical Engineering 57
  • Radiology, Nuclear Medicine and Imaging 51
Replace Qurrat Ul Ain with:
Qurrat Ul Ain New Zealand
Bengong Zhang China
Soumyendu Raha India
Ruihan Yang China
Stefan J. Zasada United Kingdom
Ádám Arany Belgium
Parvin Razzaghi Iran
Jonas Verhoeven Belgium
Ch. Madhu Babu India
Xiaolong Wu China
Qurrat Ul Ain New Zealand View profile →
Citations per field, relative to Qing Ye
Qing Ye · 1×
Citations per year, relative to Qing Ye
Qing Ye · 1×

Countries citing papers authored by Qing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ye. A scholar is included among the top collaborators of Qing Ye 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 Qing Ye. Qing Ye 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
# Work Indexed citations
1 2
2 1
3 0
4 3
5 2
6 0
7 2
8 3
9 1
10 8
11 3
12 10
13 27
14 166
15 12
16 4
17 23
18
Simulation and analysis of full-cycle fourier algorithm for removing decaying DC component in microprocessor-based protection
0
19
Evidence combination method based on the weight coefficients and the confliction probability distribution
10
20
Real-time geometrical distortion rectification method for vehicle license
2

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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